Intelligent Data Lake: Fundamentals for Analysts
A fundamental overview of the methods used to discover data, and prepare data assets for actionable insights. Discover how to use a platform to enhance the data discovery and analysis experience while turning data into valuable data assets. This course is applicable for Version 10.1.1.
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Duration: 25hrs
Course Content:
Module 1: Introduction Intelligent Data Lake
- Business scope of Intelligent Data Lake
- What is Intelligent Data Lake
- Features of IDL
- IDL capabilities
- Identify IDL terminologies
- Intelligent Data Lake interface
- Various stages of data handling in IDL
- Search Function
- Data through search strings
- Search Results
- Different search filters
- Data discovery capability
- Data asset views
- Data copying and data deletion features
- Importation of data from external sources
- Exportation of data to external targets
- Download data assets as Tableau Data Extract file
- Worksheets
- Creating a project and adding data assets to it
- Recommendations
- Features of editing and sharing a project
- Change project owners
- Delete a project
- Concept of data preparation
- How to configure sampling settings
- Suggestions
- Recipe and its features
- Data blending and data aggregation
- Formula
- Concept of data publication
- Publish prepared data
- Download the publications
- Concept of operationalizing mappings
- Process of data upload