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HDP Overview Apache Hadoop Essentials Training


What HDP Overview Apache Hadoop Essentials training is all about?

This training provides a brief technical introduction of Apache Hadoop. It also cover HLL information about operation, architecture, concepts and utilization of HDP and Hadoop ecosystem. The course also helps to gain advanced knowledge for those professionals who are planning to attend hands-on training and Instructor Led Training.

Schedule

Contact us to customize this class with your preferred dates, times and location.
You can call us on 1-800-961-0337 or Chat with our representative.

What are the course objectives for HDP Overview Apache Hadoop Essentials training?
  • Elaborating about HDFS architecture.
  • Describing the utilization cases for Hadoop.
  • Describing about the data ingestion selections and systems for batch along with real-time streaming.
  • Explaining the basic fundamentals of parallel processing.
  • Overseeing most known data transformation along with processing engines in action.
  • Detailing the features and architectures of YARN.
  • Describing how to secure the Hadoop.
Who should attend HDP Overview Apache Hadoop Essentials training?

This training is intended for data integration architects, C-level executives, technical infrastructure team and Data architects. However, the target audience for this training are decision makers, Hadoop administrators who want to understand the fundamentals of Hadoop and Big Data.

What are the prerequisites for HDP Overview Apache Hadoop Essentials training?

The recommended prerequisite for this course is basic knowledge of Hadoop or programming learning.

What is the course outline for HDP Overview Apache Hadoop Essentials training?
  • 1. OBJECTIVES
  • The Case for Hadoop
  • The Hadoop Ecosystem
  • HDFS Architecture
  • Ingesting Data
  • Parallel Processing
  • Apache Hive Overview
  • Apache Pig Overview
  • Apache Spark Overview
  • YARN Architecture
  • Hadoop Security
  • 2. DEMONSTRATIONS
  • Operational Overview with Ambari
  • Loading Data into HDFS
  • Streaming Data into HDFS
  • Processing with MapReduce
  • Data Manipulation with Hive
  • Risk Analysis with Pig
  • Risk Analysis with Spark
  • Securing Ranger with Hive
1 Day | $ 700
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