TRAINING SHEET
Developer Training for
Apache Spark and Hadoop
Take your knowledge to the next level
This four-day hands-on training course delivers the key concepts and expertise participants
need to ingest and process data on a Hadoop cluster using the most up-to-date tools and
techniques. Employing Hadoop ecosystem projects such as Spark (including Spark Streaming
and Spark SQL), Flume, Kafka, and Sqoop, this training course is the best preparation for
the real-world challenges faced by Hadoop developers. With Spark, developers can write
sophisticated parallel applications to execute faster decisions, better decisions, and interactive
actions, applied to a wide variety of use cases, architectures, and industries.
Get hands-on experience
Through expert-led discussion and interactive, hands-on exercises, participants will learn
how to:
• Distribute, store, and process data in a Hadoop cluster
• Write, configure, and deploy Apache Spark applications on a Hadoop cluster
• Use the Spark shell for interactive data analysis
• Process and query structured data using Spark SQL
• Use Spark Streaming to process a live data stream
• Use Flume and Kafka to ingest data for Spark Streaming
What to expect
This course is designed for developers and engineers who have programming experience,
but prior knowledge of Hadoop is not required
• Apache Spark examples and hands-on exercises are presented in Scala and Python.
The ability to program in one of those languages is required
• Basic familiarity with the Linux command line is assumed
• Basic knowledge of SQL is helpful
Get certified
Upon completion of the course, attendees are encouraged to continue their study and register
for the CCA Spark and Hadoop Developer exam. Certification is a great dierentiator. It helps
establish you as a leader in the field, providing employers and customers with tangible
evidence of your skills and expertise.
“ Cloudera has not only prepared
us for success today, but has
also trained us to face and
prevail over our big data
challenges in the future
by using Hadoop.”
Persado
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