This IBM® Redbooks® publication will help you install, configure, and use IBM InfoSphere® Optim™ Workload Replay (InfoSphere Workload Replay), a web-based tool that lets you capture real production SQL workload data and then replay the workload data in a pre-production environment. With InfoSphere Workload Replay, you can set up and run realistic tests for enterprise database changes without the need to create a complex client and application infrastructure to mimic your production environment. The publication goes through the steps to install and configure the InfoSphere Workload Replay appliance and related database components for IBM DB2® for Linux, UNIX, and Windows and for DB2 for IBM z/OS®. The capture, replay, and reporting process, including user ID and roles management, is described in detail to quickly get you up and running. Ongoing operations, such as appliance health monitoring, starting and stopping the product, and backup and restore in your day-to-day management of the product, extensive troubleshooting information, and information about how to integrate InfoSphere Workload Replay with other InfoSphere products are covered in separate chapters.

IBM® DB2® with BLU Acceleration is a revolutionary technology that is delivered in DB2 for Linux, UNIX, and Windows Release 10.5. BLU Acceleration delivers breakthrough performance improvements for analytic queries by using dynamic in-memory columnar technologies. Different from other vendor solutions, BLU Acceleration allows the unified computing of OLTP and analytics data inside a single database, therefore, removing barriers and accelerating results for users. With observed hundredfold improvement in query response time, BLU Acceleration provides a simple, fast, and easy-to-use solution for the needs of today's organizations; quick access to business answers can be used to gain a competitive edge, lower costs, and more. This IBM Redbooks® publication introduces the concepts of DB2 with BLU Acceleration. It discusses the steps to move from a relational database to using BLU Acceleration, optimizing BLU usage, and deploying BLU into existing analytic solutions today, with an example of IBM Cognos®. This book also describes integration of DB2 with BLU Acceleration into SAP Business Warehouse (SAP BW) and SAP's near-line storage solution on DB2. This publication is intended to be helpful to a wide-ranging audience, including those readers who want to understand the technologies and those who have planning, deployment, and support responsibilities.

IBM® DB2® with BLU Acceleration is a revolutionary technology that is delivered in DB2 for Linux, UNIX, and Windows Release 10.5. BLU Acceleration delivers breakthrough performance improvements for analytic queries by using dynamic in-memory columnar technologies. Different from other vendor solutions, BLU Acceleration allows the unified computing of online transaction processing (OLTP) and analytics data inside a single database, therefore, removing barriers and accelerating results for users. With observed hundredfold improvement in query response time, BLU Acceleration provides a simple, fast, and easy-to-use solution for the needs of today's organizations; quick access to business answers can be used to gain a competitive edge, lower costs, and more. This IBM Redbooks® publication introduces the concepts of DB2 with BLU Acceleration. It discusses the steps to move from a relational database to using BLU Acceleration, optimizing BLU usage, and deploying BLU into existing analytic solutions today, with an example of IBM Cognos®. This book also describes integration of DB2 with BLU Acceleration into SAP Business Warehouse (SAP BW) and SAP's near-line storage solution on DB2. This publication is intended to be helpful to a wide-ranging audience, including those readers who want to understand the technologies and readers who have planning, deployment, and support responsibilities.

Building on the business intelligence (BI) framework and capabilities that are outlined in InfoSphere Warehouse: A Robust Infrastructure for Business Intelligence, SG24-7813, this IBM® Redbooks® publication focuses on the new business insight challenges that have arisen in the last few years and the new technologies in IBM DB2® 10 for Linux, UNIX, and Windows that provide powerful analytic capabilities to meet those challenges. This book is organized in to two parts. The first part provides an overview of data warehouse infrastructure and DB2 Warehouse, and outlines the planning and design process for building your data warehouse. The second part covers the major technologies that are available in DB2 10 for Linux, UNIX, and Windows. We focus on functions that help you get the most value and performance from your data warehouse. These technologies include database partitioning, intrapartition parallelism, compression, multidimensional clustering, range (table) partitioning, data movement utilities, database monitoring interfaces, infrastructures for high availability, DB2 workload management, data mining, and relational OLAP capabilities. A chapter on BLU Acceleration gives you all of the details about this exciting DB2 10.5 innovation that simplifies and speeds up reporting and analytics. Easy to set up and self-optimizing, BLU Acceleration eliminates the need for indexes, aggregates, or time-consuming database tuning to achieve top performance and storage efficiency. No SQL or schema changes are required to take advantage of this breakthrough technology. This book is primarily intended for use by IBM employees, IBM clients, and IBM Business Partners.

IBM® DB2® for Linux®, UNIX®, and Windows® has long been known for its technology leadership. The IBM DB2 SQL Skin feature for applications that are compatible with Sybase ASE (IBM DB2 SSacSA), offered in DB2 9.7, provides a revolutionary approach to switch to DB2. The IBM DB2 SSacSA feature is an enablement technology that immediately equips most Sybase ASE applications to run against DB2, usually with little to no up front conversion work required. This approach minimizes the costs and risks of a traditional migration. In this IBM Redbooks® publication, we discuss the considerations and methodology for transitioning from Sybase to DB2 for Linux, UNIX, and Windows, addressing the basic topic areas of data, applications, and administration. We also describe the IBM DB2 SSacSA architecture and give information about the no charge IBM Data Movement Tool that helps you move database objects and data from Sybase to DB2. This book is for anyone who is interested or will be involved in Sybase to DB2 conversion. It contains application enablement and database performance tuning considerations and tips. With this information, you can plan your transition and its requirements in an orderly and cost effective manner.

The IBM DB2 Integrated Cluster Environment for Linux is a completely integrated, high-performance, and pre-tested solution that incorporates best-of-breed software, hardware, and services. This IBM Redbooks publication provides you with the technical details of the DB2 Integrated Cluster Environment. We begin with a general overview of DB2 Integrated Cluster Environment and the fundamentals of DB2 in a Linux cluster environment, followed by a discussion of hardware options for cluster ingredients that constitute DB2 Integrated Cluster Environment and considerations for their selection. We cover the planning and database design considerations for building a DB2 partitioned database that is both flexible and scalable and provide the implementation details of DB2 Linux clusters. This publication also cover the new autonomic features of DB2 UDB V8.2 and system tools monitoring. It describes components and possible configurations of a high-availability solution and provides implementation details of a failover protection in an DB2 Integrated Cluster Environment. At the end, we discuss scalability in the DB2 Integrated Cluster Environment, including some guidance in planning for the growth of a business and database. We also examine a number of scaling strategies in more detail and provide the steps involved in scaling a database.