Building Spark 2 applications using Scala

Building Spark 2 applications using Scala
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 18 Hours | Lec: 130 | 13 GB
Genre: eLearning | Language: English

Learn how to build Spark based applications using Scala as programming language

Learn Spark 2 using Scala as programming language!!!

Spark is in memory distributed computing framework in Big Data eco system and Scala is programming language. It is one of the hottest technologies in Big Data as of today.

Spark 2 have changed drastically from Spark 1. Spark SQL and DataFrames have become core module on which other modules like Structured Streaming and Machine Learning Pipe lines.

As part of this course, there will be lot of emphasis on lower level APIs called transformations and actions of Spark along with core module Spark SQL and DataFrames

Setting up development environment to build Spark based applications using Scala as programming language and IntelliJ as IDE
Reference to a crash course for Scala
Spark 2 – Building Blocks
Spark 2 – Resilient Distributed Datasets
Spark 2 – RDD Operations such as Transformations and Actions
Spark 2 – Data Frames and Data Sets
Spark 2 – Spark SQL (native as well as Hive Context)
Course will get into many details including using Analytic Functions as part of Data Frames and Spark SQL.

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