DENG-156: Introducing Cloudera Data Warehouse

Difficulty
Basic

Rating

Course length
45 mins

Instructor
OnDemand Moderation

Price
Free

Description

About This Module

This module introduces data engineers and data analysts to the Cloudera Data Warehouse service. It introduces basic concepts, and then provides a choice to continue with a Data Engineer track, which shows how to create and tune important entities within Cloudera Data Warehouse, or with a Data Analyst track, which shows how to access tables and views using different interface methods.

Module Length

This module includes 52 minutes of video content. The videos for the Data Analyst track add to 38 minutes; the videos for the Engineer track add to 33 minutes. Note: In order to complete the hands-on exercises for this course, students must have access to CDW through their organization.

Audience and Prerequisites

This module is designed for data analysts and data engineers. There are no prerequisites, though access to a working Cloudera with Cloudera Data Warehouse is required in order to complete the hands-on exercises.

Grading for This Module

There are seven chapters in this module, but you only need to complete four quizzes with 75% or better to pass. (One chapter does not include a quiz.) 

After the first three chapters, you can choose the two Data Engineer track chapters, or the two Data Analyst track chapters. Your reported grade will include the quizzes for chapters you did not take, but the overall passing level has been lowered to 50%. This means you do not need to take the quizzes for the other track.

However, you are welcome to complete all seven modules (and take all six quizzes). 

Objectives

Through videos and hands-on exercises, learners achieve proficiency in CDW and develop the skills required to:

  • Identify the primary purpose and benefits of Cloudera Data Warehouse
  • Access Cloudera Data Warehouse and navigate different pages within it
  • Create a Database Catalog and a Virtual Warehouse in Cloudera Data Warehouse (Data Engineer)
  • Describe how Cloudera Data Warehouse scales automatically (Data Engineer)
  • Change settings for Hive and Impala Virtual Warehouses (Data Engineer)
  • Run a query using Hue or DAS with a Cloudera Data Warehouse Virtual Warehouse (Data Analyst)
  • Connect to a Virtual Warehouse from the command line (Data Analyst)
  • Connect a third-party tool to a Cloudera Data Warehouse Virtual Warehouse (Data Analyst)

Certificate

By completing/passing this course, you will attain the certificate Cloudera OnDemand and ILT Certificate

 
Added 17 days ago, by Juan Manuel
This course served as a solid introduction to the Cloudera Data Warehouse environment. It effectively explained how different components of the platform work together to support modern data warehousing needs. One of the highlights was the comparison between Impala and Hive, helping learners understand when to use each engine depending on the query latency, workload type, and optimization level required.
 
Added 18 days ago, by Adam
 
Added 23 days ago, by Jonathan
Excelent
 
Added 28 days ago, by Daniel
 
Added about 1 month ago, by Masure
 
Added about 1 month ago, by Surya
Maybe an updated tutorial should be freely available, possibly with more content. Although the basics have been explained in a clean way!
 
Added about 1 month ago, by Oliver
amazing
 
Added about 2 months ago, by Samuel
 
Added about 2 months ago, by Saikumar
 
Added about 2 months ago, by Jerry

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