The slide deck that Rachel and I had used to present on an overview of the managed PostgreSQL and MySQL service on Azure at SQL Saturday Redmond, 2018. This is part of the Azure Database family.
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.
PASS VC: SQL Server Performance Monitoring and BaseliningPARIKSHIT SAVJANI
When managing large scale deployment of SQL Server instances, it is important for DBAs to setup proactive monitoring & establishing performance baselines which helps in performance tuning, capacity planning & identifying workload patterns. Attend this session to learn what data should a DBAs collect & how, to monitor & establish performance baseline in SQL Server.
Azure Cosmos DB: Features, Practical Use and Optimization "GlobalLogic Ukraine
This presentation is dedicated to Azure Cosmos DB, it's history, characteristics, tasks and solutions. The presentation deals with performance optimization, practical experience of usage and an overview of the news about Cosmos DB from Microsoft Build 2017 conference (https://build.microsoft.com).
This presentation by Andriy Gorda (Engineering Manager & Lead Software Engineer, Consultant, GlobalLogic Kharkiv) was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.
Azure SQL Database Introduction by Tim RadneyHasan Savran
Have you been hearing about Azure Managed Instances and want to know what all the fuss is about? Come see how Managed Instances is changing how we think about cloud databases. Managed Instances can be considered a hybrid of Azure SQL Database and on-premises SQL Server with all the awesome benefits of Platform as a Service. You’ll get to see first-hand how easy it is to migrate databases from on-premises to a Managed Instance. We’ll explore the differences between Azure SQL Database, Managed Instances, and SQL Server on an Azure VM to help you determine what is the best fit for your organization. If you’ve been considering Azure for your organization, this session is for you!
This document provides an overview and summary of new security features in SQL Server 2016, including Always Encrypted for encrypting sensitive data at the column level, Dynamic Data Masking for masking sensitive data rather than encrypting it, and Row Level Security for fine-grained access control at the row level. Always Encrypted allows queries on encrypted data and provides application transparency. Dynamic Data Masking masks sensitive data on the result set without requiring application changes. Row Level Security uses security predicates and policies to centrally define and apply row-level access control logic within the database.
SQL Server Database as a Cloud ServicePio Balistoy
Cloud is the new normal and Platform as a service is the future. In this session we aim to understand SQL Database as a service, What it is, its key benefits and uses. We will also explore and compare the two leading providers of the service Azure SQL Server Database and Amazon Web Services - Relational Database Service; to understand their respective strengths.
This presentation is dedicated to Microsoft Azure. It contains an overview of the main trends in the development of Microsoft Azure, and the solutions that Microsoft offers with this product. There are also insights on its further development, and an impact it is going to bring to the market.
This presentation by Andriy Gnennyy (Senior Consultant, GlobalLogic Kharkiv) was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.
Discovery Day 2019 Sofia - Big data clustersIvan Donev
This document provides an overview of the architecture and components of SQL Server 2019 Big Data Clusters. It describes the key Kubernetes concepts used in Big Data Clusters like pods, services, and nodes. It then explains the different planes (control, compute, data) and nodes that make up a Big Data Cluster and their roles. Components in each plane like the SQL master instance, compute pools, storage pools, and data pools are also outlined.
Azure SQL Database for the SQL Server DBA - Azure Bootcamp Athens 2018 Antonios Chatzipavlis
Azure SQL Database is a managed database service hosted in Microsoft's Azure cloud. Some key differences from SQL Server include: the service is paid by the hour based on the selected service tier; users can dynamically scale resources up or down; backups and high availability are managed by the service provider; and common administration tasks are handled by the provider rather than the user. The service offers automatic backups, point-in-time restore, and geo-restore capabilities along with built-in high availability through replication across three copies in the primary region.
Discovery Day 2019 Sofia - What is new in SQL Server 2019Ivan Donev
This document summarizes new features in SQL Server 2019 including:
- Support for big data analytics using SQL Server, Spark, and data lakes for high volume data storage and access.
- Enhanced data virtualization capabilities to combine data from multiple sources.
- An integrated AI platform to ingest, prepare, train, store, and operationalize machine learning models.
- Improved security, performance, and high availability features like Always Encrypted with secure enclaves and accelerated database recovery.
- Continued improvements based on community feedback.
The document describes several SQL server monitoring and management tools from Docco Labs, including ClipTable for data import, Database File Explorer for file usage monitoring, Log Table Viewer for logging, and SQL Stripes for server monitoring and control. SQL Stripes is a T-SQL based solution that monitors metrics like CPU, disk usage, locks, and pings and notifies users of issues by email, web, audio or visual alerts. It aims to fill the gap between generic monitoring tools and agent-specific alerts.
PaaSport to Paradise: Lifting & Shifting with Azure SQL Database/Managed Inst...Sandy Winarko
This session focuses on the all PaaS solution of Azure SQL DB/Managed Instance (MI) + SSIS in Azure Data Factory (ADF) to lift & shift, modernize, and extend ETL workflows. We will first show you how to provision Azure-SSIS Integration Runtime (IR) – dedicated ADF servers for running SSIS – with SSIS catalog (SSISDB) hosted by Azure SQL DB/MI, configure it to access data on premises using Windows authentication and Virtual Network injection/Self-Hosted IR as a proxy, and extend it with custom/Open Source/3rd party components. We will next show you how to use the familiar SSDT/SSMS tools to design/test/deploy/execute your SSIS packages in the cloud just like you do on premises. We will finally show you how to modernize your ETL workflows by invoking/scheduling SSIS package executions as first-class activities in ADF pipelines and combining/chaining them with other activities, allowing you to trigger your pipeline runs by events, automatically (de)provision SSIS IR just in time, etc.
Tarabica 2019 (Belgrade, Serbia) - SQL Server performance troubleshootingJovan Popovic
Finding and fixing performance issues in SQL Server and the Azure SQL database requires understanding how database engine works and what can affect performance. People sometime make changes without finding the exact cause of the problem, which causes additional issues in the future. In this presentation, we will see some techniques you can apply to identify problems and solutions using Query Store technology, DMVs, SQL plan analysis, etc.
https://www.tarabica.org/Session/Details/78
Better Search and Business Analytics at Southern Glazer’s Wine & SpiritsElasticsearch
See how Southern Glazer’s Wine & Spirits architected their system to deliver a better search and ordering experience, plus how they centrally manage all Elasticsearch deployments on Elastic Cloud Enterprise.
Bi and AI updates in the Microsoft Data Platform stackIvan Donev
This document provides an overview and agenda for a presentation on new features in the Microsoft data platform universe including SQL Server, Azure, and Power BI, with a focus on business intelligence (BI) and artificial intelligence (AI).
The presentation covers new features in SQL Server 2019 for BI like calculation groups and dynamic formatting in Analysis Services tabular mode. It also highlights important updates in Azure including new serverless and hyperscale options for Azure SQL Database, updates to data ingestion and storage with Azure Data Factory v2 and Azure Data Lake Gen 2, and changes to data modeling, preparation, and serving capabilities in Azure SQL Data Warehouse.
The document concludes by discussing options for incorporating AI and machine learning into BI solutions using either
Brk3043 azure sql db intelligent cloud database for app developers - wash dcBob Ward
Make building and maintaining applications easier and more productive. With built-in intelligence that learns app patterns and adapts to maximize performance, reliability, and data protection, SQL Database is a cloud database built for developers. The session covers our most advanced features to-date including Threat Detection, auto-tuned performance and actionable recommendations across performance and security aspects. Case studies and live demos help you understand how choosing SQL Database will make a difference for your app and your company.
A Quick Guide to Sql Server Availability GroupsPio Balistoy
This document provides an overview of SQL Server availability groups. It defines availability groups as a high-availability and disaster recovery feature that allows failover between replicas of a group of databases. Key components include the primary replica that serves read-write transactions, secondary replicas that serve as failover targets, and an availability group listener that direct clients to the current primary replica. The document discusses advantages over previous solutions like database mirroring, as well as some compatibility limitations and administrative considerations.
This document provides an introduction to Azure SQL Database. It describes Azure SQL Database as a fully managed relational database service. It notes that Azure SQL Database differs from SQL Server in some ways, such as not supporting certain T-SQL constructs and commands. The document also discusses server provisioning, database deployment, monitoring, and new service tiers for Azure SQL Database that offer different levels of scalability, performance, and business continuity features.
Build modern and intelligent applications using Azure Database for PostgreSQLMicrosoft Tech Community
This document summarizes the key features and benefits of Azure Database for PostgreSQL:
1) It offers more choices and full integration with Azure services through automatic updates, security fixes, and access to innovations in AI and analytics.
2) The database can elastically scale performance to meet spikes in demand and scale compute and storage independently with high availability and disaster recovery with a single click.
3) It provides secure and compliant hosting of data with certifications and compliance across key standards and regulations.
Azure SQL Database now has a Managed Instance, for near 100% compatibility for lifting-and-shifting applications running on Microsoft SQL Server to Azure. Contact me for more information.
Azure SQL Database & Azure SQL Data WarehouseMohamed Tawfik
This document provides an overview of Microsoft Azure Data Services and Azure SQL Database. It discusses Infrastructure as a Service (IaaS) versus Platform as a Service (PaaS), and highlights the opportunities in the Linux database market. It also discusses Microsoft's commitment to customer choice and partnerships with companies like Red Hat. The remainder of the document focuses on features of Azure SQL Database, including an overview of the DTU and vCore purchasing models, managed instances, backup and recovery, high availability options, elastic scalability, and data sync capabilities.
The document summarizes database servers and tools from EnterpriseDB. It describes EDB Postgres Advanced Server as offering security features like password policies and SQL injection protection as well as performance and productivity features. It then summarizes tools like Postgres Enterprise Manager for monitoring databases, the Backup and Recovery tool for backups, Failover Manager for high availability, and Replication Server for replication. The Migration Portal is described as helping to convert Oracle schemas and the Migration Toolkit helps migrate data between different database platforms.
Azure SQL Database (SQL DB) is a database-as-a-service (DBaaS) that provides nearly full T-SQL compatibility so you can gain tons of benefits for new databases or by moving your existing databases to the cloud. Those benefits include provisioning in minutes, built-in high availability and disaster recovery, predictable performance levels, instant scaling, and reduced overhead. And gone will be the days of getting a call at 3am because of a hardware failure. If you want to make your life easier, this is the presentation for you.
Discover Neo4j Aura_ The Future of Graph Database-as-a-Service Workshop_3.13.24Neo4j
Join us for an exclusive workshop exploring the transformative benefits of Neo4j Aura, a cloud-native Database-as-a-Service (DBaaS). Neo4j Aura is revolutionizing data management and analysis, empowering organizations to unlock deeper insights, streamline operations, drive innovation, and return completeness of answers like never before.
Secure your spot for this comprehensive workshop as we dive into the revolutionary world of Neo4j's Aura that is transforming how organizations harness the potential of their interconnected data.
This workshop will:
Discuss the advantages and benefits of using a graph database-as-a-service, like the ease of deployment and enterprise-grade security and compliance measures
Highlight AuraDS - a managed service for running data science algorithms and workloads for Neo4j
Uncover the importance of grounding LLMs with knowledge graphs
Share integration and migration tips when transitioning or adding Aura Enterprise
Don't miss this opportunity to discover how Neo4j Aura can transform your approach to data relationships and unlock the true power of interconnected data!
Azure SQL Database Managed Instance is a new flavor of Azure SQL Database that is a game changer. It offers near-complete SQL Server compatibility and network isolation to easily lift and shift databases to Azure (you can literally backup an on-premise database and restore it into a Azure SQL Database Managed Instance). Think of it as an enhancement to Azure SQL Database that is built on the same PaaS infrastructure and maintains all it's features (i.e. active geo-replication, high availability, automatic backups, database advisor, threat detection, intelligent insights, vulnerability assessment, etc) but adds support for databases up to 35TB, VNET, SQL Agent, cross-database querying, replication, etc. So, you can migrate your databases from on-prem to Azure with very little migration effort which is a big improvement from the current Singleton or Elastic Pool flavors which can require substantial changes.
Microsoft® SQL Server® 2012 is a cloud-ready information platform that will help organizations unlock breakthrough insights across the organization and quickly build solutions to extend data across on-premises and public cloud, backed by mission critical confidence.
Postgres for Digital Transformation:NoSQL Features, Replication, FDW & MoreAshnikbiz
This document discusses how PostgreSQL can enable digital transformation. It notes that digital transformation involves developing new types of products/services rather than just enhancing existing systems, moving to microservices architectures, and adopting data platforms. It then outlines how PostgreSQL supports these changes through its document store capabilities, foreign data wrappers for integration with other data sources, replication server for high availability, and containerized deployment options. Case studies are presented showing how enterprises have realized performance improvements, cost savings, and near real-time data exchange using PostgreSQL's unified relational and non-relational features.
Deploy, move and manage Postgres across cloud platformsAshnikbiz
Running applications in a hybrid set-up creates complexities that can increase downtime and maintenance. PostgreSQL runs across virtual, cloud, and container environments; minimizing complexity without sacrificing the performance, so you can take control. Being today’s undisputed leader of relational databases for new and modern applications, Postgres’ tools and features will enable you to swiftly deploy, move and manage your database across platforms.
Azure SQL Database is a relational database-as-a-service hosted in the Azure cloud that reduces costs by eliminating the need to manage virtual machines, operating systems, or database software. It provides automatic backups, high availability through geo-replication, and the ability to scale performance by changing service tiers. Azure Cosmos DB is a globally distributed, multi-model database that supports automatic indexing, multiple data models via different APIs, and configurable consistency levels with strong performance guarantees. Azure Redis Cache uses the open-source Redis data structure store with managed caching instances in Azure for improved application performance.
Azure Database Services for MySQL PostgreSQL and MariaDBNicholas Vossburg
This document summarizes the Azure Database platform for relational databases. It discusses the different service tiers for databases including Basic, General Purpose, and Memory Optimized. It covers security features, high availability, scaling capabilities, backups and monitoring. Methods for migrating databases to Azure like native commands, migration wizards, and replication are also summarized. Best practices for achieving performance are outlined related to network latency, storage, and CPU.
Azure provides cloud computing services including computing, analytics, networking, storage, and more. It offers virtual machines, databases, websites, and other services that can be accessed from anywhere and scaled up as needed. Azure aims to provide enterprise-grade services that are economical, scalable, and hybrid-ready to work with existing on-premises systems. It has data centers across the world and over 600,000 servers to provide its services globally at scale.
by Ben Willett, Solutions Architect, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
Girish Juneja - Intel Big Data & Cloud Summit 2013IntelAPAC
This document discusses big data trends such as the growth of networked sensors, connected devices, and smartphone users. It then summarizes Intel's investments in big data technologies, including their software, processors, networking, storage and memory products. The document promotes Intel's Distribution for Apache Hadoop software and how it provides security, performance optimizations and support for workloads like data mining, graph analytics and full text search. Real-world customer examples are provided that demonstrate gains in performance, cost savings and new analytics capabilities.
.NET Usergroup Oldenburg 26. März 2015 - von Winfried Klinker und Andre Hühn
Microsoft Azure gehört zu den Cloud-Diensten, die Microsoft anbietet. Es umfasst neben dem Hosting von virtuellen Maschinen insbesondere eine große Sammlung an Diensten (wie SQL Azure, Mobile Services, Machine Learning).
Wir geben einen ersten Überblick über die Features von Azure insbesondere für Entwickler. Dabei werden wir sowohl auf die Platform as a Service (PaaS) Angebote wie auch auf die Infrastructe as a Service (IaaS) eingehen. Außerdem geben wir einen Einblick in moderne Cloud Architektur und zeigen Best Practices bei der Cloud Entwicklung auf. Dabei werden Beispiele aus der Praxis zeigen, wie man eine Fehlertolerante und robuste Cloud Lösung erstellen kann.
Über die Sprecher:
Winfried Klinker ist als Software Architekt bei der Firma Sitrion in Oldenburg tätig. Er beschäftigt sich größtenteils mit Cloud Architekturen mit Microsoft Azure vor allem in Bezug auf Backends für mobile Anwendungen.
Andre Hühn ist Team Lead für Entwicklung mobiler Apps bei der Firma Sitrion in Oldenburg und beeinflusst damit die Richtung der Architektur für das Sitrion ONE Produkt.
This document discusses a webinar about using Sumo Logic and AWS services for big data analytics and compliance. The webinar covers an introduction to AWS Cloud, an overview of Sumo Logic and its advantages, and a customer case study of how InsideView uses Sumo Logic and AWS CloudTrail logs to gain visibility across hybrid infrastructure and demonstrate compliance. Sumo Logic provides log analysis of data from both on-premises and cloud sources to help customers meet security, operations, and business needs.
This document provides an agenda for a Post-Ignite Update event happening in November 2019. The agenda includes sessions on new features of Azure Arc, Azure Synapse Analytics, Cognitive Services, Power Platform, Dynamics 365, Microsoft 365, and security updates from Ignite. There will be presentations from Microsoft partners and teams on these topics, as well as a Q&A session at the end.
Similar to Azure database services for PostgreSQL and MySQL (20)
SQL PASS 2017 - Building one million predictions per second using SQL Server ...Amit Banerjee
Using the power of OLTP and data transformation in SQL 2016 and advanced analytics in Microsoft R Server, various industries that really push the boundary of processing higher number of transaction per second (tps) for different use cases. In this talk, we will walk through the use case of predicting loan charge off (loan default) rate, architecture configuration that enable this use case, and rich visual dashboard that allow customer to do what-if analysis. Attend this session to find out how SQL + R allows you to build an “intelligent data warehouse”.
This is a talk which builds on my previous talk on how SQL Server 2016 helps build an intelligent data warehouse.
Building 1 million predictions per second using SQL-RAmit Banerjee
Using the power of OLTP and data transformation in SQL 2016 and advanced analytics in Microsoft R Server, various industries really push the boundary of processing higher number of transaction per second (tps) for different use cases. In this talk, we walked through the use case of predicting loan charge off (loan default) rate, architecture configuration that enable this use case, and rich visual dashboard that allow customer to do what-if analysis. Find out how SQL + R allows you to build an “intelligent datawarehouse”.
Troubleshooting common scenarios with Always On - A Dress RehearsalAmit Banerjee
Two of the most common issues that Microsoft Support is contacted related to Always On Availability Groups are associated with Latency and Failovers. During this session, we will demonstrate walkthroughs for latency analysis and failover root cause using enhancements in SQL Server and Management Studio. After this session, you will be able to troubleshoot such issues easily, quickly and efficiently.
Enhancements to High Availability, Disaster Recovery and ReplicationAmit Banerjee
SQL Server 2012 Service Pack 3, SQL Server 2014 Service Pack 2 and SQL Server 2016 bring about a number of enhancements to Always On Availability Groups and Replication. Join us to understand the enhancements available which will make your SQL Server instances work better if you have a dependency on Always On or Replication. We have enhancements for various scenarios like diagnostics, replicating between an on-premise SQL Server instance and AzureDB and troubleshooting common issues.
Recent changes to security compliance is driving the initiative in various IT environments to disable all security protocols apart from TLS 1.2. This has wide ranging impact on SQL Server installations from startup failures to connectivity issues. In this session, we will talk about the changes available in SQL Server 2008 and above to support TLS 1.2 and the changes required on the server and SQL Server configuration to support TLS 1.2.
All the script samples are available on GitHub at https://github.com/Microsoft/tigertoolbox/tree/master/tls1.2
Amit Banerjee has worked as a Senior Program Manager for SQL Server for nearly a decade, focusing on high availability and replication. He was previously part of the SQL Escalation Services and Premier Field Engineering teams at Microsoft and speaks regularly at SQL conferences. In addition to his work on supportability tools for SQL Server, he co-authored the book "Professional SQL Server 2012: Internals and Troubleshooting" and runs the blog TroubleshootingSQL.com.
Always On Availability Group Troubleshooting Ninja Amit Banerjee
SQL BITS Presentation
Session Objectives:
1.Troubleshoot failovers in your Availability Group easily
2.Determine the reason for connectivity loss and timeouts
3.Understand which part of your topology is the reason for latency
Debugging made easier with extended eventsAmit Banerjee
SQL BITS presentation
Session Objectives:
1.Understand the diagnostics enhancements available in SQL Server database engine in SQL Server 2012 Service Pack 3 and above
2.Leverage the diagnostics to troubleshoot and mitigate issues quickly in mission-critical environments
3.Simplify troubleshooting experience for common SQL Server scenarios
In this PASS VC PowerShell session, I had discussed about some best practice checks which can be automated for SQL Server instances running on your on-premise data centers and on Azure Virtual Machines.
All the scripts are available on https://github.com/amitmsft/SqlOnAzureVM
SQL Saturday 511 - Troubleshooting made easier using extended eventsAmit Banerjee
Extended Events in SQL Server provides a huge opportunity to debug and analyze complex problems with ease. I had presented this session at SQL Saturday 511 - Redmond to show the diagnostics enhancements available in SQL Server database engine in SQL Server 2012 Service Pack 3 and above. You will be able to leverage the diagnostics to troubleshoot and mitigate issues quickly in mission-critical environments and simplify troubleshooting experience for common SQL Server scenarios
This document summarizes a presentation about troubleshooting slow queries using Query Store, Live Query Statistics, and Plan Comparison. The presenter is Amit Banerjee, a Senior Program Manager on the Microsoft SQL Server team focusing on HADR and Replication. The presentation covers how Query Store can help find and fix plan regressions and identify top resource consumers. It also demonstrates Live Query Statistics and Plan Comparison tools.
Performance Demystified for SQL Server on Azure Virtual MachinesAmit Banerjee
The slide deck for the session at TechEd which gives an overview of how to harness the power of Microsoft Azure Virtual Machines for SQL Server database. A few tips and tricks is all it requires to keep a SQL Server database healthy on an Azure Virtual Machine. What’s more, we will even slip in few tricks to automate the entire deployment with the performance best practices enabled.
Backup enhancements with SQL Server 2014Amit Banerjee
The presentation that I had used at the SQL Bangalore UG meeting for introducing new enhancements in SQL Server 2014 for Backup and Restore. I talked about three new concepts: Backup to URL, Encrypted Backups and Managed Backups
Troubleshooting SQL Server using Power Pivot and Power ViewAmit Banerjee
The presentation used at SQLBangalore User Group's Annual Day event at Bangalore to present on the topic "Troubleshooting SQL Server using PowerPivot and PowerView". This session talked about leveraging Power View and Power Pivot for monitoring SQL Server related issues.
The presentation used during my session at the SQL Bangalore UG Meeting on 24th August, 2013. The session talked about creating visualizations for monitoring the SQL Server instance using Power Pivot and Power View features in Excel 2013.
The document summarizes a system health session presented by Amit Banerjee. It introduces Amit as a senior engineer at Microsoft with expertise in databases. It then describes what system health sessions are, how they can help reduce analysis time and build visualizations from existing data. The rest of the document details what specific types of events and errors the system health session tracks to monitor instance health. It concludes by providing resources for learning more about system health sessions.
Microsoft TechEd India 2012 Backup RestoreAmit Banerjee
This was the slide deck that I had used for my presentation on the topic “Lesser Known facts of SQL Server Backup and Restore” at Microsoft India TechEd 2012.
"Hands-on development experience using wasm Blazor", Furdak Vladyslav.pptxFwdays
I will share my personal experience of full-time development on wasm Blazor
What difficulties our team faced: life hacks with Blazor app routing, whether it is necessary to write JavaScript, which technology stack and architectural patterns we chose
What conclusions we made and what mistakes we committed
Retrieval Augmented Generation Evaluation with RagasZilliz
Retrieval Augmented Generation (RAG) enhances chatbots by incorporating custom data in the prompt. Using large language models (LLMs) as judge has gained prominence in modern RAG systems. This talk will demo Ragas, an open-source automation tool for RAG evaluations. Christy will talk about and demo evaluating a RAG pipeline using Milvus and RAG metrics like context F1-score and answer correctness.
Keynote : Presentation on SASE TechnologyPriyanka Aash
Secure Access Service Edge (SASE) solutions are revolutionizing enterprise networks by integrating SD-WAN with comprehensive security services. Traditionally, enterprises managed multiple point solutions for network and security needs, leading to complexity and resource-intensive operations. SASE, as defined by Gartner, consolidates these functions into a unified cloud-based service, offering SD-WAN capabilities alongside advanced security features like secure web gateways, CASB, and remote browser isolation. This convergence not only simplifies management but also enhances security posture and application performance across global networks and cloud environments. Discover how adopting SASE can streamline operations and fortify your enterprise's digital transformation strategy.
Finetuning GenAI For Hacking and DefendingPriyanka Aash
Generative AI, particularly through the lens of large language models (LLMs), represents a transformative leap in artificial intelligence. With advancements that have fundamentally altered our approach to AI, understanding and leveraging these technologies is crucial for innovators and practitioners alike. This comprehensive exploration delves into the intricacies of GenAI, from its foundational principles and historical evolution to its practical applications in security and beyond.
Cracking AI Black Box - Strategies for Customer-centric Enterprise ExcellenceQuentin Reul
The democratization of Generative AI is ushering in a new era of innovation for enterprises. Discover how you can harness this powerful technology to deliver unparalleled customer value and securing a formidable competitive advantage in today's competitive market. In this session, you will learn how to:
- Identify high-impact customer needs with precision
- Harness the power of large language models to address specific customer needs effectively
- Implement AI responsibly to build trust and foster strong customer relationships
Whether you're at the early stages of your AI journey or looking to optimize existing initiatives, this session will provide you with actionable insights and strategies needed to leverage AI as a powerful catalyst for customer-driven enterprise success.
The Zaitechno Handheld Raman Spectrometer is a powerful and portable tool for rapid, non-destructive chemical analysis. It utilizes Raman spectroscopy, a technique that analyzes the vibrational fingerprint of molecules to identify their chemical composition. This handheld instrument allows for on-site analysis of materials, making it ideal for a variety of applications, including:
Material identification: Identify unknown materials, minerals, and contaminants.
Quality control: Ensure the quality and consistency of raw materials and finished products.
Pharmaceutical analysis: Verify the identity and purity of pharmaceutical compounds.
Food safety testing: Detect contaminants and adulterants in food products.
Field analysis: Analyze materials in the field, such as during environmental monitoring or forensic investigations.
The Zaitechno Handheld Raman Spectrometer is easy to use and features a user-friendly interface. It is compact and lightweight, making it ideal for field applications. With its rapid analysis capabilities, the Zaitechno Handheld Raman Spectrometer can help you improve efficiency and productivity in your research or quality control workflows.
DefCamp_2016_Chemerkin_Yury-publish.pdf - Presentation by Yury Chemerkin at DefCamp 2016 discussing mobile app vulnerabilities, data protection issues, and analysis of security levels across different types of mobile applications.
UiPath Community Day Amsterdam: Code, Collaborate, ConnectUiPathCommunity
Welcome to our third live UiPath Community Day Amsterdam! Come join us for a half-day of networking and UiPath Platform deep-dives, for devs and non-devs alike, in the middle of summer ☀.
📕 Agenda:
12:30 Welcome Coffee/Light Lunch ☕
13:00 Event opening speech
Ebert Knol, Managing Partner, Tacstone Technology
Jonathan Smith, UiPath MVP, RPA Lead, Ciphix
Cristina Vidu, Senior Marketing Manager, UiPath Community EMEA
Dion Mes, Principal Sales Engineer, UiPath
13:15 ASML: RPA as Tactical Automation
Tactical robotic process automation for solving short-term challenges, while establishing standard and re-usable interfaces that fit IT's long-term goals and objectives.
Yannic Suurmeijer, System Architect, ASML
13:30 PostNL: an insight into RPA at PostNL
Showcasing the solutions our automations have provided, the challenges we’ve faced, and the best practices we’ve developed to support our logistics operations.
Leonard Renne, RPA Developer, PostNL
13:45 Break (30')
14:15 Breakout Sessions: Round 1
Modern Document Understanding in the cloud platform: AI-driven UiPath Document Understanding
Mike Bos, Senior Automation Developer, Tacstone Technology
Process Orchestration: scale up and have your Robots work in harmony
Jon Smith, UiPath MVP, RPA Lead, Ciphix
UiPath Integration Service: connect applications, leverage prebuilt connectors, and set up customer connectors
Johans Brink, CTO, MvR digital workforce
15:00 Breakout Sessions: Round 2
Automation, and GenAI: practical use cases for value generation
Thomas Janssen, UiPath MVP, Senior Automation Developer, Automation Heroes
Human in the Loop/Action Center
Dion Mes, Principal Sales Engineer @UiPath
Improving development with coded workflows
Idris Janszen, Technical Consultant, Ilionx
15:45 End remarks
16:00 Community fun games, sharing knowledge, drinks, and bites 🍻
Increase Quality with User Access Policies - July 2024Peter Caitens
⭐️ Increase Quality with User Access Policies ⭐️, presented by Peter Caitens and Adam Best of Salesforce. View the slides from this session to hear all about “User Access Policies” and how they can help you onboard users faster with greater quality.
4. Provision in minutes with built-in high availability
Scale on the fly with virtually no application
downtime
Security out-of-the-box to protect data at rest
and in-motion
Automatic backups with storage management
for recovery to any point up to 35 days
Continue to use same tools, drivers and libraries
Choices that enable you to focus on your app
5. Automatic patching
Metrics with historical data for 30 days
Alerting on metrics
Access to server logs for 7 days
Customize database engine parameters
With simple and inclusive pay-as-you-go pricing
6. // // Flexible
PowerBI,AppServices,DataFactory,
Analytics,ML,Cognitive,Bot…
Global Azure with 38 Regions
Azure Compute
SQL Data
Warehouse
Azure Storage
SQL Database MySQLPREVIEW PostgreSQLPREVIEW
Flexible: On-demand scaling, Resource governance
Trusted: HA/DR, Backup/Restore, Security, Audit, Isolation
Intelligent: Advisors, Tuning, Monitoring
Database
Services
Platform
7. Azure
Azure Database for MySQL and
PostgreSQL
• Logical, not bound to server instance
• Connection endpoint for MySQL or
PostgreSQL server.
• Can create one to many user databases.
• Pinned to a region
• Policy scope, e.g. firewall rules, recovery,
monitoring and management.
8. Protect data
• Built-in encryption for data
and backups with AES 256 bit.
Security built in
Access Control
• Secure SSL connectivity
• Server firewall rules
Identity
• Native authentication
10. Pricing tiers and performance
Workloads with light
compute needs and
variable IO perf
Ideal for most business
workloads; offers range of
scalable compute
Recommended for apps
requiring scalable compute
and low latency IOPS
PostgreSQL 9.5, 9.6; MySQL 5.6, 5.7
Portal, Azure CLI and REST APIs
Programming
Surface
Manageability
12. Protection from accidental data deletion or alteration
Automatic backups
Full server backup
Backups and logs retained for 35 days (Basic
7 days)
Restore to any point in time within
retention period
Always creates a new server
Restore from backup
Azure Storage
SQL Database backups
sabcp01bl21
Azure Storage
PostgreSQL/MySQL
server backups
13. • Integrated with Azure Monitor
service
• One-minute frequency
• Free 30 days of historical
metrics
14. • Integrated with Azure Monitor
service
• One-minute frequency
• Free 30 days of historical
metrics
• Take actions on metrics by
configuring alerting rules
• Consume or query metrics via
Portal, REST APIs or Azure CLIs
20. Azure Database for PostgreSQL Azure Database for MySQL
Azure Database for PostgreSQL Azure Database for MySQL
MSDN StackOverflow MSDN StackOverflow
User Voice
User Voice
https://github.com/Azure/azure-postgresql
Azure managed database services has re-defined the managed service for app developers taking most of the complex considerations out and having developers focus on what they do best – create rich and intelligent apps.
Let me take some time to go through this at a little more depth. The Azure RDMS platform is intelligent, secure and flexible. Built on top of the scalable Azure compute, storage fabric, and the Azure cloud that is available in most regions than any other clouds, this platform has been serving SQLDB and SQLDW services for many years with several key innovations. It is this fabric, that delivers capabilities such as built-in HA, backup/restore services, full isolation for each databases with resource governance, monitoring and performance tuning and advisors features. Now this same platform is extended to bring two additional database managed services i.e, MySQL and PostgreSQL. We are using the community version of MySQL and PostgreSQL database engines, bringing in more choices for app developers to choose their favorite database for app development. All these services are integrated with the other data services and app services to deliver seamless app development and deployment experience.
Managed cloud database built for application developers that need choice
Scale on-the-fly without application down time
Built-in HA and security that requires no additional setup or configuration
Use native tools, drivers and libraries
Any one that has used Azure is very familiar with these terminologies. You have an Azure account, a subscription and group related services for a project into a resource group. In Azure Database for PostgreSQL, the resource is a server – it is a logical service and the connection end point to your application. This logical server is pinned to a given region. You can create 1 to many databases within this logical server. The resources are all shared across databases within the same logical server. Further, all management operations is at this logical server level. For example, monitoring, backups and restore, security, etc.