Abstract: Learn why the truly open source HPCC Systems platform is better at Big Data and offers an end-to-end solution for Developers and Data Scientists. Learn how ECL can empower you to build powerful data queries with ease. HPCC Systems, a comprehensive and dedicated data lake platform makes combining different types of data easier and faster than competing platforms — even data stored in massive, mixed schema data lakes — and it scales very quickly as your data needs grow. Topics include HPCC Architecture, Embedded Languages and external datastores, Machine Learning Library, Visualization, Application Security and more.
Bio: Bob Foreman has worked with LexisNexis and the open source big data HPCC Systems technology platform and the ECL programming language for more than 9 years, and has been a technical trainer for over 25 years. He is the developer and designer of the HPCC Systems Online Training Courses, and is the Senior Instructor for all classroom and remote training. This includes: Introduction to ECL (Part 1 and 2) - Concepts and Queries, the Extract, Transform and Load (ETL) Process, Advanced ECL (Part 1 and 2) - Working with Relational Data, Super files, Working with XML, and Free-form Text Parsing, ROXIE ECL - Indexes and Queries, Complex Query Development, and Applied ECL – ECL Code Generation Tools. He has over 30 years of industry experience in training, consulting, and technical writing with RDBMS platforms and most recently Big Data. Bob earned his A.S. in Electronic Engineering and was a Cryptologic Technician in US Navy for 5 years.
Senior Software Engineer | LexisNexis Risk Solutions