Pluralsight – Understanding and Implementing Data Models with Sisense 2024-9

Pluralsight – Understanding and Implementing Data Models with Sisense 2024-9

Pluralsight – Understanding and Implementing Data Models with Sisense 2024-9
Pluralsight – Understanding and Implementing Data Models with Sisense 2024-9

Understanding and Implementing Data Models with Sisense course. This course will help you learn how to connect to different data sources and build data models in Sisense software. In this course, you will learn techniques for building data models. First, you’ll explore how to connect to different types of data sources. Then, you will discover how to combine data. Finally, you will learn how to apply data modeling techniques. After completing this course, you will have the skills and knowledge to build Elasticube. This course will teach you how to structure your data using Sisense and use it for analysis and decision making. You will learn how to connect to different data sources, combine data, and build complex data models. In this course, you will be introduced to the fundamental concepts of data modeling and learn how to use these concepts to solve real-world problems in the field of data analysis. Also, you will work with various Sisense tools to build and manage data models.

What you will learn:

  • Elasticube model
  • Building a data model
  • Create a live connection
  • System management

This course is suitable for people who:

  • They want to work with data analysis tools.
  • They intend to build efficient data models.
  • Looking to increase their knowledge in the field of Sisense.

Course details

  • Publisher: Pluralsight
  • Instructor: Sai Krishna
  • Training level: beginner
  • Training duration: 1 hour and 31 minutes

Course headings

Understanding and Implementing Data Models with Sisense

Images of the course Understanding and Implementing Data Models with Sisense

Understanding and Implementing Data Models with Sisense

Sample video of the course

Installation guide

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Subtitle: None

Quality: 1080p

download link

Download file – 154 MB

File(s) password: www.downloadly.ir

File size

154 MB