The Cloudera Developer Training for Spark and Hadoop in Hyderabad provides a good boost to the career of Big Data developers. This Cloudera Developer Training for Spark and Hadoop in Pune is the most in-demand as companies move towards Big Data. The Cloudera Developer Training for Spark and Hadoop in Chennai provides technical roles to qualified and certified people that are highly-compensated.
It is a four-days hands-on training that provides the key concepts to expert developers on the use of Apache Spark. This knowledge of Apache Spark helps them to develop parallel applications that are high-performance by using Spark Streaming to conduct real-time processing from a variety of sources that stream data and use Spark SQL to query structured data.
This training also helps developers use core Spark to write applications and to perform ETL processing and iterative algorithms. The course covers all aspects of executing Spark applications on a Hadoop cluster and working with big data that is stored in any kind of distributed file system. This course helps prepare participants to be prepared for any real-world challenges they may face and be able to build applications to execute better and faster decisions, gain interactive analysis, and apply this knowledge to a wide array of cases, industries, and architectures.
This course is designed for engineers and developers who have a few years of programming experience. Though prior knowledge of Hadoop and Spark is not required for the course as it is taught through examples and hands-on exercises presented through Python and Scala. Basic familiarity of the Linux command line is assumed and an ability to program in a suitable language is preferred. Basic knowledge of SQL is helpful for one to understand this course better.
The course teaches the Apache Hadoop ecosystem and how it fits in with the data processing lifecycle, the ways data is stored, distributed, and processed in the Hadoop cluster, and using the Spark shell and other Spark applications to process, explore, and analyze distributed data. The course also covers the configuration, deployment, and writing Apache Spark applications in a Hadoop cluster. It teaches ways to query data through DataFrames, Datasets, and Spark SQL, and the use of Spark Streaming to process live data streams.
The certification examination consists of 8 to 12 performance-based questions and none of them are of the MCQ format. The questions are based on the Cloudera Enterprise cluster and the passing score is 70%. The examination is of 120 minutes and is available only in English.
The completion of the Cloudera Developer Training for Spark and Hadoop in Hyderabad allows attendees to continue their study by registering for the CCA Spark and Hadoop developer examination. This certification gained after the Cloudera Developer Training for Spark and Hadoop in Pune is a necessary differentiator in the field. The Cloudera Developer Training for Spark and Hadoop in Chennai helps establish one through gaining this certification that establishes one as a leader in the field and provides customers and employers tangible evidence of your expertise and skills.
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