THINK BIG WEBINARS

The Magic of Presto: Petabyte Scale SQL Queries in Seconds

Date: February 25, 2016
Time: 10am PST, 1pm EST

 

In this webinar, two early commercial adopters of Presto – Teradata and Treasure Data – will give a technical overview of Presto, covering the following topics:

  1. What makes Presto a great choice for SQL-on-Hadoop, and how is it different from others?
  2. Presto’s internals, including the principles behind its design
  3. In-production use cases, both cloud and on-premises
  4. How to get started on Presto

Best Practices for Data Lake – Who’s Using It and How Can You Get the Most Value From It?

Date: February 24, 2016
Time: 10am PST, 1pm EST

 

Data lakes are a hot topic, but beyond the hype it’s important to discover answers to who’s actually using them and if they are creating value. To understand the adoption and maturity of Data Lakes, Attunity, Hortonworks, and Teradata sponsored research to uncover key trends. The research surveyed 385 IT practitioners and stakeholders at organizations across industries and focused on key areas of concern and interest in Data Lake adoption.

Are You Ready for Hadoop? Introducing the TDWI Hadoop Readiness Assessment

Date: February 11, 2016
Time: 9am PST, 12pm EST

 

A recent TDWI survey shows that Hadoop clusters in production are up 60 percent over two years. This is no surprise because use cases for Hadoop in data warehousing, business intelligence, and analytics are well established. In addition, applications of Hadoop for archiving, content management, and operational applications are emerging into prominence. These developments show that Hadoop usage is diversifying broadly across and within mainstream enterprises, such that Hadoop will eventually be a common platform for many purposes in many IT portfolios.

How to Create a High Impact Data-Driven Culture

Date: January 21, 2016

 

Join Ron Bodkin, President of Think Big, a Teradata company in this informative webinar where you will learn:

  1. The five steps in becoming a data-driven culture
  2. Methods to gain C-suite buy-in for your analytics program
  3. How to assemble a cross-functional team for analytics
  4. Ways to create a culture of analytic entrepreneurship
  5. Industry examples of companies successfully balancing data and intuition

Mike Portell – Kick Starting Your Big Data Journey with Hadoop

Date: October 7, 2015

 

As utilities dabble with Hadoop and other big data technologies, they inevitably face questions such as where open source fits, understanding myriad use cases, analyzing ways in which Hadoop can drive business value, deciding on a comprehensive architecture, and building a roadmap for future big data investments. This on-demand webinar discusses how to overcome big data challenges typically encountered by utility and other energy companies.

Philip Russom – Igniting Analytics with Apache Spark

Date: September 24, 2015

 

Interest in Apache Spark is quickly rising as word spreads about the number of advantages it offers over Hadoop MapReduce—including the potential for up to 100x faster in-memory operations—while also aligning with the needs of enterprises users and IT organizations. Join TDWI’s Philip Russom and Think Big’s Brent Wenerstrom in this webinar to learn about some of the many advantages Apache Spark offers.

Bill Kornfeld – When is the right time for real-time? Architectural best practices for Hadoop

Date: August 20, 2015

 

Real-time processing is an important part of your Hadoop architecture, but is it always the best approach to analytics? Join us for our latest DSC Webinar with experts from MapR and Think Big, as we delve into the decision making process around Hadoop real-time and batch processes. You will learn the ins and outs of low-latency design for analytics, as well as see how these designs get implemented in the real world.

Madina Kassengaliyeva – Adding Hadoop to your Analytics Mix: Overcoming Challenges and Strategies for Success

Date: July 28, 2015

 

Hadoop opens up a wide range of possibilities by allowing for the application of various analytic techniques to new data types. However, despite its many benefits, adding Hadoop as an analytics platform to an existing environment can pose several key challenges. Join us as big data expert Madina Kassengaliyeva from Think Big reviews strategies to expanding analytics on Hadoop.

Ron Bodkin – The Maturity Model: Taking the growing Pains out of Hadoop

Date: June 16, 2015

 

Hadoop is arguably one of the most disruptive technologies of the last decade. Hadoop has evolved into much more than a file system and batch processor, and it now promises to stand as the data management and analytics backbone for enterprises.  In this webinar Ron Bodkin explores Hadoop’s maturity spectrum, from typical entry use cases all the way up the value chain. Ron will show you how enterprises that already use Hadoop in production are finding new ways to exploit its power and build creative, dynamic analytics environments.

Mike Portell – Big Data and Hadoop: Moving From Strategy to Production

Date: April 16, 2015

 

This webinar, led by Mike Portell, examines a big data maturity model to see how and why some clients get stranded in one phase or another. The webinar also covers common pitfalls associated with moving beyond the installation of a Hadoop cluster to a full production environment accessible by hundreds of users. You’ll also learn how several companies are overcoming challenges going beyond a big data strategy “on paper” to completing the full big data lifecycle.

Rick Stellwagen – The Great Data Lakes: How to Approach a Big Data Implementation

Date: April 7, 2015

 

Veteran Analyst Dr. Robin Bloor explains the organizations who endeavor on Big Data projects. He is briefed by Rick Stellwagen of Think Big, a Teradata Company, who outlines his company’s approach to handling Big Data implementations. Rick discusses the role of the data lake, and how timely response of queries is critical for reporting and analysis.

Dan Mallinger and Rick Stellwagen – Data Lakes, Reservoirs, and Swamps: A Data Science and Engineering Perspective

Date: March 24, 2015

 

In the fast paced and ever changing landscape of Hadoop based lakes, there tends to be varying definitions of what constitutes a data lake and how they should be used for business benefit—especially in leveraging data science. In today’s webinar, Think Big will share their perspective on Hadoop data lakes from their many consulting engagements.