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Data engineering, data warehousing, machine learning and analytics, all of this is made easier by Cloudera. Xebia Academy provides the best Cloudera developer training in Bangalore.
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Discover the Best Cloudera Developer Training Data engineering, data warehousing, machine learning and analytics, all of this is made easier by Cloudera. Xebia Academy provides the best Cloudera developer training in Bangalore. The course will provide in- depth knowledge about Apache Spark and how it works effectively with the Hadoop ecosystem. The training will also teach you about handling massive data, speeding up applications development and how you can make the application run faster. Objectives of Cloudera Training in Bangalore The intricate balance and sync between the Apache Hadoop ecosystem and how it fits with the data processing lifestyle. You will learn about how data is stored, processed and distributed in a Hadoop cluster. Writing, configuration, and deploying Apache Spark application on a Hadoop cluster. Learning the use of Spark SQL to process and query structured data. Learning to use the Spark shell for interactive data analysis. Understanding the use of Spark Streaming to process a live data stream. Who Can Take This Course? The Cloudera Training in Bangalore can be taken by those who have programming experiences however, prior knowledge of Hadoop or Spark is not required. It will come in handy if you have knowledge of Python or Scala considering Apache Spark examples and hands-on experience, both are presented in these languages. Upon the completion of the course, a valid professional certification is provided to the trainees. Certification creates a great difference. It increases your worth in the market. Cloudera developer training in Bangalore will provide hands-on knowledge about Cloudera along with providing working experience on live-projects. Overview of the Course Learn Apache Hadoop as well as Hadoop ecosystem Apache Hadoop file storage Distributed processing on an Apache Hadoop cluster Apache Spark cluster
Working with Data Frame and Schemas Analysing data with Data Frame queries RDD overview Transforming data with RDDs Aggregating data with pair RDDs. Learn how to create Querying tables. Study views with Apache Spark SQL Working with datasets in Scala Writing, configuring and running Apache Spark application Distributed processing Distributed data persistence Common patterns in Apache Spark data processing Introduction to DStreams Processing multiple batches Data sources If you are looking for training as a Cloudera developer, then look no more, Xebia Academy is the solution to all your problems.