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- Fujio Turner, Solutions Architect, Couchbase
Mobile/IoT and HPCC Systems
Fujio will discuss the challenges around IoT and address the following questions:- As there are more mobile and embedded devices all generating more data, what does that mean now and for the future?
- What has to change in an organization's infrastructure to keep up?
- How can I best take advantage of this new stream of information?
- Jacob Pellock, Sr Director Software Engineering, LexisNexis Risk Solutions Group
Operationalising jobs on Thor utilising Python, Git and HPCC Systems client tools - Part 1
So you've setup your HPCC Systems cluster and written your ECL code. Now you want to take the ECL you've written into production.- Find out about the technologies we've leveraged in bringing our LexisNexis data warehouse into production.
- Find out about the technologies we've leveraged in bringing our LexisNexis data warehouse into production.
- Roger Dev, Sr Architect, LexisNexis Risk Solutions Group
Basic Linear Algebra Subsystem (BLAS) and Parallel Block BLAS (PBBlas) libraries for HPCC Systems
Manipulation of matrix data via Linear Algebra operations lies at the heart of many data-mining and machine learning techniques. New modules for HPCC systems provide highly scalable and performant implementations of these operations. BLAS provides an industry standardardized set of highly optimized linear algebra operations. PBBlas extends these operations to mega-scale, splitting the operations into parallelizable units that can be balanced across an HPCC Systems cluster.- Introduction to BLAS
- The techniques and features of PBBlas
- Overview of the PBBlas interface
- Richard Taylor, Chief Trainer, HPCC Systems
Updates and deep dives on cool code
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