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- Please check out the Text Analytics Summit, Boston, June 12-13
from Blog: Seth Grimes - Real World Data Governance Webinar: Data Governance, Big Data and The Cloud
from Blog: Robert S. Seiner - What influences acceptance of decision support technologies?
from Blog: Dan Power - Start Small: Single Version of the Definition
from Blog: Bin Jiang
ARTICLES
- Advanced Analytics, Big Data and the Power of R: A Q&A Spotlight with David Rich, CEO of Revolution Analytics Summary
David Rich, CEO of Revolution Analytics, is interviewed by Ron Powell. They discuss how Revolution Analytics provides the "rules, tools and school" to enable enterprises to gain the analytic power required for analyzing big data.
by Ron Powell - Public Policy and π Summary
Dr. Ramon Barquin explains how π and analytics are related, and encourages us to celebrate March 14 – National Pi Day.
by Dr. Ramon Barquin - Hadoop Education is Vital to Big Data Analysis Summary
Alex Buttery is a guest contributor to Richard Herschel's Education Channel. In this article, he describes the rapidly growing need for skilled individuals in big data analysis and emphasizes that the best way to develop these skills is through higher education - if universities would only supply the necessary classes.
by Alex Buttery - The Benefits of Commercial Analytics for Pharma: A Q&A with Peter Harbin of IMS Health Summary
In this Spotlight, Ron Powell talks with Peter Harbin, senior principal at IMS Health, about analytics for the pharma industry. Peter details the changes that pharma companies are experiencing and explains the business benefits of analytics that provide actionable intelligence.
by Ron Powell - The Top Myths of Predictive Analytics Summary
Piyanka Jain dispels the top five myths of predictive analytics and explains how avoiding them can help your organization make better business decisions.
by Piyanka Jain, CEO of Aryng - Is Inmon's Data Warehouse Definition Still Accurate? Summary
Ben Jiang examines Bill Inmon's definition of data warehouse to see if it is still accurate for data warehousing today.
by Bin Jiang, Ph.D. - Big Data, Text and Relational Database Management Systems Summary
Bill Inmon explains why textual ETL is necessary in the big data environment in order to make textual data fit for analytical processing.
by Bill Inmon - Workload-Driven Data Warehousing Summary
Krish Krishnan breaks down the types of workloads in a standard data warehouse and then explains how isolating workloads helps you leverage the infrastructure.
by Krish Krishnan
Spotlights
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Wayne Eckerson & the BeyeNetwork
TechTarget Editorial Content
Editors' Picks:
- To glean value from ‘big data’ projects, it may take more than Hadoop Summary
Organizations will have to push beyond storage requirements and basic business intelligence tools to exploit big data, according to a Gartner analyst. - Bank of America IT exec: EIM drivers key to shaping project plans Summary
Enterprise information management programs should be molded around clear business objectives, says a senior information architect at Bank of America. - In-memory database caching helps AltEgo bring online avatars to life Summary
In-memory database caching technology is helping gamers take charge of their online identities.
Most Recent Resources:
- People, process issues offer path to improve data quality on the cheap Summary
An emphasis on educating end users and upgrading internal processes can help enterprises fix data quality problems without dropping a ton of cash, according to analysts.
Source: SearchDataManagement.com - SAP builds the case for HANA in-memory bench with new apps, customers Summary
After talking up its mobile and cloud road maps, SAP chose last day of the SapphireNow conference to talk about the third part of the equation it's basing its future success on: HANA, and in-memory technology.
Source: SearchSAP.com - Three new T-SQL commands in SQL Server 2012 to make your life easier Summary
Each release of SQL Server brings changes to Transact SQL. In this tip, expert Serdar Yegulalp gives a walkthrough of tweaks like WITH RESULT SETS for renaming columns and THROW for catching errors.
Source: SearchSQLServer.com
Events
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Read this research report, from Wayne Eckerson to learn the latest about in-memory analysis, recent changes in the BI market and the future of BI technologies.
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