Apache Spark 2.0 with Java 8 Beginner to Advanced Guide

Category: Tutorial

Tag: Database/SQL


Posted on 2019-01-29, by nokia241186.

Description



Apache Spark 2.0 with Java 8: Beginner to Advanced Guide
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 4.89 GB
Duration: 9.5 hours | Genre: eLearning | Language: English

Learn Apache Spark using Java

What you'll learn

Understanding Closures

Spark Unified Stack

Programming with RDDs

Lifecycle of Spark

RDD Persistence and Cache etc



What you'll learn
Lexical Scoping
Understanding Closures
Collectors
Spark Unified Stack
Apache spark Architecture
Programming with RDDs
Spark Driver Web UI
Lifecycle of Spark
Common RDD Transformations
RDD Persistence and Cache etc
Requirements
Basic knowledge of Big Data
Basics of OOPS
Basic knowledge of Programming Terminologies
Description
This course covers all the Basics about Apache Spark with Java and teaches you everything you need to know about developing Spark applications with Java.
Spark is one of the most growing and widely used tool for Big Data & Analytics. It has been adopted by multiple companies falling into various domains around the globe and therefore, offers promising career opportunities. In order to take part in these kind of opportunities, you need a structured training that is aligned as per Cloudera Hadoop and Spark Developer Certification (CCA175) and current industry requirements and best practices.
Besides strong theoretical understanding, it is quite essential to have a strong hands-on experience. Hence, during this course, you will be working on various industry-based use-cases and projects incorporating big data and spark tools as a part of solution strategy.
Additionally, all your doubts will be addressed by the industry professional, currently working on real life big data and analytics projects.
At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adapt Apache Spark for building big data processing pipeline and data analytics applications.
Who this course is for:
Software Engineers
Big Data Architect
Big Data Developer
Students
Big Data Professionals
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