Data has evolved over the last 2-3 decades. We have been able to identify and group data into multiple categories and even with them we have subcategories. In this course, Approaches to Requirement Analysis for Efficient Data Storage and Processing, you’ll gain the ability to confidently make the right choices to place your data in the right tool with all the right additional features required to be efficient. First, you’ll explore how to evaluate steps to design, implement, and support your data storage . Next, you’ll discover and understand the business continuity capabilities within the lifecycle of your data. Finally, you’ll learn how to ensure data integrity and manage performance at scale. When you’re finished with this course, you’ll have the skills and knowledge of Approaches to Requirement Analysis for Efficient Data Storage and Processing needed to effectively manage your data in your environment.
Author Name: Dayo Bamikole
Author Description:
Dayo is a Technology Specialist with expertise in Cloud Data Solutions, Artificial intelligence, and Web Development. Dayo has traveled around the United States delivering workshops on technical services in the workplace, in over 35 states, as well as Europe. The audience for these workshops varies from Database Administrators to Software Developers. Ifedayo holds several certifications in Azure, such as: Azure Data Engineer, Azure Data Scientist, Azure AI Engineer, Google Cloud Fundamentals and… more

Table of Contents

• Course Overview
  1min
• Evaluate Steps to Design, Implement and Support Data Storage
  7mins
• Understand Data Availability throughout the Data Lifecycle
  11mins
• Explore How to Ensure Data Integrity
  4mins
• Managing Performance at Scale
  9mins