Spark alongside other resources you have available in your Hadoop clusters.

At Connectikpeople.co we are very excited about tailored skills needed to integrate Spark more easily into Hadoop environments. Spark continues to grow in popularity and is on encouraging curve to fully replace MapReduce.

Henceforth developers, analysts, companies and data scientists have to integrate this reality working inter alia with the most popular open source standards, including: Spark, Apache Hive, Impala, Apache Sqoop, and Apache Flume, as well as advanced topics including Spark Streaming, Apache Kafka and Apache Solr.

For informational purpose only, Connectikpeople.co recalls that Cloudera is offering multiple paths of learning and certification (Spark training) including: Developer Training for Spark and Hadoop I | Developer Training for Spark and Hadoop II: Advanced Techniques; Data Science at Scale with Spark and Hadoop.