Big Data Analysis with Scala and Spark Training

Live Online & Classroom Enterprise Training

Big Data is a new term that is used widely in every section of society. Be it in agriculture, research, manufacturing, you name it and there this technology is widely used. Big Data is a field that treats ways to analyze, systematically extract information from, or otherwise, deal with datasets that are too large or complex to be dealt with by traditional data processing applications.

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What is Big Data Analysis with Scala and Spark Training about?

Manipulating massive data dispersed over a cluster using functional notions is prevalent in the industry and is likely one of the earliest major industrial applications of active principles. The popularity of MapReduce and Hadoop, as well as Apache Spark, a fast, in-memory distributed collections system developed in Scala, attest to this. In this course, we'll look at how the data parallel paradigm may be extended to the distributed scenario, all while utilising Spark. We'll go through Spark's programming model in depth, closely examining how and when it varies from other programming models, such as shared-memory parallel collections or sequential Scala collections. Using practical examples in Spark and Scala

What are the objectives of Big Data Analysis with Scala and Spark Training ?

Read data from persistent storage and load it into Apache Spark
Manipulate data with Spark and Scala
Express algorithms for data analysis in a functional style
Recognise how to avoid shuffles and recomputation in Spark

Who is Big Data Analysis with Scala and Spark Training for?

Bigdata Hadoop Developer
Hadoop Designer and Tester
Bigdata Analytics
Cloudera certifications

What are the prerequisites for Big Data Analysis with Scala and Spark Training?

Some Knowledge in programming

Available Training Modes

Live Online Training

12 Hours

Self-Paced Training

12 Hours

Course Outline Expand All

Expand All

Module 1 – Spark Basics

Module 2 – Reduction Operations and Distributed Key-Value Pairs

Module 3 - Partitioning and Shuffling

Module 4 - Structured data: SQL, Dataframes, and Datasets

Who is the instructor for this training?

The trainer for this Big Data Analysis with Scala and Spark Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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