• Online, Self-Paced
Course Description

Planning the structure for data storage is integral to performance in big data operations. In this course, you'll learn about key considerations for data lakes and how to determine which file type and file format are the most appropriate for your use case. Then, you'll explore how to define how to design table storage for efficient querying and how data pruning can remove unnecessary data to accelerate transactions. You'll examine folder structures and data lake zones for organizing data effectively. Finally, you'll learn how to define storage tiers and how to manage the life cycle of data.

This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.

Learning Objectives

{"discover the key concepts covered in this course"}

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Network Services