Due to the ever-increasing volumes of data, businesses need to continually find new and more efficient ways to consolidate and transform various data sources in order to make better, more informed decisions and in turn, gain competitive advantage.
How can businesses consolidate their massive amounts of data? A data lake, which can handle the variety, volume, and velocity of modern data workloads, can address these unique requirements by providing a cost-effective resource for scaling, storing and accessing structured, semi-structured, and unstructured data types.
This eBook shows how a modern data lake architecture can be designed to optimize advanced, enterprise-ready analytics.
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'
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