Updated on Jun, 2025
Language - English
Very good subject matter coverage and relatively clear speech and audio quality.
Big Data Crash Course
Ramp up on Key Big Data Technologies in Shortest Possible Time
Development ,Data Science,Big Data
Lectures -68
Duration -9 hours
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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
Curriculum
Check out the detailed breakdown of what’s inside the course
Overview
4 Lectures
-
About the Instructor
02:34
02:34
-
Course Structure and Approach
03:14
03:14
-
Course Pre-requisites
02:48
02:48
-
Course Outcomes
02:08
02:08
Environment Setup
4 Lectures
Getting Started with Big Data Journey
7 Lectures
Hadoop Filesystem
4 Lectures
Distributed Processing using MapReduce and Beyond
5 Lectures
Data Persistence in Big Database
10 Lectures
Data Ingestion using Sqoop
4 Lectures
Data Analysis using Hive & Impala
9 Lectures
Data Processing using Spark
6 Lectures
Streaming Events through Kafka
6 Lectures
Building Dataflows using Nifi
8 Lectures
Epilogue
1 Lectures
Instructor Details
DataCouch
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