Data Cleansing Software Reports

The Case for Log Management Warehousing – An ESG Analyst Brief
sponsored by Hewlett Packard Enterprise
ANALYST BRIEF: As log management and analysis needs evolve, legacy products can’t scale, accommodate uncommon log file formats, or provide the right level of real-time or historical analysis. These requirements are driving a transition to a new model called log management warehousing.
Posted: 23 Mar 2010 | Published: 23 Mar 2010

Hewlett Packard Enterprise

Apache Hadoop* Framework Spotlight: Apache Hive* Podcast
sponsored by Intel
PODCAST: In this podcast, learn how Apache Hive is impacting the Hadoop community. Discover Hive's components and capabilities, whether Hive is a viable substitute for the existing warehouse infrastructure, the limitations of this tool, and more.
Posted: 30 May 2013 | Premiered: May 30, 2013

Intel

Data Warehousing as a Service
sponsored by Kognitio
WHITE PAPER: This concise case study outlines how they chose to leverage a Data warehousing as a Service (DaaS), allowing their pricing analysts to have access to a live analytical database, reports, and a team of experienced consultants who understand their business requirements.
Posted: 11 Jun 2013 | Published: 11 Jun 2013

Kognitio

Automated Business Intelligence: Delivering Real Business Value, Quickly, Easily, and Affordably
sponsored by Birst
WHITE PAPER: This White Paper explores how traditional approaches fall short, what the automated solution and its benefits look like, how the on-demand delivery model best represents the integrated stack necessary for automation, and how the automated, on-demand model brings the benefits of BI to a far broader audience than ever before.
Posted: 19 Jun 2009 | Published: 19 Jun 2009

Birst

Presentation Transcript: Turning Data Into Insights: Make Your Data Smarter
sponsored by TechTarget Cloud Computing
TRANSCRIPT: Access this presentation transcript to learn about an integrated data warehouse tool that can help you turn data into insight. Learn how you can bring together the disparate data within your organization and analyze it in order to fully leverage it to its full potential.
Posted: 18 Jul 2013 | Published: 18 Jul 2013

TechTarget Cloud Computing

Oracle Introduces Oracle Communications Data Model
sponsored by Oracle Corporation
PODCAST: Listen to this podcast to hear Tony Velcich, from Oracle’s Communications Product Management team, discuss the benefits of this solution.
Posted: 01 Oct 2010 | Premiered: Oct 1, 2010

Oracle Corporation

Accelerating Big Data 2.0 Webinar
sponsored by Actian Corporation
WEBCAST: View the following webcast to uncover what you need to know about big data 2.0. Uncover the 6 building blocks of big data 2.0 that drastically differentiate from big data 1.0. Also gain insights to the ways successful organizations are leveraging new analytics to capitalize on big data 2.0 and much more.
Posted: 07 Apr 2014 | Premiered: Apr 7, 2014

Actian Corporation

3 Must-Have Capabilities for Today's Warehouse Environments
sponsored by IBM
WHITE PAPER: You need to be able to store and analyze data as quickly as it's pouring into your business -- and that's pretty fast. Unfortunately, traditional data warehousing technologies aren't often up to the task. View this informative resource to get an in-depth look at three must-have capabilities for effective modern data warehouses.
Posted: 11 Dec 2013 | Published: 31 May 2013

IBM

HP Enterprise Data Warehouse Appliance Optimized for SQL Server 2008 R2 Parallel Data Warehouse
sponsored by HP and Microsoft
ANALYST BRIEF: Read this solution brief for five key benefits of incorporating the Microsoft application platform and HP Converged Infrastructure.
Posted: 22 Apr 2011 | Published: 22 Apr 2011

HP and Microsoft

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