In today’s data-driven world, organizations grapple with the complexities of managing and extracting value from large volumes of data. In this course, Big Data for Data Engineers, you’ll gain the ability to architect and implement robust data solutions. First, you’ll explore the foundational concepts of big data by diving into its defining characteristics, understanding the history behind big data, and viewing the evolution of the big data technology landscape. Next, you’ll discover the key technologies in the big data ecosystem as well as how these tools efficiently process large amounts of data. Finally, you’ll learn how to design and implement scalable big data architectures by understanding the principles of a big data architecture design as well as the impact it has on business decision making. When you’re finished with this course, you’ll have the skills and knowledge of big data needed to implement a robust data solution that will empower organizations to derive valuable insights and stay ahead in a data-driven world.
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
• Understanding the Fundamentals of Big Data
  17mins
• Introducing Big Data Technologies and Ecosystems
  26mins
• Understanding Big Data Analytics and Insights
  13mins