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What you would learn in Snowflake Database - The Modern Data Lake course?
The failure rate for traditional data lake projects ranges from 60% to 80%. Hadoop was advertised as a platform for storing the data and analyzing it. It was supposed to reduce data silos through the concept of a Data Lake. However, Hadoop has largely failed to consider the operational aspect of data and the requirements to manage the business. Systems for big data like Hadoop are incredibly complex that require the help of teams of costly engineers to design and manage these systems. This course explains how Snowflake can change all of this. Snowflake is the modern cloud-based data platform that can integrate with or even completely take over your current data lake. This course will show how this is possible.
We deeply analyze past data lakes and the design of today's cloud-based or on-premises data lakes. We discuss what's great about data lakes and the negatives. We also discuss how data lakes are being transformed into swamps of data. We also discuss ways Snowflake could completely replace traditional data lakes and serve as your one-stop storage for your corporate data.
In the final section, we will provide three case studies of businesses that attempted to make the conventional premises-based (or cloud-based) data lake design work for them but then dropped it and went with Snowflake.
The course concludes by asking a few questions to test your understanding of the subject.
How Snowflake can replace the traditional Data Lake
How Snowflake can complement Traditional Data Lake
How Snowflake can act to act as a Search Engine for Your Data Lake
The History of Data Lakes
Data Lake vs. Data Warehouse
What happens when Data Lakes Become Data Swamps
Case Studies of Businesses Making the transition from Data Lakes to Snowflake
Download Snowflake Database - The Modern Data Lake from below links NOW!