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Big Data Crash Course

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4.6

Big Data Crash Course

Ramp up on Key Big Data Technologies in Shortest Possible Time

updated on icon Updated on Jun, 2025

language icon Language - English

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English [CC]

category icon Development ,Data Science,Big Data

Lectures -68

Duration -9 hours

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4.6

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Course Description

  • 9 hours+ Video Content
  • Always up-to-date content
  • Gain Holistic Picture of Big Data Ecosystem
  • Experience Classroom like environment via White-boarding sessions
  • Understand "What", "Why" and "Architecture" of Key Big Data Technologies with hands-on labs
  • Perform hands-on on Google Cloud DataProc Pseudo Distributed (Single Node) Environment
  • Get Ongoing Course Support on Course Forum (forum.datacouch.io) for ensuring your successful course completion
  • Delivered by Bhavuk Chawla who has trained 5000+ participants in in-person training
  • Acquire a Certificate on Successful Completion of the Course

Goals

  • Understand various Big Data Technologies such as Hadoop, Apache Spark, Apache Nifi, Apache Kafka, Sqoop, Hive, Impala, HBase, and many more
  • Handle a large amount of data easily
  • Develop a Big Data Framework VM Instance in Google Cloud Platform using DataProc
  • Understand Key Architectures of Big Data
  • Gain a holistic understanding of the Big Data Ecosystem
  • Work with various File Formats within Big Data Frameworks such as Avro, JSON, Parquet, and many more
  • Create a Real-Time Data Analytics Pipeline for fetching the data from Twitter and performing analysis within Apache Spark using Apache Nifi.

Prerequisites

  • Basics of SQL and RDBMS
  • Unix/Linux Basic Commands like mkdir, ls, cat etc.
  • Python/Java (not used extensively in the course)
  • Credit card for setting up a GCP account (no charges will be deducted if using the GCP trial version). You can perform all exercises of this course without incurring charges. Please refer to the “GCP Account Best Practices” Section for more details.
  • Twitter Account
Big Data Crash Course

Curriculum

Check out the detailed breakdown of what’s inside the course

Overview

4 Lectures
  • play icon About the Instructor 02:34 02:34
  • play icon Course Structure and Approach 03:14 03:14
  • play icon Course Pre-requisites 02:48 02:48
  • play icon Course Outcomes 02:08 02:08

Environment Setup

4 Lectures
Tutorialspoint

Getting Started with Big Data Journey

7 Lectures
Tutorialspoint

Hadoop Filesystem

4 Lectures
Tutorialspoint

Distributed Processing using MapReduce and Beyond

5 Lectures
Tutorialspoint

Data Persistence in Big Database

10 Lectures
Tutorialspoint

Data Ingestion using Sqoop

4 Lectures
Tutorialspoint

Data Analysis using Hive & Impala

9 Lectures
Tutorialspoint

Data Processing using Spark

6 Lectures
Tutorialspoint

Streaming Events through Kafka

6 Lectures
Tutorialspoint

Building Dataflows using Nifi

8 Lectures
Tutorialspoint

Epilogue

1 Lectures
Tutorialspoint

Instructor Details

DataCouch

DataCouch

Course Certificate

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Jack Greenfield

Very good subject matter coverage and relatively clear speech and audio quality.

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