Think Big Events & Webinars
Sharing insight into the industry's hottest topics
Date: October 22-26 2017
Date: Anaheim Convention Centre - Anaheim, California
Teradata Partners is the premier, customer-led global data conference. For five solid days, thousands of business and technology leaders learn and share the latest strategies and tactics for optimizing their company’s use of data. Join us as we host the world’s most advanced data and analytics experts in sunny California.
Date: 14 June, 2016
Time: 10am PST
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 a myriad of 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.
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.
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 the 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.
Date: March 22, 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 some 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.
Date: March 1, 2016
Time: 11am CST
Apache Spark is gaining praise for its performance and versatility in experimentation and analytics pilot projects. However, integrating this cutting edge technology into your broader analytics ecosystem brings new challenges such as architectural-fit, skill set development, adoption, and measurement of business benefits.
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:
Date: February 24, 2016
Time: 10 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.
Date: February 11, 2016
Time: 9am PST, 12pm EST
A recent TDWI survey shows that clusters in production are up to 60% in 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 the 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.
Date: January 21, 2016
Ron Bodkin talks about:
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.
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 enterprise 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.
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 processes. You will learn the ins and outs of low-latency design for analytics, as well as how these designs get implemented in the real world.