TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Hadoop Best Practices for Data Warehousing and Analytics

TDWI Speaker: Philip Russom, TDWI Research Director

Date: Tuesday, November 5, 2013

Time: 9:00am PT, 12:00pm ET

Webinar Abstract

According to a 2012 TDWI survey about Hadoop, only 10 percent of respondents have the Hadoop Distributed File System (HDFS) in production today, while a whopping 63 percent expect to deploy HDFS within three years. The survey reveals that user organizations are aggressively adopting HDFS and other Hadoop technologies for data warehousing, analytics, and other purposes. Organizations in this situation are completely new to this technology, so they need to educate themselves quickly about the best practices that are now emerging for Hadoop, especially in the context of data warehousing and analytics.

This Webinar is a panel discussion moderated by TDWI’s Philip Russom, with experts on the panel from SAP and Syncsort. We will begin by defining the rapidly evolving Hadoop ecosystem, including open source products, vendor distributions, and support for Hadoop in a variety of vendor tools. In the meat of the Webinar, the panel will discuss a checklist of best practices for Hadoop, with a focus on use cases in data warehousing and analytics. The discussion of best practices can help users make sustainable decisions as they plan their first deployments of HDFS clusters and other Hadoop technologies.

Those who register to attend the Webinar will receive a copy of the TDWI Checklist Report: Hadoop Best Practices for Data Warehousing and Analytics.

You will learn:

• Which products in the Hadoop family are most conducive to data warehousing and analytics 
• Combinations of products from the Hadoop family and software vendors that are being used successfully today for warehousing and analyzing 
• Numerous tips for getting started with an implementation of Hadoop, integrating Hadoop with other platforms, and aligning Hadoop implementations to business goals 

Philip Russom, Ph.D.

Sponsored by SAP, Precisely