Udemy – Big Data Crash Course | Learn Hadoop, Spark, NiFi and Kafka 2021-2

We are also an official training delivery partner of Confluent Kafka. We conduct corporate trainings on various topics including Confluent Kafka Developer, Confluent Kafka Administration, Confluent Kafka Real Time Streaming using KSQL & KStreams and Confluent Kafka Advanced Optimization. Our instructors are well qualified and vetted by Confluent for delivering such courses. Please feel free to reach out if you have any requirements for Confluent Kafka Training for your team. Happy to assist.

What you’ll learn

• Gain Holistic Picture of Big Data Ecosystem
• Ramp up on Key Big Data Technologies like Hadoop, Spark, Kafka, NiFi etc. in shortest possible time
• 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
• Experience Classroom like environment via White-boarding sessions

Who this course is for

• Engineers who are aiming to get a job in Big Data
• Engineers who would like to transition their roles into Big Data Technologies
• Big Data Engineers planning to appear for Certifications like CCA175, CCA159
• Big Data Engineers who are looking for Promotion 🙂

Specificatoin of Big Data Crash Course | Learn Hadoop, Spark, NiFi and Kafka

• Publisher : Udemy
• Teacher : Bhavuk Chawla , DataCouch Support Team
• Language : English
• Level : All Levels
• Number of Course : 78
• Duration : 9 hours and 41 minutes

Content on 2021-5

Requirements

• Basics of SQL and RDBMS
• Unix/Linux Basic Commands like mkdir, ls, cat etc
• Python/Java/Scala (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 “GCP Account Best Practices” Section for more details.
• Twitter Account

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 430 MB

File size

3.41 GB