Hortonworks HDP Overview Apache Hadoop Essentials

This one-day course provides a technical overview of Apache Hadoop for decision makers and business users. Students will obtain a deeper understanding of Hadoop using real world use cases to help provide the understanding of the power of Hadoop. Included in this course are high level overviews of the Hortonworks Data Platform 2.0 Data architects, data integration architects, managers, C-level executives, decision makers,  technical infrastructure team, and Hadoop administrators and developers who want to  understand the fundamentals of big data and Hadoop architecture.

Upon completion of this course, students will be able to:

  • Understand big data

  • Understand the benefits of Hadoop

  • Understand how Big Data and Hadoop fit into your current infrastructure and environment

  • Recognize use cases for Hadoop

  • Understand the path to ROI with Hadoop

  • Recognize use cases for Apache Pig, Apache Hive, HCatalog and MapReduce technologies

  • Explain the architecture of a Hadoop installation

  • Understand the fundamentals of the Hadoop Distributed File System (HDFS) and MapReduce

  • Understand the various options for inputting data into HDFS

  • Understand the architecture of Hadoop 2.0 and YARN

Course Outline


  • Understanding big data

  • Understanding Hadoop

  • Hadoop Architecture Fundamentals

  • Data Ingestion Strategies

  • Overview of Hadoop 2.0




Lab Content: 

There are no required labs in order to complete this course. Attendees have the option of installing the Sandbox and working through the demonstrations.The instructors will perform the following demonstrations:



  • Using the Sandbox

  • Understanding Block Storage

  • Importing a Database Table into HDFS using Sqoop

Audience

Data architects, data integration architects, managers, C-level executives, decision makers, technical infrastructure team, and Hadoop administrators and developers who want to  understand the fundamentals of big data and Hadoop architecture.

Prerequisites:
No prior knowledge of Hadoop is required.
No programming experience is required.
Students have the option of completing three hands-on labs using the Hortonworks Sandbox.