Bigdata with AWS – From Beginner to Expert

Bigdata with AWS – From Beginner to Expert, available at $49.99, has an average rating of 2.95, with 56 lectures, based on 93 reviews, and has 858 subscribers.

You will learn about Students will learn end to end Bigdata with AWS from scratch to expert level. It contains videos which are delivered deeply with hands on coding. This course is ideal for individuals who are Beginners in Hadoop, Bigdata, AWS who wants to make their career in Data Engineering Field. It is particularly useful for Beginners in Hadoop, Bigdata, AWS who wants to make their career in Data Engineering Field.

Enroll now: Bigdata with AWS – From Beginner to Expert

Summary

Title: Bigdata with AWS – From Beginner to Expert

Price: $49.99

Average Rating: 2.95

Number of Lectures: 56

Number of Published Lectures: 56

Number of Curriculum Items: 56

Number of Published Curriculum Objects: 56

Original Price: ₹1,499

Quality Status: approved

Status: Live

What You Will Learn

Students will learn end to end Bigdata with AWS from scratch to expert level. It contains videos which are delivered deeply with hands on coding.

Who Should Attend

Beginners in Hadoop, Bigdata, AWS who wants to make their career in Data Engineering Field.

Target Audiences

Beginners in Hadoop, Bigdata, AWS who wants to make their career in Data Engineering Field.

Hi All,

This course is designed from Beginner to Advanced Level with Cloud Knowledge where all the sessions are hands-on.

Topics Covered:

1) Hadoop

2) Sqoop

3) Hive

4) Scala Programming

5) Spark

6) HBase

7) Cassandra

8) Kafka

9) AWS

[S3, EC2, EMR, GLUE, RDS]

All the sessions are starting from basics and minute care has been taken for implementing all concepts with hands-on.

After completing this course you should get ready to work in an independent industry environment and also it will help you gain confidence in coding as codes are written from scratch. Errors & Packages are explained, POM file creation, Jar creation and Spark Web UI has also been shown to get real time experience.

People coming from various background can easily pick up and work on it as sessions are hands-on with questions and answers. If you face any issues related to understanding or implementation post a question on Udemy i will try to answer that in 24-48 Hrs from my work Schedule.

Above course is designed keeping in mind with the current market & industry standards. All the topics are deeply covered to give you the best knowledge with cloud hands on experience. As Cloud will be the next new era so lets start learning now and becoming proficient.

I wish you good luck for your new learning of Bigdata with AWS and i hope you will be transfer your knowledge after this course with a good confidence.

Please Note:

No Documents, No Scripts, No VM, No Assignments & No Project would be provided in this.

Course Curriculum

Chapter 1: Demo Lectures

Lecture 1: Read S3 Data & Write to S3 using Spark Scala

Lecture 2: Sqoop Automation with Shell Script

Lecture 3: CCA 175 Exams Practice Scenarios

Lecture 4: Spark DStreams with Twitter Data

Lecture 5: Word Count using Spark Scala

Chapter 2: Hadoop Introduction, 1.x & 2.x Architecture

Lecture 1: Hadoop Introduction & 1.x Architecture

Lecture 2: Hadoop 2.x Architecture

Chapter 3: HDFS Commands

Lecture 1: Part 1 HDFS Commands

Lecture 2: Part 2 HDFS Commands

Lecture 3: Part 3 HDFS Commands

Chapter 4: Sqoop

Lecture 1: Sqoop Introduction

Lecture 2: Part 1 Sqoop

Lecture 3: Part 2 Sqoop

Lecture 4: Part 3 Sqoop

Lecture 5: Part 4 Sqoop

Lecture 6: Part 5 Sqoop

Lecture 7: Part 6 Sqoop

Lecture 8: Part 7 Sqoop

Lecture 9: Part 8 Sqoop

Chapter 5: Hive

Lecture 1: Part 1 Hive

Lecture 2: Part 2 Hive

Lecture 3: Part 3 Hive

Lecture 4: Part 4 Hive

Lecture 5: Part 5 Hive

Lecture 6: Part 6 Hive

Lecture 7: Part 7 Hive

Lecture 8: Part 8 Hive

Lecture 9: Part 9 Hive

Lecture 10: Part 10 Hive

Lecture 11: Part 11 Hive

Lecture 12: Part 12 Hive

Lecture 13: Part 13 Hive

Lecture 14: Part 14 Hive

Lecture 15: Part 15 Hive

Chapter 6: Scala Programming

Lecture 1: Part 1 Scala

Lecture 2: Part 2 Scala

Lecture 3: Part 3 Scala

Lecture 4: Part 4 Scala

Lecture 5: Part 5 Scala

Chapter 7: Apache Spark

Lecture 1: Part 1 Spark

Lecture 2: Part 2 Spark

Lecture 3: Part 3 Spark

Lecture 4: Part 4 Spark

Lecture 5: Part 5 Spark

Lecture 6: Part 6 Spark

Lecture 7: Part 7 Spark

Chapter 8: HBase No-SQL DB

Lecture 1: Part 1 HBase

Lecture 2: Part 2 HBase

Chapter 9: Spark DStreams & Structured Streaming

Lecture 1: Part 1 Spark DStreams

Lecture 2: Part 2 Spark Structured Streaming

Chapter 10: Kafka

Lecture 1: Kafka

Chapter 11: Socket Streaming

Lecture 1: Socket Streaming

Lecture 2: Data Ingestion Kafka Topic to Spark Manually

Chapter 12: AWS

Lecture 1: Part 1 AWS

Lecture 2: Part 2 AWS

Lecture 3: EMR_Transient_LongRunning_Cluster

Instructors

Saif Shaikh
Module Lead

Rating Distribution

1 stars: 7 votes
2 stars: 5 votes
3 stars: 13 votes
4 stars: 26 votes
5 stars: 42 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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