Snowflake Database - The Modern Data Lake
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
Screenshots