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Spark is an open source parallel processing framework which is a fast, in-memory data processing engine with elegant and expressive development APIs. It allows data workers to efficiently execute streaming and help machine learning, SQL workloads that require fast iterative access to datasets for running large-scale data analytics applications across clustered computers. Spark can also process data from a variety of data repositories including the Hadoop Distributed File System (HDFS), NoSQL databases and relational data stores such as Apache Hive etc. Spark also supports in-memory processing to boost the performance of big data analytics applications and conventional disk-based processing when data sets are too large to fit into the available system memory.

At Benchfolks we know what it takes to be successful Apache Spark architect and we have trainers who understand the learning process and adoption stages associated with Apache Spark training. This course is best suited to developers and software engineers who are already working and wish to change their domains to Apache. Course examples and exercises are presented in Python, Java, Scala etc so knowledge of any one of these programming languages is required. Basic knowledge of Linux is assumed and Prior knowledge of Hadoop is not required.

Spark course contents

Our Apache Spark course details are as given below Introduction to Scala for Apache Spark, OOPS and Functional Programming in Scala, Introduction to Big Data and Apache Spark, Spark Common Operations, Spark Streaming and MLlib, Playing with RDDs, Parallel Programming with Spark, GraphX, SparkSQL and Performance Tuning in Spark and A complete project on Apache Spark will be undertaken by the users to fully understand what Spark is all about.

The Spark course by the trainers will enable our participants to build complete Big Data solutions and applications from scratch. With Spark, developers can also write sophisticated parallel applications for faster business decisions and better user outcomes which can be applied to a wide variety of use cases, architectures, and industries. Our registered trainers provide online as well as offline training for all.

With such huge opportunities in Spark and related courses the user can take up Apache Spark certification and placement through our tie up corporates after successful completion of the course. Since its release, Spark has seen a rapid absorption by enterprises across a wide range of industries. Internet powerhouses such as Netflix, Yahoo, and eBay are deploying Spark at such massive scales that the collection and processing multiple petabytes of data on clusters is over 8,000 nodes. It has quickly become the largest open source community in big data, with over 1000 contributors from 250+ organizations. Thus, Spark is the future and we at Benchfolks have the trainers to help you out. You can also refer below for more details.


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