Last updated 5/2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.72 GB | Duration: 3h 29m See how Snowflake can become your new modern data lake along with your data warehouse and everything else
What you'll learn How Snowflake Can Replace the Traditional Data Lake How Snowflake Can Supplement the Traditional Data Lake How Snowflake Can Act as a Query Engine for Your Data Lake History of Data Lakes Data Lake vs. Data Warehouse How Data Lakes Become Data Swamps Case Studies of Companies Making the Transition from Data Lakes to Snowflake Requirements Some basic knowledge of Snowflake would be useful Description The failure rate on big data traditional data lake projects is between 60% and 80%. Hadoop was billed as the platform to store and analyze data. It promised to minimize data silos with the concept of a Data Lake. But, Hadoop has largely failed in its ability to consider the operational side of data and what it takes to actually run a business. Big data systems like Hadoop are complex and require teams of expensive engineers to build and maintain them. This course shows how Snowflake changes all this. Snowflake is the complete modern cloud based data platform that can integrate with, or completely replace your data lake. This course shows how this is made possible. We do an in-depth discussion of the history of data lakes and the architecture of the modern on-premises or cloud-based data lake. We talk about what's good about data lakes and what's bad about them. We talk about data lakes becoming data swamps. Most importantly, we discuss how Snowflake can completely replace the traditional data lake and be your single repository for corporate data.Finally we present three case studies of companies that tried to make the traditional on-premises (or cloud-based) data lake architecture work for them and finally scrapped it and settled on Snowflake. We wrap up the course with some questions to test your knowledge of the material. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Traditional Data Lakes Lecture 2 Overview Lecture 3 History of the Data Lake Lecture 4 The Problems (Hadoop) Lecture 5 Data Lakes and Data Warehouses Lecture 6 The Data Swamp Section 3: The Cloud Data Platform Lecture 7 A Better Approach - Overview Lecture 8 Steps to Implementing Lecture 9 Introducing Snowflake Lecture 10 Snowflake Overview Lecture 11 Snowflake High-level Architecture Lecture 12 Creating a Demo Snowflake Account Lecture 13 The Snowflake Web UI Section 4: Snowflake Database as a Data Lake Lecture 14 Snowflake vs Data Lakes - A Comparison Lecture 15 Traditional Data Lake Architecture Lecture 16 Snowflake Data Lake Architecture Lecture 17 Snowflake Data Lake Demo Section 5: Case Studies Lecture 18 Devon Energy Lecture 19 Portland Gas and Electric Lecture 20 Chesapeake Energy Section 6: Time to Test Your Knowledge Lecture 21 Questions to Test Your Knowledge Snowflake developers, Snowflake Architects and Snowflake Administrators