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

  • Course provided by Udemy
  • Study type: Online
  • Starts: Anytime
  • Price: See latest price on Udemy
Udemy

Course Description

  • 9 hours+ Video Content

  • Gain Holistic Picture of Big Data Ecosystem

  • Learn HDFS, HBase, YARN, MapReduce Concepts, Spark, Impala, NiFi and Kafka

  • 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

  • Delivered by Bhavuk Chawla who has trained 5000+ participants in in-person training

  • Acquire Certificate on Successful Completion of the Course

Below are our more courses -

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

  2. Big Data For Architects | Build Big Data Pipelines and Compare Key Big Data Technologies

  3. Google Data Engineer Certification Practice Exams

  4. Setup Single Node Cloudera Cluster on Google Cloud

  5. Confluent Certified Operator for Apache Kafka Practice Test

  6. Confluent Certified Developer Apache Kafka Practice Tests

You may join our YouTube Channel named "DataCouch" for getting access to interesting videos free of cost.

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.


Expected Outcomes

  1. Gain Holistic Picture of Big Data Ecosystem
  2. Ramp up on Key Big Data Technologies like Hadoop, Spark, Kafka, NiFi etc. in shortest possible time
  3. Understand "What", "Why" and "Architecture" of Key Big Data Technologies with hands-on labs
  4. Perform hands-on on Google Cloud DataProc Pseudo Distributed (Single Node) Environment
  5. Experience Classroom like environment via White-boarding sessions