Introduction to Big Data and Hadoop

Delve into Big Data essentials, explore data types, and gain insights into Hadoop components like YARN, MapReduce, HDFS, and Spark. Discover foundations to excel in the growing Big Data field.

Beginner

96 Lessons

10h

Certificate of Completion

Delve into Big Data essentials, explore data types, and gain insights into Hadoop components like YARN, MapReduce, HDFS, and Spark. Discover foundations to excel in the growing Big Data field.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

48 Playgrounds

30 Quizzes

This course includes

48 Playgrounds

30 Quizzes

Course Overview

This course offers a one-of-a-kind rich and interactive experience to learn the fundamentals and basics of Big Data. Throughout this course, you will have plenty of opportunities to get your hands dirty with functioning Hadoop clusters. You will start off by learning about the rise of Big Data as well as the different types of data like structured, unstructured, and semi-structured data. You will then dive into the fundamentals of Big Data such as YARN (yet another resource manager), MapReduce, HDFS (Hadoo...Show More

Course Content

Hadoop

Get familiar with Hadoop’s role in Big Data, its evolution, and core terminologies.

Big Data vs Data Warehouse

YARN

Walk through YARN's resource management, workflow, and scheduling for efficient cluster operation.

Introduction

Workflow

Scheduling

Map Reduce

Examine MapReduce's programming model, mapper, reducer, testing, execution, and resiliency in big data.

Testing MapReduce Program

Running MapReduce End to End

Exploring MapReduce Runs

Combiner and Partitioner

Putting it Together

Resiliency

HDFS

Enhance your skills in HDFS architecture, from filesystem fundamentals to practical commands.

Filesystem

The Big Picture

Disk Blocks & HDFS Blocks

Spark

Deepen your knowledge of Spark’s architecture, APIs, RDDs, DataFrames, and execution workflow.

Introduction

Architecture

Spark Application Life Cycle

Spark API

Resilient Distributed Datasets (RDDs)

DataFrames

Datasets

An Example

Running Spark Applications

Anatomy of a Spark Application

Execution of a Spark Application

Input & Output Formats

12 Lessons

Follow the process of exploring input and output format efficiencies through SequenceFile, Avro, and Parquet.

Misc

5 Lessons

Master the steps to utilizing Zookeeper and Pig for managing distributed systems and parallel data processing.

Quiz

6 Lessons

Get familiar with core Big Data and Hadoop concepts through structured quizzes.

Reference: Replication

14 Lessons

Unpack the core of data replication techniques, consistency, latency, and conflict resolution in distributed systems.

10.

Reference: Partitioning

4 Lessons

Explore partitioning strategies to enhance scalability, fault tolerance, and query performance.

11.

Reference: Transactions

9 Lessons

Find out about database transaction concepts and strategies for maintaining data integrity.

12.

Reference: Issues in Distributed Systems

4 Lessons

Deepen your knowledge of complexities in distributed systems, network issues, and time synchronization.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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