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Architecting and Deploying DB2 with BLU Acceleration
Information Management

Redbooks, published 13 Oct 2014, last updated 11 May 2015

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 ... [more]


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Implementation Best Practices for IBM DB2 BLU Acceleration with SAP BW on IBM Power Systems
Power Systems

Redbooks, published 11 May 2015

BLU Acceleration is a new technology that has been developed by IBM® and integrated directly into the IBM DB2® engine. BLU Acceleration is a new storage engine along with integrated run time (directly into the core DB2 engine) to support the storage and analysis of column-organized tables. The BLU Acceleration processing is parallel to the regular, row-based table processing found in the DB2 engine. This is not a bolt-on technology nor is it a separate analytic engine that sits outside of DB2. Much like when IBM added XML data as a first class object within the database along with all the ... [more]


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Reliability and Performance with IBM DB2 Analytics Accelerator V4.1
Information Management

Redbooks, published 24 Sep 2014, last updated 11 May 2015

The IBM® DB2® Analytics Accelerator for IBM z/OS® is a high-performance appliance that integrates the IBM zEnterprise® infrastructure with IBM PureData™ for Analytics, powered by IBM Netezza® technology. With this integration, you can accelerate data-intensive and complex queries in a DB2 for z/OS highly secure and available environment. DB2 and the Analytics Accelerator appliance form a self-managing hybrid environment running online transaction processing and online transactional analytical processing concurrently and efficiently. These online transactions run together with business ... [more]


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IBM Cloudant: Database as a Service Advanced Topics
Information Management

Redpaper, published 17 Apr 2015

This IBM® Redpaper™ publication describes advanced topics for IBM Cloudant, a NoSQL JSON document store that is optimized for handling heavy workloads of concurrent reads and writes in the cloud, a workload that is typical of large, fast-growing web and mobile apps. You can use Cloudant as a fully-managed DBaaS running on public cloud platforms like IBM SoftLayer or via an on-premise version called Cloudant Local that you can run yourself on any private, public, or hybrid cloud platform. This paper is the third in a series of IBM Redbooks® publications on Cloudant. Be sure to read the ... [more]


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Data Integration in the Big Data World Using IBM InfoSphere Information Server
Analytics

Solution Guide, published 29 Mar 2015

An Apache Hadoop infrastructure offers great promise for drastically reducing the costs of storing and processing large data volumes and increasing ROI. However, Hadoop cannot deliver the opportunities by using only its infrastructure. Success with Hadoop requires effectively managing data movement, data transformation and integration, data cleansing, data governance, data security, data privacy, and data analytics and reports. Many organizations are considering implementing a data lake solution. This is a set of one or more data repositories that have been created to support data discovery, ... [more]


The above is a list of IBM Redbooks and Redpapers on Information Management, showing most recently published first. Most of these publications are available in Adobe PDF format and may be viewed online or downloaded for offline viewing and printing. Read our How to buy page for details on how to order a bound hardcopy.



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