Database Performance

This document provides information about Tableau, a data visualization software. It discusses Tableau's prerequisites, products, and architecture. Tableau allows users to easily connect to various data sources and transform data into interactive visualizations and dashboards. Key Tableau concepts covered include data sources, worksheets, dashboards, stories, filters, marks, color and size properties. The document also explains Tableau's desktop and server products, and the stages of importing data, analyzing it, and sharing results.

The document provides an overview of course content covering SAP Business Objects products including Web Intelligence, BI launch pad, Information Design Tool, Crystal Reports, Dashboards, and the Central Management Console. The course includes topics such as creating reports, queries, universes, visualizations, connecting to data sources, security settings, and more. It describes how to plan, design, and develop business intelligence applications and reports across the SAP Business Objects suite.

The document discusses the ADO Data Control which provides access to data in databases through OLE DB. It describes adding an ADO Data Control to a project, connecting it to a database by building a connection string, setting the RecordSource property to a table or SQL, and creating bound controls to display fields from the RecordSource.

The document provides an overview of storage and indexing in database systems. It discusses different file organizations like heap files, sorted files, and indexes. It describes two common index structures - B+ trees and hash indexes. It covers concepts like primary vs secondary indexes, clustered vs unclustered indexes, and dense vs sparse indexes. The document also provides examples of how to choose appropriate indexes for different types of queries and discusses design trade-offs around indexing.

One day Workshop on Project Development using Visual Basic 6.0 was handled by Dr. R. Muralidharan on 24-01-2015 (Saturday) at Sri Vasavi College (SFW) for the M.Com (CA) students.

Hi All.. I am sharing small presentation about database indexes. Hope it will useful for all of you... :)

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In-Memory features is the most perspective trend in the area of high performance. Columnstore Indexes is one of such features, and even with their restrictions, they can accelerate your queries at times! How to get more from this feature? In which situations should we use them? Which internal mechanisms help to achive that? You can get answers on these questions on this session.

The document discusses different types of indexes that can be used to organize data files on external storage. It compares file organizations like heap files, sorted files, and various indexing techniques including B-tree and hash indexes. It outlines the basic structure of indexes like B-trees, including leaf pages containing data entries and non-leaf pages containing index entries. The document also discusses concepts like clustered vs unclustered indexes, primary vs secondary indexes, and different alternatives for storing data entries in indexes.

MSBI online training offered by Quontra Solutions with special features having Extensive Training will be in both MSBI Online Training and Placement. We help you in resume preparation and conducting Mock Interviews. Emphasis is given on important topics that were required and mostly used in real time projects. Quontra Solutions is an Online Training Leader when it comes to high-end effective and efficient IT Training. We have always been and still are focusing on the key aspect which is providing utmost effective and competent training to both students and professionals who are eager to enrich their technical skills.

Microsoft SQL Server is a relational database management system that stores data in tabular format of columns and rows. It has four major components: the Database Engine for storing and retrieving data efficiently; Integration Services (SSIS) for extracting, transforming, and loading data from various sources into destinations; Analysis Services (SSAS) for creating multi-dimensional data structures and performing analysis and data mining; and Reporting Services (SSRS) for generating reports from different tables in various formats like PDF and maps. The SELECT statement is used to retrieve data and has clauses like FROM, WHERE, GROUP BY, HAVING, and ORDER BY. Proper use of filters and indexes in the WHERE clause is important for query performance.

The document discusses various file formats and folders used in data processing with Quantum software. It explains converting data from SPSS and Excel files to ASCII format for use in Quantum. It also describes the required folders for storing data, documents, tables and output files. Finally, it provides details on the programming files used in Quantum - SET, BATCH, and TAB files and how they are used to define the tables to generate and run the program to produce output files.

Mapping data flows allow for code-free data transformation at scale using an Apache Spark engine within Azure Data Factory. Key points: - Mapping data flows can handle structured and unstructured data using an intuitive visual interface without needing to know Spark, Scala, Python, etc. - The data flow designer builds a transformation script that is executed on a JIT Spark cluster within ADF. This allows for scaled-out, serverless data transformation. - Common uses of mapping data flows include ETL scenarios like slowly changing dimensions, analytics tasks like data profiling, cleansing, and aggregations.

SQL Server 2012 introduced columnstore indexes which provide significant performance improvements for data warehouse and analytics queries against large datasets. Columnstore indexes store data by column rather than by row, allowing queries to access only the relevant columns needed. This results in lower I/O and higher data compression compared to row storage. Columnstore indexes also use a new batch processing execution mode which can further improve query performance by processing many rows at once in memory rather than row-by-row. Columnstore indexes require the table to be read-only but provide an easy way to boost query performance for analytics workloads by 10-100x without needing separate data marts or cubes.

This document provides an overview of SAS (Statistical Analysis Software). It describes how SAS can handle large datasets with millions or billions of records. It also lists some common SAS modules and provides examples of DATA and PROC steps to create and process SAS datasets. Finally, it discusses the SAS programming environment and how to submit and run SAS programs.

Just when the world of “Data 1.0” showed some signs of maturing; the “Outside In” driven demands seem to have already initiated some the disruptive changes to the data landscape. Parallel growth in volume, velocity and variety of data coupled with incessant war on finding newer insights and value from data has posed a Big Question: Is Your Data Warehouse Relevant? In short, the surrounding changes happening real time is the new “Data 2.0”. It is characterized by feeding the ever hungry minds with sharper insights whether it is related to regulation, finance, corporate action, risk management or purely aimed at improving operational efficiencies. The source in this new “Data 2.0” has to be commensurate to the outside in demands from customers, regulators, stakeholders and business users; and hence, you would need a high relformance (relevance + performance) data warehouse which will be relevant to your business eco-system and will have the power to scale exponentially. We starts this webinar by giving the audiences a sneak preview of what happened in the Data 1.0 world & which characteristics are shaping the new Data 2.0 world. It then delves deep on the challenges that growing data volumes have posed to the Data warehouse teams. It also presents the audiences some of the practical and proven methodologies to address these performance challenges. Finally, in the end it will highlight some of the thought provoking ways to turbo charge your data warehouse related initiatives by leveraging some of the newer technologies like Hadoop. Overall, the webinar will educate audiences with building high performance and relevant data warehouses which is capable of meeting the newer demands while significantly driving down the total cost of ownership.

This document outlines Sieedah Francis's education and training from June 2012 to June 2013 which included certifications in digital literacy and Microsoft Office as well as courses in introduction to computers and programming, object-oriented programming, database modeling, SQL, PL/SQL, programming with Visual Basic, Java GUI development, and web design with HTML and Dreamweaver. Major projects included creating a database for an bookstore from an ERD diagram, programming a Visual Basic application to track company inventory and employees, and designing GUI applications in Java.

The document discusses database transactions and transaction management. It begins with an overview of transactions, their properties (atomicity, consistency, isolation, durability known as ACID), and how they are implemented using locks in SQL Server. It then covers transaction isolation levels, locking concepts like lock types and escalation, and how to troubleshoot locking problems including deadlocks. The document provides examples of transactions in SQL Server and demonstrations of managing transactions and concurrency.

This document provides an overview of business intelligence. It defines business intelligence as transforming data into knowledge. It discusses data warehouses as single points of truth that store large amounts of differently designed data. It demonstrates extracting information from data warehouses using T-SQL and visualizing data in Excel models and Power BI reports to provide ready analytics to managers in a beautiful way.

This document provides an introduction to Microsoft SQL Server. It discusses why data is important for businesses, how SQL Server helps manage data, and an upcoming hands-on session to learn SQL Server 2014. The document outlines the history and components of SQL Server, editions available, how to install and connect to SQL Server instances, and introduces SQL Server Management Studio as the GUI tool. It concludes with a planned Q&A session.

7 Steps to Transform Your Enterprise Architecture Practice

"How to Become an Exceptional DBA". This is Brad McGehee's presentation to the Silicon Valley SQL Server User Group in March 2009.

Global SAP Templates are never the end - they mark the beginning of the solution lifecycle. Can global templates and their rollouts be managed more effectively ? Can change control move beyond signing off documents ? Can the systems which get impacted by changes provide a feedback to the change control process ? This presentation provides an innovative way of deploying SAP Solution Manager to manage a global SAP template.

866.P4D.INFO | Plan4Demand.com | Info@plan4demand.com For More Information email jaime.reints@plan4demand.com or contact Jaime at 412.733.5011 Uncovering the Reality of SAP's Production Planning & Detailed Scheduling Module Many companies who have invested in SAP ECC/APO are just now starting to deploy at the plant level after heavily focusing on demand and supply network planning. As a part of the SAP journey PP/DS is the next logical solution to deploy or optimize. If you’re considering PP/DS, or already have it implemented but are struggling to harness it’s full potential, you’ll benefit from this webinar. This presentation will help people better understand; - What PP/DS really capable of accomplishing - Where PP/DS interacts with SNP - How PP/DS differs from SNP - Ways to enhance Block planning - Why PP/DS can help manage production resource, specifically related to lead times, setup costs, delays and modes For even more Supply Planning Leadership join our private linkedin group http://linkd.in/SPLeadershipExchange

As enterprise IT environments increase in diversity, most service providers will be subjected to work in a delivery model that involves more than one provider and scope that is shared - often with a rival against whom they bid for the project. How can the service providers and their customers ensure collaboration works to provide value to business ? This presentation introduces the concept of a Collaboration Charter to enable multi-partner initiatives and to ensure that they succeed.

SAP APO SNP Training Supply Network Planning is a set of functionalities around Distribution Requirement Planning, Deployment, Demand and Supply Matching and Optimization. It is a module in the Advanced Planner and Optimizer (APO) that enables organizations to determine sourcing, production plans, distribution plans, and purchasing plans. The system draws on the data universally available in liveCache to optimize such plans based on optimization algorithms and heuristic approaches that enable the planner to define rules and inventory policies.  This is a 35-40 hours course starting with an overview of the SOP, MPS and MRP Processes, followed with the master data needed for the process. It then continues with the configuration of the different planning objects, the functionality of the different planning engines and the end-to-end process.  The course includes the case studies and exercises starting with the network design, creation of Models, simulation versions etc.

The document discusses key concepts for business leaders including developing an innovation system, balancing the business system, synergizing business processes, and developing growth strategies. It provides definitions and explanations of vision, mission, goals, and strategic intent. The document is a presentation from Vadim Kotelnikov on becoming a SMART business architect by building a balanced and synergistic enterprise focused on innovation and growth.