Tactical Data Warehouse Development Reports

MicroScope – March 2022: Taking the steady approach to becoming an MSP
sponsored by MicroScope
EZINE: In this issue, take a closer look at the risks and pitfalls on the journey to becoming a manages services provider, read about expected ongoing change and consolidation in the year ahead, and discover what experts have to say on the skills and supply chain shortages
Posted: 03 Mar 2022 | Published: 04 Mar 2022

MicroScope

A New Dimension to Data Warehousing: 2011 IOUG Data Warehousing Survey
sponsored by Oracle Corporation
WHITE PAPER: A recent IOUG survey discovered that while most organizations have a well-established data warehouse, acceptance within their companies is still limited. Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".
Posted: 29 Jun 2012 | Published: 07 Sep 2011

Oracle Corporation

Presentation Transcript: Offloading Your Oracle Analytics for Improved Performance
sponsored by ParAccel
PRESENTATION TRANSCRIPT: Read this presentation transcript to learn how an analytic offload from the warehouse onto an analytical platform can extend the life of your existing data warehouse by up to two years and result in accelerated analytic performance, improved price performance, reduction in database administration and lower storage requirements.
Posted: 13 Dec 2012 | Published: 13 Dec 2012

ParAccel

Big Data Poses Weighty Challenges for Data Integration Best Practices
sponsored by TechTarget Data Management
EBOOK: Organizations that deploy big data platforms are finding that they also need an upgraded data integration framework to meet rising demands. In this expert handbook, uncover advice on how to navigate the demands of big data architectures, high volume data warehousing, and data lakes by updating your data integration strategy.
Posted: 15 Mar 2017 | Published: 28 Mar 2017

TechTarget Data Management

Presentation Transcript: Big Data and Data Warehousing
sponsored by SAP America, Inc.
PRESENTATION TRANSCRIPT: Wayne Eckerson introduces big data and the issues involved in warehousing it as well as an overview of data warehouse architectures for storing big data.
Posted: 02 Nov 2011 | Published: 02 Nov 2011

SAP America, Inc.

Apache Hadoop* Framework Spotlight: Apache Hive*
sponsored by Intel
WHITE PAPER: This brief resource examines the true value of Apache Hive, a SQL engine for the Apache Hadoop framework. Inside, learn how Hive's facilities for data and metadata management are impacting the existing warehouse infrastructure and driving business success.
Posted: 29 May 2013 | Published: 31 Mar 2013

Intel

The fast lane to insight: Accelerating analytics from the department to the enterprise
sponsored by IBM
WHITE PAPER: This resource explores the limitations and challenges of existing data warehousing tools, and introduces a data warehouse strategy that can help you accelerate analytics and drive business success.
Posted: 28 Oct 2013 | Published: 30 Apr 2013

IBM

Own your process, own your information, own your business with SOA
sponsored by IBM
WHITE PAPER: This white paper details why building in business process management, information management and SOA governance across the enterprise is critical to SOA success. It also presents real-world examples of IBM customers that have done so and are now reaping the benefits of SOA, including service reuse, business agility and business transformation.
Posted: 07 Jul 2011 | Published: 01 Dec 2010

IBM

Deliver Better Results Across the Data Management Lifecycle: HP AppSystem for Microsoft SQL Server 2012 Parallel Data Warehouse
sponsored by HP Inc
WHITE PAPER: The following whitepaper outlines the important steps to consider when implementing a diversified data management strategy.
Posted: 18 Oct 2013 | Published: 18 Oct 2013

HP Inc

The Future of Data Warehousing Infrastructure and Architectures
sponsored by IBM
EGUIDE: This e-guide examines how a shift from traditional data warehousing (DW) appliances to an infrastructure that combines traditional DWs with big data technologies offers new opportunities for businesses to address needs such as costs, flexibility and agility while eliminating key technology silos.
Posted: 13 Jul 2016 | Published: 11 Jul 2016

IBM