Download Big Data Crash Course

Big Data Crash Course


Big Data Crash Course | Learn Hadoop, Spark, NiFi and Kafka, Big Data training course along with learning Hadoop, Spark, NiFi and Kafka is published by Udemy Academy. We are an official Confluent Kafka training delivery partner. We conduct corporate training on various topics including Confluent Kafka Developer, Confluent Kafka Administration, Confluent Kafka Realtime Streaming using KS, L and KStreams and Advanced Confluent Kafka Optimization. Our instructors are qualified by Confluent to offer such courses. Please get started if you meet the requirements for adequate Kafka training for your team. Glad to help.

What you will learn

  • Overview of the big data ecosystem
  • Launching key big data technologies such as Hadoop, Spark, Kafka, NiFi, etc. in the shortest possible time
  • Getting to know the “what”, “why” and “architecture” of big data technologies with practical laboratories
  • Familiarity with the distributed environment (single node) of Google cloud data
  • Experience a classroom-like environment through whiteboard sessions

Who is this course suitable for?

  • Engineers who plan to work in Big Data
  • Engineers who want to switch careers to big data technologies
  • Big data engineers planning to sit for certification exams like CCA175, CCA159
  • Big data engineers looking for promotion

Specifications of the Big Data Crash Course Learn Hadoop, Spark, NiFi and Kafka

At the beginning of the course chapters on 2021-5

Course prerequisites

  • 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 to “GCP Account Best Practices” Section for more details.
  • Twitter account


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

Sample video

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 430 MB

File(s) password:


3.41 GB

4.9/5 – (559 points)

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