The Essential Guide to Data Lakes: Designing Data Lakes to Optimize Analytics
The proliferation of data forces modern businesses to continually find new and more efficient ways to consolidate and transform various data sources to make more informed decisions and gain a competitive advantage.
What are the best ways for businesses to consolidate all of their data? One answer: a data lake. This option can handle the variety, volume, and velocity of modern data workloads and provide a cost-effective way to scale, store and access structured, semi-structured, and unstructured data types.
You will learn:
- What a data lake is and how it adds value
- The differences between data lakes and data warehouses
- Best practices for designing and structuring your data
- How to use Matillion to aggregate and transform data across your cloud data warehouse and data lake
This eBook shows how a modern data lake architecture can be designed to optimize advanced, enterprise-ready analytics.
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