Getting Started as a Qubole User

Getting Started as a Qubole User

This course is designed to help you understand how Qubole helps to maximize your enterprise data outcomes.

ABOUT THIS COURSE

Qubole provides a highly integrated set of tools to help your organization analyze data and build reliable data-driven applications in the Cloud. In this course, you’ll gain a foundational understanding of how to perform the end to end workflows typical of a Qubole User.

Target Audience

This course is designed for new Qubole Users, Data Analysts, Data Engineers, and Data Scientists. 

Learning Objectives

Upon completion of this course, Qubole users will be able to perform following workflows in the Qubole Data Service (QDS) platform:

  • Discover and catalog data using the Explore interface.
  • Process data using the Workbench interface.
  • Build a story and collaborate Using the Notebook interface.
  • Schedule tasks using the Scheduler interface.

Also, you will also learn aligning clusters and use cases.

Prerequisite

Users must have access to a working Qubole Account and basic knowledge of SQL

Learning Format

Self-paced

Course Duration

45 mins

 

Curriculum

  • WELCOME
  • Introduction to Qubole
  • Course Overview
  • DISCOVER AND CATALOG DATA USING EXPLORE
  • Overview
  • Navigate the Explore Interface
  • Preview
    Discover Data in Cloud Storage
  • Creating a Table Schema
  • Knowledge Check
  • PROCESSING DATA USING WORKBENCH
  • Overview
  • Create, Execute and Save a Command
  • Query Collaboration and Collections
  • Knowledge Check
  • BUILD A STORY AND COLLABORATE USING NOTEBOOK

     AND

  • Overview
  • Navigate the Jupyter Notebook Interface
  • Explore Example Notebooks
  • Create and Execute a Notebook
  • Knowledge Check
  • SCHEDULE WORKFLOWS USING SCHEDULER
  • Overview
  • Create a Schedule
  • Knowledge Check
  • ALIGNING CLUSTERS
  • Overview
  • Cluster Behavior and Autoscaling
  • Navigate the Clusters Interface
  • Knowledge Check
  • GUIDELINES
  • Hive Guidelines
  • Presto Guidelines
  • Spark Guidelines
  • Clusters Guidelines
  • WRAPPING UP
  • Course Summary
  • Course Feedback
  • Additional Resources
  • NEXT STEPS
  • Hands on Lab

ABOUT THIS COURSE

Qubole provides a highly integrated set of tools to help your organization analyze data and build reliable data-driven applications in the Cloud. In this course, you’ll gain a foundational understanding of how to perform the end to end workflows typical of a Qubole User.

Target Audience

This course is designed for new Qubole Users, Data Analysts, Data Engineers, and Data Scientists. 

Learning Objectives

Upon completion of this course, Qubole users will be able to perform following workflows in the Qubole Data Service (QDS) platform:

  • Discover and catalog data using the Explore interface.
  • Process data using the Workbench interface.
  • Build a story and collaborate Using the Notebook interface.
  • Schedule tasks using the Scheduler interface.

Also, you will also learn aligning clusters and use cases.

Prerequisite

Users must have access to a working Qubole Account and basic knowledge of SQL

Learning Format

Self-paced

Course Duration

45 mins

 

Curriculum

  • WELCOME
  • Introduction to Qubole
  • Course Overview
  • DISCOVER AND CATALOG DATA USING EXPLORE
  • Overview
  • Navigate the Explore Interface
  • Preview
    Discover Data in Cloud Storage
  • Creating a Table Schema
  • Knowledge Check
  • PROCESSING DATA USING WORKBENCH
  • Overview
  • Create, Execute and Save a Command
  • Query Collaboration and Collections
  • Knowledge Check
  • BUILD A STORY AND COLLABORATE USING NOTEBOOK

     AND

  • Overview
  • Navigate the Jupyter Notebook Interface
  • Explore Example Notebooks
  • Create and Execute a Notebook
  • Knowledge Check
  • SCHEDULE WORKFLOWS USING SCHEDULER
  • Overview
  • Create a Schedule
  • Knowledge Check
  • ALIGNING CLUSTERS
  • Overview
  • Cluster Behavior and Autoscaling
  • Navigate the Clusters Interface
  • Knowledge Check
  • GUIDELINES
  • Hive Guidelines
  • Presto Guidelines
  • Spark Guidelines
  • Clusters Guidelines
  • WRAPPING UP
  • Course Summary
  • Course Feedback
  • Additional Resources
  • NEXT STEPS
  • Hands on Lab