Discover the origins of big data, discuss exiting and new projects, share common use cases for those projects, and explain how you can modernize your architecture using data analytics, data operations, data engineering and data science.
Big Data Fundamentals is your prerequisite to building a modern platform for machine learning and analytics optimized for the cloud.
Stretch your brain with a packed agenda:
Dave Brown has been a Sales Engineer for 20 years, selling data platforms for GemStone, Oracle, the EMC federation and for 2 years with Cloudera. He lives a Rottweiler-centric life with his sales engineer wife. He is an empty-nester father of 4 sons, none of who learned to program computers. Dave has recently been granted his Account Manager wings and has moved to the dark side.
Camila Hiskey is a Senior Systems Engineer at Cloudera. A hands-on technologist, she architects enterprise data solutions primarily for large financial services and life sciences organizations. Camila helps educate IT & business teams on Hadoop, open source software and big data. Prior to Cloudera, she worked with operational data stores and analytical databases at IBM, as an engineer and DBA.
Alan Sanie is a System Engineer at Cloudera where he works with customers in the Mid Atlantic region on successfully adopting and implementing Big Data and Hadoop based technologies. Prior to joining Cloudera Alan worked in various technical management roles at IBM Software Group in different groups including Raitonal, Middleware and Watson IoT.