Big Data and Spark Developers Bootcamp

Overview

This 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.
Hands-On Hadoop Through instructor-led discussion and interactive, hands-on exercises, participants will learn Apache Spark and how it integrates with the entire Hadoop ecosystem, including:

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

Audience & Prerequisites

This course is designed for developers and engineers who have programming experience. Apache Spark examples and hands-on exercises are presented in Scala and Python, so 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; prior knowledge of Hadoop is not required.

Certification
CCA Spark and Hadoop Developer Exam (CCA175)

After course Completion:
After successful training can apply for Data Analyst , Big data and Hadoop developers , Data science Expert and Data Scientist. Highly paid job in the IT market.

Training Dates: June/July 2017
Duration: 10-13 days
Contact: 017-2055591
Price: RM4750