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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