Apache Spark, Spark sql & Streaming basic to advance level

[mitsumi]

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 4.31 GB | Duration: 9h 19m
Spark 2.4 complete guide with practice session, Spark job Performance boost and Structured Streaming with scala basics

What you'll learn
Apache Spark in Big data Ecosystem
Spark Internal Architecture
Integration of Spark with Hive Warehouse
One course to learn Spark, Spark SQL, D-Stream and Structured Streaming
Basic Scala Programming for Spark
Spark Streaming Basics with Java
Spark Performance boost technique
How to Design Project on Big Data using Spark 2.x with Hive 2.8.x
Structured Streaming with Spark 3
Code Spark or Streaming Application in eclipse and run in yarn cluster
Google cloud Big data environment Free setup for practical

Description
I am Big Data Solution Designer in IT industry from last few years. I am adding all my learning and experience in this video series. So that you can understand working of Spark eco-system, work like a professional big data engineer and get a good job.

Benefits of this course:

Enroll into this course and get end to end knowledge of Apache Spark +Spark-SQL + Spark Streaming + Spark with Hive + Real World Use cases + Designing of Big Data project with Spark eco-system & Interview asked Use cases. This course is very rare of its kind and includes even very thin details of Spark which are not available anywhere online.

In this course you will get to understand a step by step learning of very Basic Spark to Advance Spark (which is actually used in Real-time projects) like with latest Spark version 3.x

Spark Setup , All file formats ,Hive Optimization Concepts like Partition , Bucketing , Joins , Spark Code Review like Experts : all demo / interactive sessions

Spark Google cloud account setup for hands-on over all concepts

Spark SQL Clauses : Distribute by , order by , clustered by , sort by

Scala basics Coding

Eclipse Coding Application with Java 8 as Maven Project and Spark API

Window functions like rank , row_number , dense_rank : all demo / interactive sessions

RDD , Dataset & DataFrame API

Different ways to create / insert data in Hadoop or Hive table

Spark Job Configuration Optimization

Spark Application DAG analysis and debugging using spark UI

Spark Streaming & Structured Streaming with Coding in Java

Performance Technique that big companies use to query fast on data.

This course is a full package explaining even rarely used commands and concepts in Spark. After completing this course you won't find any topic left in Spark. This course is made keeping in mind the Real Implementation of Spark in Live Projects..

Additionally ,You can download the Step Step Installation Guide (doc) to Install Scala and Apache Spark

Who this course is for:
IT Engineer want to move career into Big data technologies
Beginner in Big Data hadoop and spark
Students who want to crack Interview for Big data technologies related positions
Data Analyst who works on large data or continuous flow of data

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