Data Lakes in a Modern Data Architecture eBook

Cloud-based services, such as Microsoft Azure, have become the most common choice for new data lake deployments.

Today’s business leaders understand that data holds the key to making educated decisions. 

The ability to capture and analyze practically any type of data has emerged as a critical business capability. Data lakes are broadly accepting of new data regardless of the format. This is a marked departure from the rule-laden, highly structured storage within traditional relational databases. 

With all the media hype around data lakes and big data, it can be difficult to understand how — and even if — a data lake solution makes sense for your analytics needs. In reality, data lakes and data warehouses can complement each other.

In this eBook, you'll learn how a modern data architecture can allow you to continue to leverage your existing investments, begin collecting data you have been ignoring or discarding, and ultimately enable analysts to obtain insights faster.  

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  What are data lakes

  • Data lakes retain all data
  • Data lakes support all data types

  • Data lakes support all users

  • Data lakes adapt easily to changes

  • Data lakes provide faster insights


  • Business needs that are driving data architectures to evolve & adapt

  • Principles of a modern data architecture 

  • How data lakes and data warehouses are complementary solutions 

  • Tips for designing a data lake 

  • Azure technologies for implementing a data lake 

  • Considerations for a successful data lake in the cloud

  • How to get started with a data lake 


Download our eBook today!