By using website you agree to our use of cookies as described in our cookie policy. Learn More


Available On-Demand - This webinar has been recorded and is now available for download.

Eight Considerations for Utilizing Big Data Analytics with Hadoop

TDWI Speakers: Fern Halper, TDWI Research Director

Date: Thursday, April 17, 2014

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

Webinar Abstract

As companies seek to gain competitive advantage by utilizing analytics, a change is occurring in terms of the data and infrastructure that supports it. A number of technology factors—including big data, Hadoop, and advances in analytics—are coming together to form the fabric of an evolving analytics ecosystem. Advanced analytics, in particular, are becoming more important as companies embrace big data. This includes techniques such as advanced visualization and machine learning that can be particularly beneficial in big data discovery and analysis. 

This Webinar will provide an overview of how big data, Hadoop, and analytics can be used together to support big data analytics. It will also address how in-memory distributed processing can help to handle the iterative processing that is so important to analytics with big data. Finally, it will address what this all means for the analytics life cycle and processes.

You will learn:

  • An overview of the evolving big data ecosystem
  • The importance of advanced analytics for big data 
  • How in-memory analytics and Hadoop can work together 
  • Best practices for getting started with big data analytics

Fern Halper, Ph.D.

Your e-mail address is used to communicate with you about your registration, related products and services, and offers from select vendors. Refer to our Privacy Policy for additional information.

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.