The Big Data Developer Course

The Big Data Developer Course, available at $64.99, has an average rating of 4.4, with 197 lectures, based on 98 reviews, and has 735 subscribers.

You will learn about Understand the architecture of Hadoop Understand file formats and the ability to choose the right format for a given use case Develop applications on local system and then deploy them into production Parameterize the code and make it production ready Import data from mysql database into sqoop. Export data from hdfs to mysql. Get a deep understanding of sqoop Query and analyze the data effectively using Hive. Get a strong understanding of hive Learn Scala – one of the top programming languages Learn basic, intermediate and Advance concepts of Spark which is very hot in the market Work with complex data and learn how to process them effectively Learn Cassandra and integrate it with Spark Learn HBase and integrate it with Spark Learn Apache NIFI Work with Spark Streaming – Learn about Kafka and how it integrates with Spark Get a good understanding of end to end big data pipeline This course is ideal for individuals who are Beginners who are completely new to Big Data world or Software Engineers who want to shift to Big Data or upgrade their Big Data skills or Managers , Data Analytics who want to understand the end to end big data pipeline It is particularly useful for Beginners who are completely new to Big Data world or Software Engineers who want to shift to Big Data or upgrade their Big Data skills or Managers , Data Analytics who want to understand the end to end big data pipeline.

Enroll now: The Big Data Developer Course

Summary

Title: The Big Data Developer Course

Price: $64.99

Average Rating: 4.4

Number of Lectures: 197

Number of Published Lectures: 197

Number of Curriculum Items: 197

Number of Published Curriculum Objects: 197

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the architecture of Hadoop
Understand file formats and the ability to choose the right format for a given use case
Develop applications on local system and then deploy them into production
Parameterize the code and make it production ready
Import data from mysql database into sqoop. Export data from hdfs to mysql. Get a deep understanding of sqoop
Query and analyze the data effectively using Hive. Get a strong understanding of hive
Learn Scala – one of the top programming languages
Learn basic, intermediate and Advance concepts of Spark which is very hot in the market
Work with complex data and learn how to process them effectively
Learn Cassandra and integrate it with Spark
Learn HBase and integrate it with Spark
Learn Apache NIFI
Work with Spark Streaming – Learn about Kafka and how it integrates with Spark
Get a good understanding of end to end big data pipeline

Who Should Attend

Beginners who are completely new to Big Data world
Software Engineers who want to shift to Big Data or upgrade their Big Data skills
Managers , Data Analytics who want to understand the end to end big data pipeline

Target Audiences

Beginners who are completely new to Big Data world
Software Engineers who want to shift to Big Data or upgrade their Big Data skills
Managers , Data Analytics who want to understand the end to end big data pipeline

Big Data Developers are in high demand and it’s only going to increase as data grows. However, mastering the skills needed to become a Big Data Engineer can be overwhelming. That’s why we created “The Big Data Developer Course” with the help of industry experts. Our course provides an end-to-end implementation of the most in-demand Big Data skills, including Hadoop, Spark, Kafka, Cassandra, and more. With 33 hours of hands-on training, you’ll start with the basics and work your way up to production-level deployment, troubleshooting, and performance improvement. We cover everything from local development to integrating with complex data sources, such as NOSQL databases, and even streaming data. Our team is available to address any questions you have, and our video tutorials are all explained with examples. By the end of this course, you’ll be a Big Data expert, ready to take on any job in the industry. Don’t miss this opportunity to join the world of Big Data!

Here is a short description of what you will be learning in this course:
Understand the world of Big Data. What is Big data and why it is important
Understand and learn the concepts behind Hadoop. Understand its architecture
Install the software and start writing code
Learn important Hadoop Commands
Learn the file formats and understand when to use each of the file formats
Dive deep into Sqoop- a tool used for transferring data between RDBMS and HDFS
Dive deep into Hive- a tool used for querying the data on HDFS
Learn Scala – a top programming language
Dive deep into Spark which is very hot in the market
Learn NOSQL Databases – Cassandra and HBase and integrate them with Spark
Work with Complex data and process them effectively
Make your code production ready and deploy them onto the cluster
Learn Apache NIFI- a powerful and scalable open source tool for data routing
Work with Streaming data
Learn Kafka and integrate it with Spark
Learn troubleshooting techniques and performance improvement tips

This is complete end-to-end implementation course and we are very proud to bring this course to you.

Enroll now and join the world of Big Data !

Update:
We have added interview Preparation videos for Hadoop, Sqoop , Hive, Scala

Course Curriculum

Chapter 1: Introduction to the course

Lecture 1: What is this course about

Lecture 2: How to make best use of this course

Lecture 3: PPT used in this course

Chapter 2: Introduction to the Big Data World

Lecture 1: Introduction to Hadoop

Lecture 2: How MapReduce works

Lecture 3: What is Big Data

Lecture 4: [Notes] What is Big Data

Lecture 5: Hadoop 1.0 Architecture

Lecture 6: Hadoop 2.0 Architecture

Lecture 7: Hadoop 3.0 Architecture

Chapter 3: Setting up Cluster and doing hands on with Hadoop

Lecture 1: Cloudera Software Installation

Lecture 2: [Notes] Cloudera Software Installation

Lecture 3: Hadoop Commands

Lecture 4: [Notes] Hadoop Commands

Lecture 5: Row Storage vs Column Storage

Lecture 6: Serialized File Formats

Lecture 7: [Notes] Serialized File Formats

Lecture 8: Hadoop and Big Data Interview questions and Answers

Chapter 4: Sqoop

Lecture 1: Sqoop Introduction

Lecture 2: Sqoop Import

Lecture 3: [Notes] sqoop import

Lecture 4: Sqoop Multiple Mappers

Lecture 5: [Notes] Sqoop Multiple Mappers

Lecture 6: import portion of data

Lecture 7: [Notes] import portion of data

Lecture 8: Sqoop eval and change the file delimiter

Lecture 9: [Notes] Sqoop eval and change the file delimiter

Lecture 10: incremental import

Lecture 11: [Notes] incremental import

Lecture 12: Password Protection

Lecture 13: [Notes] Password Protection

Lecture 14: Using Last Modified

Lecture 15: [Notes] Using Last Modified

Lecture 16: Import multiple File Formats

Lecture 17: [Notes] Import multiple File Formats

Lecture 18: Import multiple Tables

Lecture 19: [Notes] Import multiple Tables

Lecture 20: Handling Null during Import

Lecture 21: [Notes] Handling Null during Import

Lecture 22: Sqoop export

Lecture 23: [Notes] Sqoop export

Lecture 24: Sqoop Performance Tuning

Lecture 25: [Notes] Sqoop Performance Tuning

Lecture 26: Sqoop Interview Preparation

Chapter 5: Hive

Lecture 1: Hive-Data Preparation

Lecture 2: [Notes] Hive-Data Preparation

Lecture 3: What is Hive

Lecture 4: [Notes] What is Hive

Lecture 5: Create and load a table in Hive

Lecture 6: [Notes] Create and load a table in Hive

Lecture 7: Hive Table Types

Lecture 8: [Notes] Hive Table Types

Lecture 9: Hive Partitions

Lecture 10: [Notes] Hive Partitions

Lecture 11: Hive Use Case

Lecture 12: [Notes] Hive Use Case

Lecture 13: Hive Buckets

Lecture 14: [Notes] Hive Buckets

Lecture 15: Schema Evolution in Hive

Lecture 16: [Notes] Schema Evolution in Hive

Lecture 17: Execute hive queries using a script

Lecture 18: [Notes] Execute hive queries using a script

Lecture 19: Working with Dates in Hive

Lecture 20: [Notes] Working with Dates in Hive

Lecture 21: Joins in Hive

Lecture 22: [Notes] Joins in Hive

Lecture 23: MSCK Repair

Lecture 24: [Notes] MSCK Repair

Lecture 25: Performance Tuning in Hive

Lecture 26: [Notes] Performance Tuning in Hive

Lecture 27: Hive vs SQL

Lecture 28: [Notes] Hive vs SQL

Lecture 29: Hive Additional Resources

Lecture 30: Hive Interview Preparation

Chapter 6: Installation for Spark and Scala

Lecture 1: Installing and setting up Spark and Scala

Lecture 2: [Notes] Installing and setting up Spark and Scala – Download links

Chapter 7: Let's learn Scala

Lecture 1: Introduction to Scala

Lecture 2: Executing our First Scala Program

Lecture 3: Scala Basics

Lecture 4: Conditional Statements

Lecture 5: Loops in Scala

Lecture 6: Functions in Scala

Lecture 7: Scala Class

Lecture 8: Constructors in Scala

Lecture 9: Scala Inheritance Introduction

Lecture 10: Single Inheritance

Lecture 11: Multilevel Inheritance

Lecture 12: Hierarchical Inheritance

Lecture 13: Scala Traits – for Mutliple Inheritance

Lecture 14: Hybrid Inheritance

Lecture 15: Method overriding and Method Overloading

Lecture 16: Singleton and Companion Object

Lecture 17: Case Class

Instructors

Deesa Technologies
Online Training

Rating Distribution

1 stars: 4 votes
2 stars: 2 votes
3 stars: 12 votes
4 stars: 35 votes
5 stars: 45 votes

Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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