Bigdata with AWS from Beginner to Expert

BY
Udemy

Gain hands-on experience of the core principles and functionalities of AWS for big data including Hadoop, Hive, Sqoop, and a lot more.

Mode

Online

Fees

₹ 449 2299

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Bigdata with AWS - From Beginner to Expert online certification is developed by Saif Shaikh - Professional Data Engineer & Trainer and is presented by Udemy which is aimed at individuals who want to improve their big data skills by utilizing AWS's features. Bigdata with AWS - From Beginner to Expert online course by Udemy focuses on teaching the core functionalities of tools like Hadoop, Hive, Spark, Scala, Kafka, and more.

Bigdata with AWS - From Beginner to Expert online classes comprise 81 hours of thorough video-based lectures as well as rich learning resources aimed at teaching big data analytics fundamentals. AWS, Sqoop, Hive, Cassandra, Scala, Kafka, Hadoop, Spark, and more tools are covered in this course. Individuals will be prepared to operate in an independent industry environment by the end of this course, which will help them acquire confidence in coding as codes are written from scratch.

The highlights

  • Certificate of completion
  • Self-paced course
  • 81 hours of pre-recorded video content
  • 30-day money-back guarantee

Program offerings

  • Online course
  • 30-day money-back guarantee
  • Learning resources
  • Unlimited access
  • Accessible on mobile devices and tv

Course and certificate fees

Fees information
₹ 449  ₹2,299
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Knowledge of big data Knowledge of aws technology

After completing the Bigdata with AWS - From Beginner to Expert certification course, individuals will obtain knowledge of both the fundamental and advanced principles of big data. Individuals will explore the big data analytics capabilities of AWS, Hadoop, Sqoop, Scala, HBase, Kafka, Spark, and Hive. Individuals will also gain an understanding of HDFS commands as well as DStreams, structured streaming, and socket streaming using Spark.

The syllabus

Demo Lectures

  • Read S3 Data & Write to S3 using Spark Scala
  • Sqoop Automation with Shell Script
  • CCA 175 Exams Practice Scenarios
  • Spark DStreams with Twitter Data
  • Word Count using Spark Scala

Hadoop Introduction, 1.x & 2.x Architecture

  • Hadoop Introduction & 1.x Architecture
  • Hadoop 2.x Architecture

HDFS Commands

  • Part 1 HDFS Commands
  • Part 2 HDFS Commands
  • Part 3 HDFS Commands

Sqoop

  • Sqoop Introduction
  • Part 1 Sqoop
  • Part 2 Sqoop
  • Part 3 Sqoop
  • Part 4 Sqoop
  • Part 5 Sqoop
  • Part 6 Sqoop
  • Part 7 Sqoop
  • Part 8 Sqoop

Hive

  • Part 1 Hive
  • Part 2 Hive
  • Part 3 Hive
  • Part 4 Hive
  • Part 5 Hive
  • Part 6 Hive
  • Part 7 Hive
  • Part 8 Hive
  • Part 9 Hive
  • Part 10 Hive
  • Part 11 Hive
  • Part 12 Hive
  • Part 13 Hive
  • Part 14 Hive
  • Part 15 Hive

Scala Programming

  • Part 1 Scala
  • Part 2 Scala
  • Part 3 Scala
  • Part 4 Scala
  • Part 5 Scala

Apache Spark

  • Part 1 Spark
  • Part 2 Spark
  • Part 3 Spark
  • Part 4 Spark
  • Part 5 Spark
  • Part 6 Spark
  • Part 7 Spark

HBase No-SQL DB

  • Part 1 HBase
  • Part 2 HBase

Spark DStreams & Structured Streaming

  • Part 1 Spark DStreams
  • Part 2 Spark Structured Streaming

Kafka

  • Kafka

Socket Streaming

  • Socket Streaming
  • Data Ingestion Kafka Topic to Spark Manually

AWS

  • Part 1 AWS
  • Part 2 AWS

Instructors

Mr Saif Shaikh
Instructor
Freelancer

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