Apache Spark is a parallel processing engine for big data that achieves high speed and low latency by leveraging in-memory computing and cyclic data flows. Benchmarks show Spark to be up to 100 times faster than Hadoop MapReduce with in-memory operations and 10 times fast with disk-bound ones. High performance aside, interest in Spark is rising rapidly because it offers a number of other advantages over Hadoop MapReduce, while also aligning with the needs of enterprise users and IT organizations.
This Webinar will discuss a number of those advantages:
This Webinar will also contemplate Spark’s role today and in the future, including the following:
Think Big, a Teradata company
Individual, Student, & Team memberships available.