Data Lake Fundamentals: Key Concepts and Best practices

About this course

Hello! Welcome to the "Data Lake Fundamentals" course!!Did you know companies generate massive amounts of data every year? Data that, if used correctly, can transform businesses.Traditional data management solutions struggle with today's data volumes. Data Lakes are the modern solution, offering a way to store, manage, and analyze all types of data efficientlyA Data Lake is a centralized repository that stores raw data in its native format, whether structured, semi-structured, or unstructured. It provides the flexibility needed for advanced data analysis."Data Lakes offer scalability, cost efficiency, and support for IoT and regulatory compliance. Companies using Data Lakes turn data into valuable insights, driving innovation and gaining a competitive edge.In our 'Data Lake Fundamentals' course, you'll learn:-What a Data Lake is.-Key features and benefits.-How to architect and govern a Data Lake.-Practical use cases and real-world examplesThis course has three parts:Part I: Course IntroductionIn this section we can understand clearly what is a Data Lake and why they are so important.Classes:Course IntroductionWhat is a Data Lake?Why should I learn about it?Part II - Characteristics and Comparisson of current scenarioIn this section we will deep dive in the concepts and comparisson between traditional warehouses and Data Lakes. Also, we will understand some challenges for implementation.Classes:Characteristics of a Data LakeHow does a Data Lake adds value?Data Lake Vs Data WarehouseData Lake challengesPart III - Lamda Architecture implementationHere we will understand how a lambda architecture data lake is splitted.Classes: