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Big Data Crash Course

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4

Big Data Crash Course

Ramp up on Key Big Data Technologies in Shortest Possible Time

updated on icon Updated on Apr, 2024

language icon Language - English

person icon DataCouch

category icon Big Data,Apache Kafka,Hadoop

Lectures -68

Duration -9 hours

4

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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

What will you learn in this course:

  • 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

What are the prerequisites for this course?

  • 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 GCP account (no charges will be deducted if using 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

Training Professionals Worldwide in Bleeding Edge Technologies
DataCouch is one of the Leading Training, Staff Augmentation & Consultancy providers, working within the most coveted domains of the IT market such as Data Engineering, Big Data Analytics, Data Science, Machine Learning, Artificial Intelligence, DevOps, Cloud Computing, Robotics Process Automation and many more. With a mission to work dedicatedly towards building an innovative and quality-conscious global organization encompassing the interests of customers, instilling values in employees, and returns for stakeholders. DataCouch takes immense pleasure in successfully transforming the 25000+ employees from world-renowned companies like Adobe, Google, Starbucks Coffee etc. We are proud partners of big names in the market like Pluralsight, Confluent, Google Cloud, AWS, Armory, and many more. Using the 100+ years of team experience, we have solidified our mission and vision using the 50+ course certifications and 75+ courses thus it would help your organization's credibility and market value of your employees.

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Jack Greenfield

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

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