Tactical Data Warehouse Development Reports

MicroScope – July 2022: The slow march to Windows 11
sponsored by MicroScope
EZINE: It's taken a while, but the latest Microsoft OS is having an impact – read all about the journey to Windows 11, as well as the uptake of co-innovation and co-creation strategies in the channel, and Broadcom's acquisition of VMware
Posted: 30 Jun 2022 | Published: 01 Jul 2022

MicroScope

E-Guide: Building an Effective BI Strategy
sponsored by Dell EMC and Microsoft
EGUIDE: This e-guide discusses how to effectively take advantage of business intelligence (BI) technologies in your organization by utilizing essential tactics. Discover the benefits of data warehousing appliance technologies and how to select the best one for your needs.
Posted: 28 Jun 2012 | Published: 28 Jun 2012

Dell EMC and Microsoft

Comparison: IBM Netezza Data Warehouse Appliance vs. Oracle Exadata
sponsored by IBM
WHITE PAPER: This white paper offers up a comprehensive comparison of the Oracle Exadata and IBM Netezza data warehouse appliance, helping you decide which is the better fit for your business. Read this now and learn how they stack up in terms of online transaction processing (OLTP), query performance, simplicity of operation, value and more.
Posted: 30 May 2012 | Published: 18 Jan 2012

IBM

Can Data Warehousing Survive Big Data
sponsored by Arrow and HP
PRESENTATION TRANSCRIPT: This webinar transcript discusses the changes in data and data management because of the explosion of big data. One of the major questions discussed in the webinar is "Will data warehouses survive much longer?"
Posted: 06 Oct 2011 | Published: 06 Oct 2011

Arrow and HP

Expert tips, predictions and best practices for big data technology
sponsored by MarkLogic
EGUIDE: In this E-Guide, readers will learn the challenges big data poses for traditional analytics approaches, and best practices for success with this still emerging discipline.
Posted: 14 Mar 2012 | Published: 14 Mar 2012

MarkLogic

E-Book: Big-Data Analytics Explained: Current Trends, Technologies, and Issues
sponsored by Hewlett Packard Enterprise
EBOOK: This e-book, designed for IT, BI and analytics professionals as well as business executives, provides readers with a comprehensive understanding of big-data analytics trends, technologies and challenges. Receive real-world insight and advice on developing, implementing and managing a big-data analytics program for your organization.
Posted: 15 Nov 2011 | Published: 15 Nov 2011

Hewlett Packard Enterprise

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

Mastering SAP HANA Data Modeling for Maximum Performance
sponsored by HP and CenturyLink Technology Solutions
EGUIDE: SAP HANA offers new levels of data modeling that exceeds what's possible with traditional relational database management systems (RDBMS). While data is still stored in tables, how the storage model is designed differs greatly from traditional RDBMS, resulting in better compression and faster reads.
Posted: 26 Nov 2013 | Published: 26 Nov 2013

HP and CenturyLink Technology Solutions

Case Study: Hy-Vee Boosts Performance, Speeds Data Delivery, and Increases Competitiveness
sponsored by HP Inc
CASE STUDY: In this case study, discover how Hy-Vee, a growing grocery store chain, implemented a new data warehouse in order to give their employees faster access to customer purchasing data, and learn the benefits they currently experience from this technology.
Posted: 29 Oct 2013 | Published: 31 May 2013

HP Inc

Data Warehousing Is Improved By Integrating Big Data Capabilities
sponsored by IBM
EGUIDE: Both big data and data warehousing systems experience increased performance when they work together. In this expert e-guide, uncover the importance of data warehouses' storage and organization abilities, and learn how they can be combined with the increased analytics power of big data systems to provide improved insights.
Posted: 20 Oct 2016 | Published: 20 Oct 2016

IBM