Get Your Data Lake Right the First Time

Date: June 14, 2016
Time: 10am PT


No one starts a data lake implementation with the intention to fail. However, one analyst firm estimates 90% of all data lake implementations will end up “useless.” While there are myriad reasons why data lake implementations fail, surprisingly few are a result of technology choices. Instead, organizational constructs and accompanying data silos are to blame, alongside the common misperception that legacy system design patterns can be directly ported over to Hadoop.

Continuous Applications: Spark, Kafka, Beam and Beyond

Date: March 24, 2016
Time: 10am PST


As big data applications achieve broader adoption and as emphasis increases on real-time capabilities, streaming concepts like watermarks and triggers affect application requirements and design. In addition to the venerable Lambda Architecture, emerging systems like Apache Flink, Kafka, Apache Beam and Spark 2.0’s upcoming Structured Streaming offer new ways to provide more principled implementations of continuous applications. These systems hold promise for applications where the analytics can be pre-computed, often involving simple aggregations and specialized “checkpoint” models of application state. In general, these systems are based on low-level programming primitives.

The Evolution of Big Data and Security

Date: March 22, 2016
Time: 1pm ET


Join us on March 22 as our panel of Big Data and data security industry experts share their insights on the essential and emerging new aspects of Big Data. In this webinar, learn the technologies and strategies being employed to address the challenges and risks associated with Big Data “lakes” and analytics, including the delicate balance between data access, performance and scalability vs. privacy and security. Find out which skills, tools and best practices are required for successful and secure Big Data deployments and operation.

Hadoop With The Best – Online Conference for Developers

Date: March 12, 2016
Time: 10am-6pm PST


The Key to Unlocking the Value in the Internet of Things? Managing the Data!


One of the most exciting areas for applying Hadoop technologies is the rapid growth of data from smart, connected products. We draw from experience in managing data from diverse domains including cell phones, fitness trackers, connected cars, enterprise high tech, and medical devices. While there are many differences, there are common patterns in working with complex configuration data, mining intelligence about product usage and predicting failures from logs and tracking time series of sensor data. We discuss the role of batch and streaming analytics and how organizations can collect and trust these data sets to make better decisions and to drive real-time business processes.


This virtual conference features keynotes from industry leaders in big data. Think Big president, Ron Bodkin, will present from 1pm-2pm. Register at the link below.

Introducing Apache Spark into Your Big Data Architecture

Date: March 1, 2016
Time: 11am CST


Apache Spark is gaining praise for its performance and versatility in experimentation and analytic pilot projects. However, integrating this cutting edge technology into your broader analytic ecosystem brings new challenges such architectural-fit, skill set development, adoption, and measurement of business benefits.

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.

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.