Apache Spark is an open-source distributed general-purpose cluster-computing framework. It forms an interface for programming entire clusters using implicit data parallelism and fault tolerance. It was formerly developed at the Berkeley's AMPLab of University of California. The Spark codebase was later donated to the Apache Software Foundation, and since then has maintained by the same.
There are certain things which the Apache Spark aspirants need to know before taking up the Apache Spark Tutorial.
Prerequisites for spark are.
The Apache Spark tutorial is distributed in 21 modules with each of them covering in-depth information on Apache Spark. Most importantly, these modules will cover different topics on Apache Spark and get you acquainted with the concepts one by one.
What the Apache Spark tutorial covers:
Every topic is covered in a detailed manner. Additionally, this Ionic tutorial will appropriately serve both the beginners and experienced IT professionals.
The intent is clear: Help all the Apache Spark Tutorial Introduction Page IT aspirants.
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