Internet of Complex Things Ad-hoc Analytics with Apache Cassandra and Apache Spark
Learn how Apache Cassandra can be paired with Apache Spark to build a powerful OLAP solution for analyzing large scale operational data from Internet of Complex Things. Cassandra provides a scalable, flexible, and highly available data store. Spark provides a fast and scalable analytics framework. The two can be combined to build a powerful and flexible solution for analyzing IoT data. We will discuss what kind of analytics Cassandra can handle by itself and when Spark is required. We will also share some of the challenges and tradeoffs that are important to know.
Mohammed Guller is the author of "Big Data Analytics with Spark." He is the principal architect at Glassbeam, where he leads the development of advanced and predictive analytics products. He is a big data and Spark expert. He is frequently invited to speak at big data–related conferences. He is passionate about building new products, big data analytics,
and machine learning.
Over the last 20 years, Mohammed has successfully led the development of several innovative technology products from concept to release. Prior to joining Glassbeam, he was the founder of TrustRecs.com, which he started after working at IBM for five years. Before IBM, he worked in a number of hi-tech start-ups, leading new product development.
Mohammed has a master’s of business administration from the University of California, Berkeley, and a master’s of computer applications from RCC, Gujarat University, India.
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