This document discusses Microsoft's plans to deliver SQL Server on Linux and other heterogeneous environments. Key points include:
- SQL Server will be available on Linux, Windows, and Docker containers, allowing choice of operating system. It will support multiple languages and tools.
- Microsoft is delivering more options in response to businesses adopting heterogeneous environments with various data types, languages, and platforms.
- The document outlines SQL Server's capabilities on Linux such as high availability, security, and tools/drivers available now or in development.
SQL Server In-Memory OLTP: What Every SQL Professional Should KnowBob Ward
Perhaps you have heard the term “In-Memory” but not sure what it means. If you are a SQL Server Professional then you will want to know. Even if you are new to SQL Server, you will want to learn more about this topic. Come learn the basics of how In-Memory OLTP technology in SQL Server 2016 and Azure SQL Database can boost your OLTP application by 30X. We will compare how In-Memory OTLP works vs “normal” disk-based tables. We will discuss what is required to migrate your existing data into memory optimized tables or how to build a new set of data and applications to take advantage of this technology. This presentation will cover the fundamentals of what, how, and why this technology is something every SQL Server Professional should know
SQL Server R Services: What Every SQL Professional Should KnowBob Ward
SQL Server 2016 introduces a new platform for building intelligent, advanced analytic applications called SQL Server R Services. This session is for the SQL Server Database professional to learn more about this technology and its impact on managing a SQL Server environment. We will cover the basics of this technology but also look at how it works, troubleshooting topics, and even usage case scenarios. You don't have to be a data scientist to understand SQL Server R Services but you need to know how this works so come upgrade you career by learning more about SQL Server and advanced analytics.
Hekaton is the original project name for In-Memory OLTP and just sounds cooler for a title name. Keeping up the tradition of deep technical “Inside” sessions at PASS, this half-day talk will take you behind the scenes and under the covers on how the In-Memory OLTP functionality works with SQL Server.
We will cover “everything Hekaton”, including how it is integrated with the SQL Server Engine Architecture. We will explore how data is stored in memory and on disk, how I/O works, how native complied procedures are built and executed. We will also look at how Hekaton integrates with the rest of the engine, including Backup, Restore, Recovery, High-Availability, Transaction Logging, and Troubleshooting.
Demos are a must for a half-day session like this and what would an inside session be if we didn’t bring out the Windows Debugger. As with previous “Inside…” talks I’ve presented at PASS, this session is level 500 and not for the faint of heart. So read through the docs on In-Memory OLTP and bring some extra pain reliever as we move fast and go deep.
This session will appear as two sessions in the program guide but is not a Part I and II. It is one complete session with a small break so you should plan to attend it all to get the maximum benefit.
Inside sql server in memory oltp sql sat nyc 2017Bob Ward
This document provides a high-level summary of In-Memory OLTP in SQL Server:
- In-Memory OLTP stores and processes transactional data entirely in memory using natively compiled stored procedures to avoid concurrency bottlenecks like locks and latches.
- Data is stored in memory-optimized tables using either a hash index or range index for fast lookup. Transactions are logged and written to checkpoint files for durability.
- The Hekaton engine handles all transaction processing in memory without locks by using techniques like multi-version concurrency control and lock-free data structures. Checkpoint files are used to reconstruct the database after a restart.
- Natively compiled stored procedures provide improved performance by
With the recent release of SQL Server 2016 SP1 providing a consistent programming surface area has generated quite a buzz in the SQL Server community. SQL Server 2016 SP1 allows businesses of all sizes to leverage full feature set such as In-Memory technologies on all editions of SQL Server to get enterprise grade performance. This presentation focuses on the new improvements, new limits on the lower editions, differentiating factors and key scenarios enabled by SQL Server 2016 SP1 which makes SQL Server 2016 SP1 an obvious choice for the customers. This session was delivered to PASS VC DBA fundamentals chapter for everyone to learn about these exciting new improvements announced with SQL Server 2016 SP1 to ensure they are leveraging them to maximize performance and throughput of your SQL Server environment.
SQL Server 2016 introduces new capabilities to help improve performance, security, and analytics:
- Operational analytics allows running analytics queries concurrently with OLTP workloads using the same schema. This provides minimal impact on OLTP and best performance.
- In-Memory OLTP enhancements include greater Transact-SQL coverage, improved scaling, and tooling improvements.
- The new Query Store feature acts as a "flight data recorder" for databases, enabling quick performance issue identification and resolution.
SQL Server 2016: Just a Few of Our DBA's Favorite ThingsHostway|HOSTING
Join Rodney Landrum, Senior DBA Consultant for Ntirety, a division of HOSTING, as he demonstrates his favorite new features of the latest Microsoft SQL Server 2016 Service Pack 1.
During the accompanying webinar and slides, Rodney will touch on the following:
• A demo of his favorite new features in SQL Server 2016 and SP1 including:
o Query Store
o Database Cloning
o Dynamic Data Masking
o Create or Alter
• A review of Enterprise features that are now available in standard edition
• New information in Dynamic Management Views and SQL Error Log that will make your DBAs job easier.
SQL Server 2016 New Features and EnhancementsJohn Martin
SQL Server 2016 new features session that I delivered at SQL Relay 2015 at; Reading, London, Cardiff and Birmingham.
Looking at some of the new features currently slated for inclusion in the next version of Microsoft SQL Server 2016.
Demo Code can be found at: http://1drv.ms/1PC5smY
SQL Server 2016 introduces new editions that provide varying levels of capabilities for different workloads. The key editions are Express, Standard, and Enterprise. Express is free and ideal for small applications. Standard provides core data management and business intelligence. Enterprise delivers comprehensive datacenter capabilities for mission critical workloads and advanced analytics. All editions now support new security features and hybrid cloud capabilities like stretch database.
This document provides an overview of Postgresql, including its history, capabilities, advantages over other databases, best practices, and references for further learning. Postgresql is an open source relational database management system that has been in development for over 30 years. It offers rich SQL support, high performance, ACID transactions, and extensive extensibility through features like JSON, XML, and programming languages.
Industry leading
Build mission-critical, intelligent apps with breakthrough scalability, performance, and availability.
Security + performance
Protect data at rest and in motion. SQL Server is the most secure database for six years running in the NIST vulnerabilities database.
End-to-end mobile BI
Transform data into actionable insights. Deliver visual reports on any device—online or offline—at one-fifth the cost of other self-service solutions.
In-database advanced analytics
Analyze data directly within your SQL Server database using R, the popular statistics language.
Consistent experiences
Whether data is in your datacenter, in your private cloud, or on Microsoft Azure, you’ll get a consistent experience.
Compressed Introduction to Hadoop, SQL-on-Hadoop and NoSQLArseny Chernov
This document provides a compressed introduction to Hadoop, SQL-on-Hadoop, and NoSQL technologies. It begins with welcoming remarks and then provides short overviews of key concepts in less than 3 sentences each. These include introductions to Hadoop origins and architecture, HDFS, YARN, MapReduce, Hive, and HBase. It also includes quick demos and encourages questions from the audience.
The document provides an overview of new features in SQL Server 2016, including stretching databases to Azure, saving SQL Server data files to Azure Blob storage, native JSON support, the new Query Store feature, in-memory OLTP, in-memory columnstore indexes, row-level security, and dynamic data masking. It includes a to-do list of topics to cover and provides resources for further reading.
Citus Architecture: Extending Postgres to Build a Distributed DatabaseOzgun Erdogan
Citus is a distributed database that scales out Postgres. By using the extension APIs, Citus distributes your tables across a cluster of machines and parallelizes SQL queires. This talk describes the Citus architecture by focusing on our learnings in distributed systems. We first describe how Citus leverages PostgreSQL's extension APIs. These APIs are rich enough to store distributed metadata, add new commands to Postgres to help with sharding, parallelize and execute queries in a distributed cluster, and handle automatic failover of machines. Second, we show the architecture of a distributed query planner. We first describe the join order planner and describe how it chooses between broadcast, co-located, and repartition joins to minimize network I/O. We then show how we map SQL queries into distributed relational algebra, and optimize these plans for parallel execution. Third, we note a primary challenge in distributed systems. No single executor works great for all workloads. We show how Citus chooses between three executors, each one optimized for a different workload: NoSQL, operational analytics, and data warehousing. We then conclude with a demo that shows Citus running on a large cluster.
Ashnik EnterpriseDB PostgreSQL - A real alternative to Oracle Ashnikbiz
A Technical introduction to PostgreSQL and Postgres Plus -
Enterprise Class PostgreSQL Database from EDB - You have a ‘Real’ alternative to Oracle and other conventional proprietary Databases
SQL Server 2016 includes several new features such as columnstore indexes, in-memory OLTP, live query statistics, temporal tables, and row-level security. It also features improved manage backup functionality, support for multiple tempdb files, and new ways to format and encrypt query results. Advanced capabilities like PolyBase and Stretch Database further enhance analytics and management of historical data.
Measuring Storage Performance
Course practice
Presented by Valerian Ceaus
The document discusses using SQLIO to test the input/output capacity of a disk subsystem. It provides guidance on running SQLIO tests with different I/O types, sizes, and durations. The document also discusses interpreting SQLIO results and monitoring I/O performance using Windows Performance Monitor and Resource Monitor. Key factors that influence I/O performance like outstanding I/Os, queue depth, throughput, and latency are explained.
Kafka is becoming an ever more popular choice for users to help enable fast data and Streaming. Kafka provides a wide landscape of configuration to allow you to tweak its performance profile. Understanding the internals of Kafka is critical for picking your ideal configuration. Depending on your use case and data needs, different settings will perform very differently. Lets walk through performance essentials of Kafka. Let's talk about how your Consumer configuration, can speed up or slow down the flow of messages to Brokers. Lets talk about message keys, their implications and their impact on partition performance. Lets talk about how to figure out how many partitions and how many Brokers you should have. Let's discuss consumers and what effects their performance. How do you combine all of these choices and develop the best strategy moving forward? How do you test performance of Kafka? I will attempt a live demo with the help of Zeppelin to show in real time how to tune for performance.
This document provides an overview and update on Amazon Aurora, Amazon's relational database service. It discusses new performance enhancements including improved read performance through caching, NUMA-aware scheduling, and lock compression to reduce contention. New availability features are also summarized, such as automatic repair and replacement of failed database nodes and storage volumes that can grow to 64TB. The document outlines Aurora's architecture advantages over traditional databases for scaling in the cloud through its distributed, self-healing design.
SQL Server 2017 will bring SQL Server to Linux for the first time. This presentation covers the scope, schedule, and architecture as well as a background on why Microsoft is making SQL Server available on Linux.
SQL Server v.Next will be released for Linux in 2017. The summary provides an overview of the key points about SQL Server on Linux including:
- SQL Server will have the same functionality and capabilities on Linux as on Windows. It will support the same editions and features such as high availability, security, and programming features.
- The architecture involves a SQL Platform Abstraction Layer that maps Windows APIs to Linux system calls to provide a consistent programming model.
- An early adoption program is currently underway to get feedback from customers and partners on functionality and to help validate SQL Server on Linux prior to general availability in 2017.
SQL Server 2017 on Linux – Azure bootcamp 2017 provides an overview of SQL Server on Linux including:
- The scope of SQL Server features available on Linux initially and what is planned. Key features include the database engine, high availability, and security.
- The architecture of SQL Server on Linux, which uses a Platform Abstraction Layer to provide a consistent interface across platforms. Core components run directly on the OS while others use the abstraction layer.
- Steps to install and configure SQL Server on Linux distributions like SUSE Linux Enterprise Server, configure settings using mssql-conf, and use SQL Server tools on Linux.
SQL Server 2017 on Linux
- SQL Server 2017 will run natively on Linux
- It provides the same features and capabilities as SQL Server on Windows
- It supports the same editions as Windows and can be licensed with the same license
- It has the same database engine and core services as Windows
- Some advanced features like PolyBase and Stretch Database are not yet supported on Linux
- It uses a new platform abstraction layer to run on Linux
SUSE Webinar - Introduction to SQL Server on LinuxTravis Wright
Introduction to SQL Server on Linux for SUSE customers. Talks about scope of the first release of SQL Server on Linux, schedule, Early Adoption Program. Recording is available here:
https://www.brighttalk.com/webcast/11477/243417
SQL Server 2017 will be available on Linux, providing customers choice in platforms. It will include the database engine, integration services and support for technologies like in-memory processing and always encrypted. The same SQL Server licenses can be used on Windows or Linux, with previews available free of charge. Early adopters can test SQL Server 2017 on Linux through a special program and provide feedback to Microsoft.
This document discusses SQL Server 2019 and provides the following information:
1. It introduces Javier Villegas, a technical speaker and SQL Server expert.
2. It outlines several new capabilities in SQL Server 2019 including artificial intelligence, container support, and big data analytics capabilities using Apache Spark.
3. It compares editions and capabilities of SQL Server on Windows and Linux and notes they are largely the same.
Microsoft SQL server 2017 Level 300 technical deckGeorge Walters
This deck covers new features in SQL Server 2017, as well as carryover features from 2012 onwards. This includes high availability, columnstore, alwayson, In-memory tables, and other enterprise features.
PASS Summit - SQL Server 2017 Deep DiveTravis Wright
Deep dive into SQL Server 2017 covering SQL Server on Linux, containers, HA improvements, SQL graph, machine learning, python, adaptive query processing, and much much more.
SQL Server goes Linux - Hello, my name is Tux, I would like to join the #SQLF...Andre Essing
SQL Server und Windows, seit Jahren ein unzertrennliches Paar und eine gute Kombination für die Verarbeitung von Daten. Mit SQL Server 2017 wird sich dies jedoch ändern, denn aus dem Norden Europas, genauer aus Helsinki, möchte ein kleiner Pinguin der SQL Server Community beitreten.
Die kommende SQL Server Version wird es somit nicht mehr ausschließlich für Windows geben. Ein Deployment der relationalen Datenbank Engine wird in naher Zukunft auch auf Linux und innerhalb von Docker möglich sein. Somit bietet der SQL Server nun mehr Einsatzmöglichkeiten und Anwendungsfälle als je zuvor. Aber wie funktioniert SQL Server on Linux? Was wird unterstützt, was nicht? Welche Szenarien sind möglich? Alle diese Punkte möchte in dieser Session besprechen.
SQL Server on Linux will provide the SQL Server database engine running natively on Linux. It allows customers choice in deploying SQL Server on the platform of their choice, including Linux, Windows, and containers. The public preview of SQL Server on Linux is available now, with the general availability target for 2017. It brings the full power of SQL Server to Linux, including features like In-Memory OLTP, Always Encrypted, and PolyBase.
Introduction to SQL Server Analysis services 2008Tobias Koprowski
This is my presentation from 17th Polish SQL server User Group Meeting in Wroclaw. It\'s first part of Quadrology Bussiness Intelligence for ITPros Cycle.
SQL Server 2017 Overview and Partner OpportunitiesTravis Wright
SQL Server 2017 is going to be released later this year. In this session will cover what to expect and how partners can deliver additional value to SQL Server customers.
Microsoft Azure zmienia się. Jego częśc poświęcona bazie danych (Windows Azure SQL Database) zmienia się jeszcze szybciej. Podczas tej sesji chciałbym pokazac tym, którzy nie widzieli, oraz przypomniec tym, którzy już coś wiedzą - o co chodzi z WASD, jakie zmiany nastapiły i czego możemy po tej bazie oczekiwać. Dla odważnych będzie okazja podłączenia się do konta w chmurze i przetestowania ych rozwiązań samemu.
This document summarizes new features in SQL Server 2019 including intelligent query processing, data classification and auditing, accelerated database recovery, data virtualization, SQL Server replication in one command, additional capabilities and migration tools, and a modern platform with Linux, containers, and machine learning services. It provides examples of how these features can help solve modern data challenges and gain performance without changing applications.
Overview SQL Server on Linux
It is just SQL Server. Everything just works
Initially aimed at Database Engine
Currently around 95% features fully supported.
BDRSuite - #1 Cost effective Data Backup and Recovery Solutionpraveene26
BDRSuite and BDRCloud by Vembu are comprehensive and cost-effective backup and disaster recovery solutions designed to meet the diverse data protection requirements of Businesses and Service Providers.
With BDRSuite & BDRCloud, you can backup diverse IT workloads from any location, including VMs (VMware, Hyper-V, KVM, Proxmox VE, oVirt), Servers & Endpoints (Windows, Linux, Mac), SaaS Applications (Microsoft 365, Google Workspace), Cloud VMs (AWS, Azure), NAS/File Shares and Databases & Applications (Microsoft Exchange Server, SQL Server, SharePoint Server, PostgreSQL, MySQL).
You can store backup anywhere like On-Premise/Remote storage, Private/Public Cloud, and BDRCloud.
You can centrally manage the entire backup infrastructure with BDRSuite’s self-hosted centralized management console (or) BDRCloud-hosted centralized management console.
You can quickly recover from data loss or ransomware attacks—all at an affordable price.
To know more visit our website -
https://www.bdrsuite.com/
https://www.bdrcloud.com/
Unlocking the Future of Artificial IntelligencedorinIonescu
Unlock the Future: Dive into AI Today! Videnda AI specializes in developing advanced artificial intelligence solutions, including visual dictionaries and language learning tools that leverage immersive virtual travel experiences. Stay Ahead of the Curve: Master AI Now! Our AI technology integrates machine learning and neural networks to enhance education and business applications. AI: The Next Frontier. Are You Ready to Explore? With a focus on real-time AI solutions and deep learning models, Videnda AI provides innovative tools for multilingual communication and immersive learning.
In this course, you'll find a series of engaging videos packed with vibrant animations that break down complex AI concepts into digestible pieces. Our curriculum covers AI models such as Convolutional Neural Networks (CNN), Multi-Layer Perceptrons (MLP), Generative Adversarial Networks (GAN), and Transformers, providing a solid understanding of these models and their real-world applications. We also offer hands-on experience with Generative AI tools like ChatGPT and Midjourney, and Python programming tutorials to help you implement AI algorithms and build your own AI applications.
We are proud participants in the Nvidia Inception Program, driving AI innovation across various industries. By the end of our course, you'll have a strong understanding of AI principles, enhanced Python programming skills, and practical experience with state-of-the-art Generative AI tools. Whether you're looking to kickstart a career in AI or simply curious about this revolutionary technology, Videnda AI is your partner in mastering the future of artificial intelligence.
The code is written and the tests pass. I just have to commit this last round of changes to my branch. Wait, why does that say committed to main? Did I commit all those changes to main? Arghh! I can’t redo all of this!
Committing changes to the wrong branch, forgetting files, misspelling the commit message, and needing to undo commits are some of the “advanced” features of Git that we normal people run into way too often and need help with. The fixes are often easy – once you know what they are. But in the heat of the moment, with the deadline (or Friday afternoon) approaching, it isn’t always easy to figure out what magic spell to cast to get Git to do what you need.
We’ll spend some time looking at typical Git situations people get themselves into, and then we’ll demonstrate how to get out of them. This isn’t about Git internals or a Git master’s class – this real-world Git when things aren’t going right. And there will be plenty of time for questions, so bring your “best” Git nightmare scenarios so we can figure out how to recover.
In today's dynamic business landscape, ERP software systems are essential tools for businesses worldwide, including those in the UAE. These systems cater to the unique needs of the UAE's rapidly changing economy and expanding industries.
This blog examines the top 10 ERP companies in the UAE, highlighting their innovative products, exceptional customer support, and significant impact on the regional business community. These companies excel in providing ERP solutions that enhance efficiency and growth for businesses throughout the UAE.
1. **Odoo**
- Odoo ERP is a comprehensive business management solution with features like accounting, HR, sales, inventory control, and CRM. Its user-friendly interface simplifies processes and boosts productivity. Banibro IT Solutions leverages Odoo to transform business operations.
- **Details:**
- Suitable for: Small, Medium, Large Businesses
- Open Source: Yes
- Cloud-based: Yes (Cloud and On-premises)
- Support: Phone, Chat, Email
- Payment: Yearly, Monthly
- Multi-Language: Yes
- OS Support: Windows, Mac, iOS, Android
- API: Available
2. **Microsoft Dynamics 365**
- Dynamics 365 offers a centralized platform for small and medium-sized businesses, integrating with Microsoft apps and cloud services for scalability. It simplifies data processing with user-friendly interfaces and customizable reporting.
- **Details:**
- Suitable for: Small, Medium, Large Businesses
- Support: Phone, Chat, Email, Knowledge Base
- Payment: One-Time, Yearly, Monthly
- Multi-Language: No
- OS Support: Web App, Windows, iOS, Android
- API: Not specified
3. **FirstBIT ERP**
- Known for serving small and medium-sized businesses, FirstBIT ERP offers comprehensive solutions and exceptional customer service, enhancing productivity and efficiency.
- **Details:**
- Suitable for: Medium, Large Businesses
- Open Source: Yes/No
- Cloud-based: Yes (Cloud and On-premises)
- Support: Phone, Email, Video Tutorials
- Payment: Yearly, Monthly
- Multi-Language: Yes
- OS Support: Web App, Windows, Mac, iOS, Android
- API: Available
4. **Ezware Technologies**
- Ezware Technologies provides top-notch ERP solutions for various industries with user-friendly modules that streamline complex business processes.
- **Details:**
- Suitable for: Small, Medium, Large Businesses
- Support: Phone, Chat, Email, Knowledge Base
- Payment: One-Time, Yearly, Monthly
- Multi-Language: No
- OS Support: Web App, Windows, Mac, iOS, Android
- API: Not specified
5. **RealSoft**
- RealSoft by Coral is popular in Dubai, offering modules for contracting, real estate, job costing, manufacturing, trading, and finance. It's VAT-enabled and affordable for medium-sized businesses.
- **Details:**
- Suitable for: Small, Medium, Large Businesses
- Open Source: No
- Cloud-based: On-premises
-
BitLocker Data Recovery | BLR Tools Data Recovery SolutionsAlina Tait
BLR Tools provides an advanced BitLocker Data Recovery Tool specifically engineered to recover lost or inaccessible data from BitLocker-encrypted drives. Whether you're dealing with accidental deletion, encryption key problems, or system crashes, our cutting-edge software guarantees a secure and efficient recovery process. Rely on BLR Tools for dependable BitLocker data recovery and effortlessly restore access to your essential files.
Understanding Automated Testing Tools for Web Applications.pdfkalichargn70th171
Automated testing tools for web applications are revolutionizing how we ensure quality and performance in software development. These tools help save time, reduce human error, and increase the efficiency of web application testing processes. This guide delves into automated testing, discusses the available tools, and highlights how to choose the right tool for your needs.
Three available editions of Windows Servers crucial to your organization’s op...Q-Advise
Three available editions of Windows Servers crucial to your organization’s operations
Windows Server, Microsoft’s robust operating system, is the cornerstone of enterprise IT infrastructure, tailored for mission-critical operations. It helps in managing enterprise-level tasks, including data storage, applications, and communication.
Proper licensing of Windows Server is essential for both legal compliance and optimal functionality within business environments.
Windows Server comes in various edition and before any edition is used in your organization, it is required you license them appropriately. The licensing can be complex and capital demanding when you don’t know what you want or understand the licensing requirements.
Even if successfully licensed, there are various activities you can practice as an organization to make sure your Server is operating optimally and there is real value for money. This requires a deeper understanding of best practices and our team of cloud and licensing experts can be of support.
Send the team an email, info@q-advise.com let’s have a look at your needs, together with you decide which licensing model will best work in your case, assist you with savings options and share with you how pre-owned licensing can help you get licensed adequately also.
Tube Magic Software | Youtube Software | Best AI Tool For Growing Youtube Cha...David D. Scott
Tube Magic Software is your ultimate tool for creating stunning video content with ease. Designed with both beginners and professionals in mind, it offers a user-friendly interface packed with powerful features. From seamless editing to eye-catching effects, Tube Magic helps you bring your creative vision to life. Elevate your videos and captivate your audience effortlessly. Join our community of content creators and experience the magic today!
Literals - A Machine Independent Feature21h16charis
Introduction to Literals, A machine independent feature. The presentation is based on the prescribed textbook for System Software and Compiler Design, Computer Science and Engineering - System Software by Leland. L. Beck,
D Manjula.
How Generative AI is Shaping the Future of Software Application DevelopmentMohammedIrfan308637
Generative AI is revolutionizing software development. Find out how it enhances innovation and productivity. https://www.qisacademy.com/blog-detail/the-power-of-generative-ai-in-software-application-development
PathSpotter: Exploring Tested Paths to Discover Missing Tests (FSE 2024)Andre Hora
When creating test cases, ideally, developers should test both the expected and unexpected behaviors of the program to catch more bugs and avoid regressions. However, the literature has provided evidence that developers are more likely to test expected behaviors than unexpected ones. In this paper, we propose PathSpotter, a tool to automatically identify tested paths and support the detection of missing tests. Based on PathSpotter, we provide an approach to guide us in detecting missing tests. To evaluate it, we submitted pull requests with test improvements to open-source projects. As a result, 6 out of 8 pull requests were accepted and merged in relevant systems, including CPython, Pylint, and Jupyter Client. These pull requests created/updated 32 tests and added 80 novel assertions covering untested cases. This indicates that our test improvement solution is well received by open-source projects.
Empowering Businesses with Intelligent Software Solutions - GrawlixAarisha Shaikh
Explore Grawlix's comprehensive suite of intelligent software solutions designed to drive transformative growth and scalability for businesses. This presentation covers our expertise in bespoke software development, digital marketing, web design, cloud solutions, cybersecurity, AI/ML, and IT consulting. Discover how Grawlix's customized solutions enhance productivity, streamline processes, and enable data-driven decision-making. Learn about our key projects, technologies, and the dedicated team who ensures exceptional client satisfaction through innovation and excellence.
Test Polarity: Detecting Positive and Negative Tests (FSE 2024)Andre Hora
Positive tests (aka, happy path tests) cover the expected behavior of the program, while negative tests (aka, unhappy path tests) check the unexpected behavior. Ideally, test suites should have both positive and negative tests to better protect against regressions. In practice, unfortunately, we cannot easily identify whether a test is positive or negative. A better understanding of whether a test suite is more positive or negative is fundamental to assessing the overall test suite capability in testing expected and unexpected behaviors. In this paper, we propose test polarity, an automated approach to detect positive and negative tests. Our approach runs/monitors the test suite and collects runtime data about the application execution to classify the test methods as positive or negative. In a first evaluation, test polarity correctly classified 117 tests as as positive or negative. Finally, we provide a preliminary empirical study to analyze the test polarity of 2,054 test methods from 12 real-world test suites of the Python Standard Library. We find that most of the analyzed test methods are negative (88%) and a minority is positive (12%). However, there is a large variation per project: while some libraries have an equivalent number of positive and negative tests, others have mostly negative ones.
How to Secure Your Kubernetes Software Supply Chain at ScaleAnchore
Achieving comprehensive security visibility in Kubernetes environments is essential for maintaining robust and compliant cloud-native applications. In this exclusive webinar, Anchore and Spectro Cloud team up to showcase how to enhance your Kubernetes security posture with SBOM (Software Bill of Materials) management and vulnerability scanning.
Join Cornelia Davis, VP of Product, Spectro Cloud and Alan Pope, Director of Developer Relations, Anchore to learn how to elevate your Kubernetes security visibility and protect your cloud-native applications effectively.
—Discover how Anchore can be integrated with Spectro Cloud Palette to take SBOM scanning to the next level, delivering fully automated software compliance
—Gain valuable insights into best practices for securing your Kubernetes workloads, ensuring compliance, and improving your DevSecOps processes.
4. Microsoft
is delivering
on choice
SQL Server on Linux
HDInsight on Linux
R Server on Linux
Linux in Azure
SQL Server drivers
and connectivity
Visual Studio Code
extension for SQL Server
Python,
Ruby, …
20,000 applications for the SQL Server on Linux private
preview program, including more than 55% of Fortune
500 companies.
NEW
5. National Institute of Standards and Technology Comprehensive Vulnerability Database update 12/2016.
Everything built-inTPC-H
Oracle
is #5#2
SQL Server
#1
SQL Server
#3
SQL Server
The power of SQL Server
Everything built-in
June 2016
SQL Server 2016
TPC-E
0 1
4
0 0
3
0
34
29
22
15
5
22
16
6
43
20
69
18
49
74
3
0
10
20
30
40
50
60
70
80
2010 2011 2012 2013 2014 2015 2016
SQL Server Oracle MySQL2 SAP HANA
1/12
6. Only data solution to
encrypt your data at
rest and in motion
Connect your
relational data to
big data with PolyBase
Real-time operational
analytics without
impacting performance
Up to 30x faster
transactions, 100x faster
queries with InMemory
Unparalleled choice
for developer tools
and languages
1 T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
For all your applications
Innovations across all editions
Available now
SQL Server 2016 SP1
7. On the platform of your choice
SQL Server v.Next
Targeting CY2017
SQL Server v.Next GA*
SQL Server v.Next Public Preview available now on Linux, Windows, and Docker.
8. Your choice of language and tooling
Java C/C++ PHP
C#
VB.NET
PythonJavaScript Ruby
SQL Server Azure SQL Database SQL DW
JDBC ODBC
ODBC
ADO.NET
FreeTDS
Tedious Node.js
Driver
FreeTDSODBCFreeTDS
Node.js
Driver
PHP
Driver
db-lib Pymssql
Pymssql
TinyTDS
TinyTDS
RailsDjango
10. • Buying a SQL Server license grants
the option to use it on Windows
Server or Linux
• Previews are free to download and
use in a non-production capacity
• Same familiar set of editions
(Enterprise, Standard, Developer)LICENSE
Licensing
Same license, new choice
11. Stay ahead of the competition with the latest innovations
Be future-ready with Software Assurance
TODAY vNEXT v∞
Always have access to the latest New Version Rights
• Improve productivity with the
latest technologies
• Lower the cost of acquiring new
product versions
• Simplify licensing, budgeting and
administration
13. Linux Containers
Windows
Windows Server
• RedHat Enterprise Linux (RHEL) 7.3
• SUSE Enterprise Linux (SLES) v12 SP2
• Ubuntu 16.04 and 16.10
• Possibly other Linux distributions
• Docker: Windows & Linux containers
• Windows Server / Windows 10
• Package based installation
Example: yum install mssql-server
14. Windows Linux GA
Developer, Express, Web, Standard, Enterprise
Database Engine
R Services, Integration Services, Analysis Services, Reporting Services, MDS,
DQS
Maximum number of cores Unlimited TBD
Maximum memory utilized per instance 12 TB TBD
Maximum database size 524 PB TBD
Basic OLTP (Basic In-Memory OLTP, Basic operational analytics)
Advanced OLTP (Advanced In-Memory OLTP, Advanced operational analytics)
Basic high availability (2-node single database failover, non-readable
secondary)
Advanced HA (Always On - multi-node, multi-db failover, readable secondaries)
Security
Basic security (Basic auditing, Row-level security, Data masking, Always
Encrypted)
Advanced security (Transparent Data Encryption)
Data
warehousing
PolyBase
Basic data warehousing/data marts (Basic In-Memory ColumnStore,
Partitioning, Compression)
Advanced data warehousing (Advanced In-Memory ColumnStore)
Advanced data integration (Fuzzy grouping and look ups)
Tools
Windows ecosystem: Full-fidelity Management & Dev Tool (SSMS & SSDT),
command line tools
Linux/OSX/Windows ecosystem: Dev tools (VS Code), DB Admin GUI tool,
command line tools
Developer
Programmability (T-SQL, CLR, Data Types, JSON)
Windows Filesystem Integration - FileTable
BI & Advanced
Analytics
Basic Business Intelligence (Multi-dimensional models, Basic tabular model)
Basic “R” integration (Connectivity to R Open, Limited parallelism for ScaleR)
Advanced “R” integration (Full parallelism for ScaleR)
Hybrid cloud Stretch Database
What’s
coming in
SQL Server
on Linux
15. Programming Features
• Support for RHEL, SUSE, Ubuntu, Docker
• Package based installs, Docker image
• Support for Open Shift, Docker Swarm
• Failover Clustering through Pacemaker
• Backup/Restore
• Replication
• Log Shipping
• Transparent Data Encryption
• SCOM Management Pack
• DMVs
• Always On Availability Groups
• SQL Agent (coming in March)
• Full Text Search
Operations Features
• All major language driver compatibility
• In memory OLTP and ColumnStore
• Compression
• Always Encrypted, Row Level Security, and Data Masking
• Service Broker
• Change Data Capture
• Partitioning
• Auditing
• Common Language Runtime (CLR) - .NET Framework
• JSON, XML
What’s working already?
…and more!
16. SQL Control Access
Database access SQL Authentication
Active Directory Authentication
Granular Permissions
Application access Row-Level Security
Dynamic Data Masking
Monitor Access
Tracking activities Fine-Grained Audit
Protect Data
Encryption at rest Transparent Data Encryption
Backup Encryption
Cell-Level Encryption
Encryption in transit Transport Layer Security (SSL/TLS)
Encryption in use (client) Always Encrypted
Protect Data
Encryption at rest Transparent Data Encryption
Backup Encryption
Cell-Level Encryption
Encryption in transit Transport Layer Security (SSL/TLS)*
Encryption in use (client) Always Encrypted
Control Access
Database access SQL Authentication
Active Directory Authentication*
Granular Permissions
Application access Row-Level Security
Dynamic Data Masking
*In progress
17. • Resilience against guest & OS
level failures
• Planned & unplanned events
• Minimum downtime for patching
and upgrades
• Minutes RTO
VM Failure
• Protection against accidental or
malicious data corruption
• DR protection
• Minutes to hours RTO
Backup/Restore
• Instance level protection
• Automatic failure detection &
failover
• Seconds to minutes RTO
• Resilience against OS and SQL
Server failures
Standard HADR
Failover Cluster
• AG with 2 replicas
Basic Availability Groups
• Warm standbys for DR
Log Shipping*
• Database level protection
• Seconds RTO
• No data loss
• Recover from unplanned outage
• No downtime for planned
maintenance
• Offload read/backup workload
to active secondaries
• Failover to geographically
distributed secondary site
Availability Groups
Mission-Critical HADR
*In progress
18. • Windows-based SQL Server tools
like SSMS, SSDT, Profiler work
when connected to SQL Server on
Linux
• 3rd party tools continue to work
• Native command line tools:
sqlcmd, bcp, sqlpackage
• Visual Studio Code extension
• New cross-platform DB admin GUI
tool (planned)
• All existing drivers and frameworks
supported
21. SQL Platform Abstraction Layer
(SQLPAL)
RDBMS IS AS RS
Windows Linux
Windows
Host Ext.
Linux Host
Extension
SQL Platform Abstraction Layer
(SQLPAL)
Win32-like APIs
Host Extension mapping to OS system calls
(IO, Memory, CPU scheduling)
SQL OS API
SQL OS v2
Everything else
System Resource &
Latency Sensitive
Code Paths
24. • System continuously monitors
query performance and quickly
corrects any plan regressions
• Supports detect-only and detect+
correct modes of operation
• Validates the forcing decisions,
monitors and adjusts as needed
• Built on top of Query Store
• Uses Query Store Plan Forcing
Performance stability with Automatic Query Plan Tuning
CPU Consumption over time
25. Database engine enhancements
First-class support for Graph data
• Full CRUD support to create
nodes and edges
• Query language extension
provides multi-hop navigation
using join-free pattern matching
• SQL engine integration
enables querying across SQL
tables and graph data
• Existing tools work out of the
box with graph dataAdventure
Works
Statistics
Program
manager
Andy Smith
Business
analyst
Mary Jones
Bachelor
of Science,
Finance
Degree
earned
Position
Position
Employer
Employer
Role in
company
Role in
company
Skill
Skill
Coworker
Contoso
Former
employer
Role in
company
Professional networking app
26. Database engine enhancements
T-SQL Language Enhancements
• New aggregate function:
STRING_AGG
• New String functions:
CONCAT_WS,
TRANSLATE,
TRIM
• New DDL, by popular demand
DROP…IF EXISTS (SQL 2016)
CREATE OR ALTER
• New Japanese Collations
New T-SQL Functions bring both convenience and speed
STRING_AGG significantly outperforms the previous solutions
29. SQL Server v.Next
Timeline
3/2016
Announce and
private preview
11/2016
Public Preview
@ Connect()
Targeting
CY2017
GA
Monthly releases
CTP2 – production support for EAP
30. ISVs, service providers and hosters with customers in EAP will also be added to EAP so they can participate there.
•Direct access to engineering
team via PM buddy / Yammer
•Visibility into roadmap
•Provide feedback and input
into design of new features
•Full production support from
Microsoft Support via special
support channel
•License amendment to allow
running vNext in production
prior to GA
•Release to release upgrade
support
•Real world usage of SQL
Server in production to verify
quality, scale and performance
•Discover bugs
•Discover issues preventing
customer adoption in
production
•Document customer evidence
•NDA
•Sign license agreement
amendment
•Complete pre-deployment
questionnaire
•Meet with Microsoft
Support
Customer Benefits Microsoft Goals Requirements
SQL Server Early Adoption Program
31. Developing new applications on Linux
Choose your path
Deploy your
application
Choose your
development environment
Upgrade to
SQL Server v.Next
Use simple backup and restore from
Windows to Linux
Go-live
Deploy today and easily
migrate to v.Next
Test your app today and go live close
to GA with the Early Adoption Program
OR
macOS
32. Migrate to SQL Server v.Next
Get free SQL Server licenses today when you migrate!*
Use migration tools
and partners
Identify apps
for migration
Run
SQL Server v.Next
Deploy
to production
Oracle
Sybase
DB2
AND OR
Use simple backup and
restore from Windows
to Linux
Go-live
Deploy today and easily
migrate to v.Next
Test your app today and
go live close to GA with
the Early Adoption Program
Software Assurance subscription required. Some restrictions may apply. Limited time offer—free training and subsidized deployment services available until December 31, 2016.
https://www.microsoft.com/en-us/sql-server/sql-license-migration
MySQL
The business landscape is becoming increasingly diverse
Development and deployment environments include Windows, Linux, macOS, and Docker
Data is no longer relational, with companies accessing diverse data, including video, streaming, documents, relational, both external data and data internal to their org
Languages and frameworks are also expanding with the poularity of Node.js, Python, Ruby and others
Companies deploy on-premises, in the cloud, or both, with a hybrid solution
Microsoft has delivered a number of products enabling choice for customers, including:
HD Insight on Linux - a managed Apache Hadoop, Spark, R, HBase, and Storm cloud service made easy
R Server on Linux - Use R—the powerful, statistical programming language—in an enterprise-class, big data analytics platform. Microsoft R Server is your flexible choice for analyzing data at scale, building intelligent apps, and discovering valuable insights across your business (https://www.microsoft.com/en-us/cloud-platform/r-server)
Linux in Azure – run Linux-based virtual machines in Microsoft Azure (IaaS)
Customers can take advantage of Microsoft–created database connectivity drivers and open-source drivers that enable developers to build any application using the platforms and tools of their choice, including Python, Ruby, and Node.js
SQL Server is the new industry leader and SQL Server 2016 is packed with value for customers and as with our history, that value is built-in to a single enterprise sku with no additional add-ons.
Let’s take a look at the top 5 reasons why you want to bet your business needs on SQL Server. If you are on SQL Server 2005 there is no better time to modernize your apps. If you are on Oracle or IBM, no better time to look again at the value you can gain today at a much lower TCO.
<click>
Industry leader in mission critical OLTP
In case you missed, there is a new leader in Gartner’s core database MQ, where SQL Server for the first time has de-throned Oracle in both execution and vision! Microsoft SQL Server has been the industry leader for two years in a row! Customers are realizing the value that Microsoft is delivering at a rapid pace and in a customer friendly way by building-in innovation verses requiring add-ons.
SQL Server also has #1 rankings across a number of TPC-E and TPC-H performance benchmarks
Speaking of security and performance, let’s take a look at how we fair against the competition.<click>
Most secure database
SQL Server continues to be the least vulnerable database 6 years in a row. NIST (National Institute of Standards and Technology) tracks database vulnerabilities and shows SQL as the lowest even though we have more units deployed in production than both Oracle and IBM combined. So what does that mean, if you look at the chart you will see Oracle has many more vulnerabilities, this doesn’t mean that Oracle didn’t address them, but until the vulnerability patch is released and you implement it your data is at risk. Fewer vulnerabilities means fewer patches and your data is less exposed to attack.
In addition, SQL Server 2016 delivers layers of protection with capabilities that can protect your data at rest and in motion, even in the memory buffer pool, without impacting database performance, along with the ability to control access and monitor threats. This multi-layered approach combined with proven track record of being least vulnerable provide you with the most secure database on the planet. <click>
Highest performing data warehouse
From a performance perspective, looking at TPC-H a standard benchmark particularly for Data Warehousing workloads, SQL holds the number #1, #2, and #3 spots for non-clustered scale up performance on multiple hardware platforms including HP, Lenovo and Cisco and for multiple data sizes including 1TB, 3TB and 10TB. Oracle comes in at #4. This not only showcases SQL Server performance, but performance at scale for data warehousing.
SQL Server 2016 can scale from data marts to the biggest DW workloads. With SQL Server 2016 enterprise you also get the rights to deploy our scale out MPP (massive parallel processing) data warehousing appliance, so again incredible value out of a single sku. <click>
End to end mobile BI on any device
Now let’s take a look at end to end mobile BI solution. Many of you may have heard about the Datazen acquisition we made to provide our customer with mobile BI on any device. Well in SQL Server 2016 this will be integrated into Reporting Services, which we are enhancing in a big way. What this means is you can now publish modern reports using PowerBI or Excel 2016 to an iPhone, Android phone, as well as Windows phone. Best of all its built-in so no need to buy a separate product. With the new integration of Power BI and SQL Server you can enable self-service BI in addition to mobility. Even if you choose to enable self-service BI you are doing it at a fraction of the cost of Tableau and Oracle. Even though Tableau has added mobile it’s only iOS and not Android, which is important outside of the US and Tableau is only a point solution for BI, where as SQL Server can tackle all data workloads give you BI and Advanced Analytics built-in. <click>
In-database Advanced Analytics
Many customers are exploring going beyond BI into predicative analytics where they want to proactively pave their businesses future with data rather than react to data. With SQL Server 2016 you can now accomplish this with built-in in-database advanced analytics. Again the key here is in-database, because when you talk to customers trying to implement advanced analytics the number one challenge is moving the data out of your database to do perform open source R models. In addition, customers want to perform analysis using R models on the latest data which you can do quickly by combining R with SQL Server in-memory technology. With 2016 you can perform R models directly in the database. In addition, customer want to run their R models on the latest data and you can do this quickly with SQL Server 2016 by combining the power of open source R with SQL Server in-memory technology for incredibly fast reads and writes. <click>
In-memory across workloads
In addition to these top 5 reasons, our optimized in-memory technology is fueling performance across all workloads from our in-memory OLTP that provides up to 30x transactional performance to our in-memory columnstore that give over 100x faster queries for data warehouse and BI workloads. Now with SQL Server 2016, you also have the ability to combine in-memory technologies to give you super-fast reads on top of super-fast writes to enable real-time operational analytics.<click>
Consistent Experience from on-premises to cloud
In addition to in-memory across all of these workloads, we can also deliver these capabilities with a consistent experience both on-premises and cloud with common development and management tools and common T-SQL. Our goal is to provide you a great experience with data no matter where you choose to implement it! <click to next slide>
With SQL Server 2016 Service Pack 1, innovative features are now available across editions, so companies can scale across editions with a consistent programming surface area.
With SQL Server v.Next, now in public preview, and generally available to purchase targeting mid-calendar year 2017, the power of SQL Server is available on the platform of your choice.
1 min
Follow the readme.txt in demo1_sqllinux
It’s not just the same license, we’re also retaining the same editions (Enterprise, Standard, Developer) – same as
Goal: is app compat with SQL on Win. We’re in public preview now, and most of the features planned for Linux GA are gonna show up in public preview. Example: AD auth is not there yet, will show up soon.
Look at the release notes for details
Main things not available in preview yet (but will be there before GA): Avail. Groups, AD Authn, Full-text search
Let’s look at another aspect of SQL Server that is also critically important for enterprises – security. Our goal is for SQL Server on Linux to support the same enterprise-grade security capabilities that customers rely on with SQL Server on Windows today.
[click]
We think about security for SQL Server in terms of layers. At the center, you have your data and how you protect the data itself, typically using encryption. SQL Server supports a variety of encryption features to help protect your data against different types of threats.
Transparent Data Encryption (TDE) encrypts your whole database at rest, without requiring any application changes. Backup Encryption encrypts your backup files, and Cell-Level Encryption gives you granular control over the encryption of individual cells of data.
To encrypt data in transit to and from the database, SQL Server supports the industry-standard TLS 1.2 protocol.
And finally, Always Encrypted enables you to encrypt sensitive data client-side, so that even privileged SQL Server administrators are unable to see it in plaintext.
[click]
The next layer is about controlling access to the data.
SQL Authentication allows users to authenticate via a username and password, while Active Directory Authentication allows users to authenticate using single sign-on through Active Directory and Kerberos. Granular permissions enable you to control access to individual tables or even columns of data.
Row-Level Security allows you to control read- and write-access to individual rows of data based on a customizable policy, and Dynamic Data Masking allows you to easily mask fields (such as account numbers) so that only part of the data can be seen.
[click]
The last layer is about monitoring who accesses the data.
SQL Server’s Fine-Grained Audit feature allows you to enforce a data audit policy and track which users are doing which actions.
[click]
So that’s where we’re going with security for SQL Server on Linux. Almost all of these features are already available for you to try in the CTP1 preview release, please try them out and share your feedback with us. Support for TLS is in progress and will become available in an upcoming build. Similarly, Active Directory Authentication is one of our most requested features and will become available in an upcoming build.
Add diagram from Travis
Follow the readme.txt in demo2_sqldocker
Blog post: Slava/Scott
https://blogs.technet.microsoft.com/dataplatforminsider/2016/12/16/sql-server-on-linux-how-introduction/
Only RDBMS is working
It’s not an emulator. It’s done the right way (PAL) – single code base, full performance, runs natively on both platforms
Analogy – Package shipping. Ship everything in the same big box, at same large expense.
Now, learn over time what size box the query needs and create a box that exactly fits.
This will be more cost effective and create better throughput.
This improvement will cache the actual memory required for a query, such that when an identical query statement is seen, we will be able to use a much more accurate memory grant size, avoiding excessive memory grants that reduce concurrency and avoiding under-estimated memory grants that cause expensive spills to disk.
TODO: Possible cut slide
Graphs are well suited for applications where relationships are important, such as fraud detection, risk management, social networks, recommendation engines, predictive analysis, dependence analysis, IoT suites, etc.
What makes a graph database unique?
A single edge type can connect to multiple node types.
Complex pattern matching queries can be expressed easily.
Transitive closure queries: find friends of my friends of my friends …
Polymorphic queries: find all nodes of any type connected to …
Graph analytics: shortest path, page rank, …
Follow the instructions in readme.txt in demo3_sqlvnext
In March 2016, we announced our intention to bring SQL Server to Linux, starting with a private preview effective immediately. In November, we launched our SQL Server v.Next public preview for both Windows and Linux. In the coming year, we will have updated previews approximately every month. Finally, targeting calendar year 2017, SQL Server will be generally available to purchase on Windows and Linux.
Get rid of icons, go with simple 3 box format
When developing a new application on Linux, start your journey by developing locally on Linux, Windows, or macOS (via Docker). Then, deploy today on Windows via SQL Server 2016 or Linux with the public preview, and the adoption of engineering support for production with the SQL Server Adoption Program. Then, when SQL Server v.Next is available targeting mid-calendar year 2017, either do a simple backup and restore from SQL 2016 on Windows to SQL Server v.Next, or easily upgrade from the SQL Server on Linux public preview to the SQL Server v.Next GA.
SQL Server leads the industry on security, performance, and price. And we want to prove to you that there is no equal. Move your Oracle databases to SQL Server and receive the necessary licenses of SQL Server—free with software assurance. Take advantage of this offer and get the one data solution that has everything you need built in.
https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-migrate-ssma
When you migrate, take advantage of our SQL Server Migration Assistant tool, and leverage our vast global partner ecosystem.
Get started today with the SQL Server v.Next public preview by going to www.sqlserveronlinux.com, where you’ll find instructions for Red Hat Enterprise Linux, Ubuntu Linux, SQL Server on Linux-based Azure Virtual Machines, and Docker. Coming soon, the preview will include SUSE Linux as well.
SQL EAP (pronounced “SQL Leap”) is a Microsoft program to help customers and partners adopt the next version of SQL Server.