eBook: Data Lakes in a Modern Data Architecture

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. 

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

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

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.  

What you'll learn: 

  • 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 

Fill out the form to access your copy of Data Lakes in a Modern Data Architecture!

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BG_blogbio_LeoFurlong
Azure data services provide a robust suite of integrated products to enable the enterprise with corporate analytics and tooling combined with governed datasets for Modern BI and AI.

- Leo Furlong, Principal Consultant