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EMC Greenplum Data Computing Appliance: High Performance for Data Warehousing and Business Intelligence an Architectural Overview
EMC Greenplum Data Computing Appliance: High Performance for Data Warehousing and Business Intelligence An Architectural Overview EMC Information Infrastructure Solutions Abstract This white paper provides readers with an overall understanding of the EMC® Greenplum® Data Computing Appliance (DCA) architecture and its performance levels. It also describes how the DCA provides a scalable end-to- end data warehouse solution packaged within a manageable, self-contained data warehouse appliance that can be easily integrated into an existing data center. October 2010 Copyright © 2010 EMC Corporation. All rights reserved. EMC believes the information in this publication is accurate as of its publication date. The information is subject to change without notice. THE INFORMATION IN THIS PUBLICATION IS PROVIDED “AS IS.” EMC CORPORATION MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND WITH RESPECT TO THE INFORMATION IN THIS PUBLICATION, AND SPECIFICALLY DISCLAIMS IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Use, copying, and distribution of any EMC software described in this publication requires an applicable software license. For the most up-to-date listing of EMC product names, see EMC Corporation Trademarks on EMC.com All other trademarks used herein are the property of their respective owners. Part number: H8039 EMC Greenplum Data Computing Appliance: High Performance for Data Warehousing and Business Intelligence—An Architectural Overview 2 Table of Contents Executive summary ................................................................................................. -
SAP Database Administration with IBM
André Faustmann, Michael Greulich, André Siegling, Benjamin Wegner, and Ronny Zimmerman SAP® Database Administration with IBM® DB2® Bonn Boston Contents at a Glance 1 Introduction ............................................................................ 19 2 SAP System Landscapes ......................................................... 25 3 Basics and Architecture of the IBM DB2 for LUW Database ................................................................................. 71 4 Lifecycle ................................................................................. 233 5 Administration Tools Inside and Outside the SAP System .... 327 6 Backup, Restore, and Recovery .............................................. 463 7 Monitoring DB2 SAP Systems with SAP Solution Manager .................................................................................. 575 8 SAP NetWeaver Business Warehouse and IBM DB2 for LUW .................................................................................. 647 9 Common Problems and Their Solutions for DB2 Administrators ........................................................................ 697 Contents Foreword .................................................................................... 15 Acknowledgments ....................................................................... 17 1 Introduction ................................................................. 19 1.1 Who This Book Is For .................................................... 21 1.2 Focus of This Book ....................................................... -
IBM DB2 for Z/OS: the Database for Gaining a Competitive Advantage!
Why You Should Read This Book Tom Ramey, Director, DB2 for z/OS IBM Silicon Valley Laboratory “This book is a ‘must read’ for Enterprise customers and contains a wealth of valuable information! “It is clear that there is a technology paradigm shift underway, and this is opening enormous opportunities for companies in all industries. Adoption of Cloud, Mobile, and Analytics promises to revolutionize the way we do business and will add value to a company’s business processes across all functions from sales, marketing, procurement, manufacturing and finance. “IT will play a significant role enabling this shift. Read this book and find out how to integrate the heart of your infrastructure, DB2 for z/OS, with new technologies in order to maximize your investment and drive new value for your customers.” Located at IBM’s Silicon Valley Laboratory, Tom is the director of IBM’s premiere relational database management system. His responsibilities include Architecture, Development, Service, and Customer Support for DB2. He leads development labs in the United States, Germany, and China. Tom works closely with IBM’s largest clients to ensure that DB2 for z/OS continues as the leading solution for modern applications, encompassing OLTP to mobile to analytics. At the same time he continues an uncompromising focus on meeting the needs of the most demanding operational environments on Earth, through DB2’s industry- leading performance, availability, scaling, and security capabilities. IBM DB2 for z/OS: The Database for Gaining a Competitive Advantage! Shantan Kethireddy Jane Man Surekha Parekh Pallavi Priyadarshini Maryela Weihrauch MC Press Online, LLC Boise, ID 83703 USA IBM DB2 for z/OS: The Database for Gaining a Competitive Advantage! Shantan Kethireddy, Jane Man, Surekha Parekh, Pallavi Priyadarshini, and Maryela Weihrauch First Edition First Printing—October 2015 © Copyright 2015 IBM. -
Microsoft's SQL Server Parallel Data Warehouse Provides
Microsoft’s SQL Server Parallel Data Warehouse Provides High Performance and Great Value Published by: Value Prism Consulting Sponsored by: Microsoft Corporation Publish date: March 2013 Abstract: Data Warehouse appliances may be difficult to compare and contrast, given that the different preconfigured solutions come with a variety of available storage and other specifications. Value Prism Consulting, a management consulting firm, was engaged by Microsoft® Corporation to review several data warehouse solutions, to compare and contrast several offerings from a variety of vendors. The firm compared each appliance based on publicly-available price and specification data, and on a price-to-performance scale, Microsoft’s SQL Server 2012 Parallel Data Warehouse is the most cost-effective appliance. Disclaimer Every organization has unique considerations for economic analysis, and significant business investments should undergo a rigorous economic justification to comprehensively identify the full business impact of those investments. This analysis report is for informational purposes only. VALUE PRISM CONSULTING MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS DOCUMENT. ©2013 Value Prism Consulting, LLC. All rights reserved. Product names, logos, brands, and other trademarks featured or referred to within this report are the property of their respective trademark holders in the United States and/or other countries. Complying with all applicable copyright laws is the responsibility of the user. Without limiting the rights under copyright, no part of this report may be reproduced, stored in or introduced into a retrieval system, or transmitted in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise), or for any purpose, without the express written permission of Microsoft Corporation. -
Dell Quickstart Data Warehouse Appliance 2000
Dell Quickstart Data Warehouse Appliance 2000 Reference Architecture Dell Quickstart Data Warehouse Appliance 2000 THIS DESIGN GUIDE IS FOR INFORMATIONAL PURPOSES ONLY, AND MAY CONTAIN TYPOGRAPHICAL ERRORS AND TECHNICAL INACCURACIES. THE CONTENT IS PROVIDED AS IS, WITHOUT EXPRESS OR IMPLIED WARRANTIES OF ANY KIND. © 2012 Dell Inc. All rights reserved. Reproduction of this material in any manner whatsoever without the express written permission of Dell Inc. is strictly forbidden. For more information, contact Dell. Dell , the DELL logo, the DELL badge, and PowerEdge are trademarks of Dell Inc . Microsoft , Windows Server , and SQL Server are either trademarks or registered trademarks of Microsoft Corporation in the United States and/or other countries. Intel and Xeon are either trademarks or registered trademarks of Intel Corporation in the United States and/or other countries. Other trademarks and trade names may be used in this document to refer to either the entities claiming the marks and names or their products. Dell Inc. disclaims any proprietary interest in trademarks and trade names other than its own. December 2012 Page ii Dell Quickstart Data Warehouse Appliance 2000 Contents Introduction ............................................................................................................ 2 Audience ............................................................................................................. 2 Reference Architecture .............................................................................................. -
Developing Embedded SQL Applications
IBM DB2 10.1 for Linux, UNIX, and Windows Developing Embedded SQL Applications SC27-3874-00 IBM DB2 10.1 for Linux, UNIX, and Windows Developing Embedded SQL Applications SC27-3874-00 Note Before using this information and the product it supports, read the general information under Appendix B, “Notices,” on page 209. Edition Notice This document contains proprietary information of IBM. It is provided under a license agreement and is protected by copyright law. The information contained in this publication does not include any product warranties, and any statements provided in this manual should not be interpreted as such. You can order IBM publications online or through your local IBM representative. v To order publications online, go to the IBM Publications Center at http://www.ibm.com/shop/publications/ order v To find your local IBM representative, go to the IBM Directory of Worldwide Contacts at http://www.ibm.com/ planetwide/ To order DB2 publications from DB2 Marketing and Sales in the United States or Canada, call 1-800-IBM-4YOU (426-4968). When you send information to IBM, you grant IBM a nonexclusive right to use or distribute the information in any way it believes appropriate without incurring any obligation to you. © Copyright IBM Corporation 1993, 2012. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents Chapter 1. Introduction to embedded Include files for COBOL embedded SQL SQL................1 applications .............29 Embedding SQL statements -
Proc SQL Vs. Pass-Thru SQL on DB2® Or How I Found a Day
NESUG 15 Beginning Tutorials Proc SQL vs. Pass-Thru SQL on DB2® Or How I Found a Day Jeffrey S. Cohen, American Education Services/PHEAA Abstract When extracting data from multiple tables, you must employ Join conditions to avoid a Cartesian product, Many people use Proc SQL to query DB2 where each row from table one will be joined with databases yet ignore the Pass-thru ability of this each row in table two. A Join condition will tell the Proc. This paper will compare the Proc SQL of DBMS how to match the rows of the two tables. Consider the above example, only now we want the SAS® and Pass-thru SQL on the same 30 million- color of the person's car as well: row table to highlight the time and resource Select A.Name, savings that Pass-through SQL can give. A.Age, A.City, Overview B.Color From Table_Demographics A Inner Join One of the most useful features of SAS software is Table_Cars B on its ability to read data in almost any form or A.Name = B.Name storage medium from multiple data sets. When Where A.Age < 30 and accessing data from a Database Management (A.City = 'Syracuse' or System (DBMS) such as DB2, the SQL procedure A.State = 'Maine') is required. Like many SAS procedures there are a Notice that when selecting multiple columns a variety of options available, some greatly comma must separate them. Also notice that the impacting performance. We will examine three table Table_Demographics is given the pseudonym techniques to use when joining three tables with of A and the table Table_Cars is given the Proc SQL and the results on performance. -
The Teradata Data Warehouse Appliance Technical Note on Teradata Data Warehouse Appliance Vs
The Teradata Data Warehouse Appliance Technical Note on Teradata Data Warehouse Appliance vs. Oracle Exadata By Krish Krishnan Sixth Sense Advisors Inc. November 2013 Sponsored by: Table of Contents Background ..................................................................3 Loading Data ............................................................3 Data Availability .........................................................3 Data Volumes ............................................................3 Storage Performance .....................................................4 Operational Costs ........................................................4 The Data Warehouse Appliance Selection .....................................5 Under the Hood ..........................................................5 Oracle Exadata. .5 Oracle Exadata Intelligent Storage ........................................6 Hybrid Columnar Compression ...........................................7 Mixed Workload Capability ...............................................8 Management ............................................................9 Scalability ................................................................9 Consolidation ............................................................9 Supportability ...........................................................9 Teradata Data Warehouse Appliance .........................................10 Hardware Improvements ................................................10 Teradata’s Intelligent Memory (TIM) vs. Exdata Flach Cache. -
Toad for IBM DB2 Release Notes
Toad for IBM DB2 7.1.x Release Notes Monday, November 18, 2019 Contents About Toad for IBM DB2 1 New Features 1 System Requirements 2 Resolved Issues and Enhancements 4 Known Issues 4 Third Party Known Issues 6 Getting Started 7 Toad for DB2 Editions 7 Product Licensing 8 Globalization 8 About Us 9 Copyright 9 About Toad for IBM DB2 With Toad, developers and database administrators can use a familiar, proven tool to manage databases. Toad empowers developers and administrators, of varying skill levels, to rapidly create and execute queries, automate database object management, and develop SQL more efficiently. Toad also provides utilities to compare, extract and search for objects, manage projects, import/export data and administer the database, while increasing your productivity and delivering access to an active user community. Toad for IBM DB2 7.1.2 is a patch release with new features, security enhancements and resolved issues. New Features In Toad for IBM DB2 7.1 the following new features were implemented: Security and Installation Enhancements For this release of Toad for IBM DB2 we have provided internal security adjustments. We have revised a list of third party components in use according to their known and potential vulnerabilities. Toad uses only reliable and safe components by third party vendors. See the list of third party components in Toad for IBM DB2the help file, section About Us | Third Party Components. Our Toad installers are now based on the Wix Toolset , which improves user experience and performance of the installation process. See Resolved Issues for more enhancements and resolved issues in this release of Toad for IBM DB2. -
State of the Data Warehouse Appliance Krish Krishnan
Thema Datawarehouse Appliances The future looks bright considering all the innovation State of the Data Warehouse Appliance Krish Krishnan Krish Krishnan is a recognized expert worldwide in the strategy, architec- ture and implementation of high performance data warehousing solutions. He is a visionary data warehouse thought leader and an independent analyst, writing and speaking at industry leading conferences, user groups and trade publications. His conclusion: The future looks bright for the data warehouse appliance. We have been seeing in the past 18 months a steady influx of runs for 10 hours in a 1,000,000 records database”; data warehouse appliances, and the offerings include the esta- - “My users keep reporting that the ETL processes failed due to blished players like Oracle and Teradata. There are a few facts large data volumes in the DW”; that are clear from this rush of options and offerings: - “My CFO wants to know why we need another $500,000 for - The data warehouse appliance is now an accepted solution and infrastructure when we invested a similar amount just six is being sponsored by the CxO within organizations; months ago”; - The need to be nimble and competitive has driven the quick - “My DBA team is exhausted trying to keep the tuning process maturation of data warehouse appliances, and the market is online for the databases to achieve speed.” embracing the offerings where applicable; - Some of the world’s largest data warehouses have augmented The consistent theme throughout the marketplace focuses on the the data warehouse appliance, including: New York Stock need to keep performance and response time up without incur- Exchange has multiple enterprise data warehouses (EDWs) on ring extra spending due to higher costs. -
Gartner Magic Quadrant for Data Management Solutions for Analytics
16/09/2019 Gartner Reprint Licensed for Distribution Magic Quadrant for Data Management Solutions for Analytics Published 21 January 2019 - ID G00353775 - 74 min read By Analysts Adam Ronthal, Roxane Edjlali, Rick Greenwald Disruption slows as cloud and nonrelational technology take their place beside traditional approaches, the leaders extend their lead, and distributed data approaches solidify their place as a best practice for DMSA. We help data and analytics leaders evaluate DMSAs in an increasingly split market. Market Definition/Description Gartner defines a data management solution for analytics (DMSA) as a complete software system that supports and manages data in one or many file management systems, most commonly a database or multiple databases. These management systems include specific optimization strategies designed for supporting analytical processing — including, but not limited to, relational processing, nonrelational processing (such as graph processing), and machine learning or programming languages such as Python or R. Data is not necessarily stored in a relational structure, and can use multiple data models — relational, XML, JavaScript Object Notation (JSON), key-value, graph, geospatial and others. Our definition also states that: ■ A DMSA is a system for storing, accessing, processing and delivering data intended for one or more of the four primary use cases Gartner identifies that support analytics (see Note 1). ■ A DMSA is not a specific class or type of technology; it is a use case. ■ A DMSA may consist of many different technologies in combination. However, any offering or combination of offerings must, at its core, exhibit the capability of providing access to the data under management by open-access tools. -
DB2 Database Facilities Management …
IBM Jay.Manaloto Search Submit IBM Profiles Communities Apps Share Wikis This Wiki Search IBM TRIRIGA Following Actions Wiki Actions TRIRIGA Wiki Home You are in: IBM TRIRIGA > IBM TRIRIGA Application Platform > Performance > Best Practices for System Performance > Database specific considerations > DB2 database Facilities Management … Facilities Maintenance DB2 database Like | Updated December 4, 2019 by Jay.Manaloto | Tags: db2, db2_database, db2_performance, db2_tuning, performance, reserve_performance, system_performance Add or Environmental & Ener… remove tags Real Estate Management Edit Page Actions Capital Project Manag… CAD Integrator-Publis… IBM TRIRIGA Connect… IBM TRIRIGA Anywhere IBM TRIRIGA Applicati… Best Practices for System Performance. Support Matrix 5 Database Server Tuning and Maintenance (continued) Hints and Tips Installing < Back to Table of Contents Admin Console 5 Database Server Tuning and Maintenance (continued) 5.3 IBM DB2 Database (was 5.6) Builder Tools 5.3.1 IBM DB2 Database Server Tuning (was 5.2) a. DB2 Automatic Buffer Pool Size and Auto Extends (was 5.5.5) Connector for Busin… b. DB2 Diagnostic Log (was 5.5.6) 5.3.2 IBM DB2 Application Platform Indexes (was 5.4.2.a) Connector for Esri GIS 5.3.3 Reserve Indexes for DB2 (was 5.4.2.d) Document Manager 5.3.4 Lease Indexes for DB2 5.3.5 Internal Lease Benchmark Findings Extended Formula a. Performance Benchmark Index Objectives b. Performance Environments Gantt Scheduler b.1 Data-Load Hardware Environment b.2 Multi-User Benchmark Test Environment Globalization b.3 Software Environment Group Object b.4 Key Configurations b.4.1 IBM DB2 Database Server Label Manager b.4.2 IBM WebSphere Application Server b.4.3 Operating System Licensing b.4.4 IBM TRIRIGA Platform c.