A Survey: Security Perspectives of ORACLE and IBM-DB2 Databases
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Netezza EOL: IBM IAS Is a Flawed Upgrade Path Netezza EOL: IBM IAS Is a Flawed Upgrade Path
Author: Marc Staimer WHITE PAPER Netezza EOL: What You’re Not Being Told About IBM IAS Is a Flawed Upgrade Path Database as a Service (DBaaS) WHITE PAPER • Netezza EOL: IBM IAS Is a Flawed Upgrade Path Netezza EOL: IBM IAS Is a Flawed Upgrade Path Executive Summary It is a common technology vendor fallacy to compare their systems with their competitors by focusing on the features, functions, and specifications they have, but the other guy doesn’t. Vendors ignore the opposite while touting hardware specs that mean little. It doesn’t matter if those features, functions, and specifications provide anything meaningfully empirical to the business applications that rely on the system. It only matters if it demonstrates an advantage on paper. This is called specsmanship. It’s similar to starting an argument with proof points. The specs, features, and functions are proof points that the system can solve specific operational problems. They are the “what” that solves the problem or problems. They mean nothing by themselves. Specsmanship is defined by Wikipedia as: “inappropriate use of specifications or measurement results to establish supposed superiority of one entity over another, generally when no such superiority exists.” It’s the frequent ineffective sales process utilized by IBM. A textbook example of this is IBM’s attempt to move their Netezza users to the IBM Integrated Analytics System (IIAS). IBM is compelling their users to move away from Netezza. In the fall of 2017, IBM announced to the Enzee community (Netezza users) that they can no longer purchase or upgrade PureData System for Analytics (the most recent IBM name for its Netezza appliances), and it will end-of-life all support next year. -
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 ....................................................... -
Oracle Nosql Database
An Oracle White Paper November 2012 Oracle NoSQL Database Oracle NoSQL Database Table of Contents Introduction ........................................................................................ 2 Technical Overview ............................................................................ 4 Data Model ..................................................................................... 4 API ................................................................................................. 5 Create, Remove, Update, and Delete..................................................... 5 Iteration ................................................................................................... 6 Bulk Operation API ................................................................................. 7 Administration .................................................................................... 7 Architecture ........................................................................................ 8 Implementation ................................................................................... 9 Storage Nodes ............................................................................... 9 Client Driver ................................................................................. 10 Performance ..................................................................................... 11 Conclusion ....................................................................................... 12 1 Oracle NoSQL Database Introduction NoSQL databases -
Oracle Database Vault Overview
Oracle Database Vault Oracle Database Vault provides controls to prevent unauthorized privileged users from accessing sensitive data, prevent unauthorized database changes, and helps customers meet industry, regulatory, or corporate security standards. March 23, 2020 Copyright © 2020, Oracle and/or its affiliates Public Purpose Statement This document provides an overview of features and enhancements included in the latest releases of Oracle Database Vault. It is intended solely to help you assess the business benefits of using Oracle Database Vault preventive controls and to plan your Data Security / I.T. projects. Disclaimer This document in any form, software or printed matter, contains proprietary information that is the exclusive property of Oracle. Your access to and use of this confidential material is subject to the terms and conditions of your Oracle software license and service agreement, which has been executed and with which you agree to comply. This document is not part of your license agreement nor can it be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. This document is for informational purposes only and is intended solely to assist you in planning for the implementation and upgrade of the product features described. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described in this document remains at the sole discretion of -
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. -
Oracle Big Data SQL Release 4.1
ORACLE DATA SHEET Oracle Big Data SQL Release 4.1 The unprecedented explosion in data that can be made useful to enterprises – from the Internet of Things, to the social streams of global customer bases – has created a tremendous opportunity for businesses. However, with the enormous possibilities of Big Data, there can also be enormous complexity. Integrating Big Data systems to leverage these vast new data resources with existing information estates can be challenging. Valuable data may be stored in a system separate from where the majority of business-critical operations take place. Moreover, accessing this data may require significant investment in re-developing code for analysis and reporting - delaying access to data as well as reducing the ultimate value of the data to the business. Oracle Big Data SQL enables organizations to immediately analyze data across Apache Hadoop, Apache Kafka, NoSQL, object stores and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. KEY FEATURES Rich SQL Processing on All Data • Seamlessly query data across Oracle Oracle Big Data SQL is a data virtualization innovation from Oracle. It is a new Database, Hadoop, object stores, architecture and solution for SQL and other data APIs (such as REST and Node.js) on Kafka and NoSQL sources disparate data sets, seamlessly integrating data in Apache Hadoop, Apache Kafka, • Runs all Oracle SQL queries without modification – preserving application object stores and a number of NoSQL databases with data stored in Oracle Database. -
Oracle Database Advanced Application Developer's Guide, 11G Release 2 (11.2) E17125-03
Oracle® Database Advanced Application Developer's Guide 11g Release 2 (11.2) E17125-03 August 2010 Oracle Database Advanced Application Developer's Guide, 11g Release 2 (11.2) E17125-03 Copyright © 1996, 2010, Oracle and/or its affiliates. All rights reserved. Primary Author: Sheila Moore Contributing Authors: D. Adams, L. Ashdown, M. Cowan, J. Melnick, R. Moran, E. Paapanen, J. Russell, R. Strohm, R. Ward Contributors: D. Alpern, G. Arora, C. Barclay, D. Bronnikov, T. Chang, L. Chen, B. Cheng, M. Davidson, R. Day, R. Decker, G. Doherty, D. Elson, A. Ganesh, M. Hartstein, Y. Hu, J. Huang, C. Iyer, N. Jain, R. Jenkins Jr., S. Kotsovolos, V. Krishnaswamy, S. Kumar, C. Lei, B. Llewellyn, D. Lorentz, V. Moore, K. Muthukkaruppan, V. Moore, J. Muller, R. Murthy, R. Pang, B. Sinha, S. Vemuri, W. Wang, D. Wong, A. Yalamanchi, Q. Yu This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this software or related documentation is delivered to the U.S. -
Oracle Database Sharding Infographic
Oracle Database Sharding Oracle Sharding : Scale-out Rela7onal Database Sharding = Distributed Par77oning + Replica7on One giant database par66oned into many small databases (shards) Built on shared-nothing hardware architecture • Some web-scale OLTP applicaons use database sharding to avoid • Horizontal par66oning of data using a sharding key (e.g. scalability or availability edge cases of a single large database customer_id) across a farm of independent Oracle Databases • Oracle 12cR2 is the first full-featured RDBMS that provides nave • Shards can be hosted on commodity servers or engineered systems database sharding while suppor6ng enterprise capabili6es • Data automacally replicated with Data Guard or Oracle GoldenGate for high availability and disaster recovery Benefits Linear Scalability Fault Isola7on Geographic Distribuon Flexible Deployment 12,000,000 CPU CA On-Premises Hybrid Cloud 10,000,000 CA CA 8,000,000 … TPS 6,000,000 CA Vector Register 4,000,000 … 2,000,000 0 50 100 150 200 # of Shards Add shards online to Shared-nothing Data Sovereignty - for Flexible On-Premises, Cloud or Hybrid linearly scale - architecture. data privacy regulaons. Deployments. transac6ons, users and Fault of one shard Data Proximity - to bring Supports Cloud bursng database capacity has no impact on data closer to the users other shards Salient Features • Auto deployment of up to 1000 shards • Direct Rou6ng – Supports Data Guard and Oracle GoldenGate – Direct fast path SQL access via sharding key from smart topology- • Mul6ple sharding methods aware -
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 -
Oracle Nosql Database EE Data Sheet
Oracle NoSQL Database 21.1 Enterprise Edition (EE) Oracle NoSQL Database is a multi-model, multi-region, multi-cloud, active-active KEY BUSINESS BENEFITS database, designed to provide a highly-available, scalable, performant, flexible, High throughput and reliable data management solution to meet today’s most demanding Bounded latency workloads. It can be deployed in on-premise data centers and cloud. It is well- Linear scalability suited for high volume and velocity workloads, like Internet of Things, 360- High availability degree customer view, online contextual advertising, fraud detection, mobile Fast and easy deployment application, user personalization, and online gaming. Developers can use a single Smart topology management application interface to quickly build applications that run in on-premise and Online elastic configuration cloud environments. Multi-region data replication Enterprise grade software Applications send network requests against an Oracle NoSQL data store to and support perform database operations. With multi-region tables, data can be globally distributed and automatically replicated in real-time across different regions. Data can be modeled as fixed-schema tables, documents, key-value pairs, and large objects. Different data models interoperate with each other through a single programming interface. Oracle NoSQL Database is a sharded, shared-nothing system which distributes data uniformly across multiple shards in a NoSQL database cluster, based on the hashed value of the primary keys. An Oracle NoSQL Database data store is a collection of storage nodes, each of which hosts one or more replication nodes. Data is automatically populated across these replication nodes by internal replication mechanisms to ensure high availability and rapid failover in the event of a storage node failure. -
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. -
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.