Data Lake Planning

Melissa Coates discusses some of the planning involved with creating a data lake:

Does a Data Lake Replace a Data Warehouse?

I’m biased here, and a firm believer that modern data warehousing is still very important. Therefore, I believe that a data lake, in an of itself, doesn’t entirely replace the need for a data warehouse (or data marts) which contain cleansed data in a user-friendly format. The data warehouse doesn’t absolutely have to be in a relational database anymore, but it does need a semantic layer which is easy to work with that most business users can access for the most common reporting needs.

On this question, my answer is “Absolutely not.”  Data warehouses are designed to answer specific, known business questions.  They’re great for regulatory reporting, quarterly reports to shareholders, weekly reports to management, etc.  Data lakes are designed for ad hoc analysis of information.  Read the whole thing.

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Data Cleansing Options with Azure

James Serra tries to give you an answer of when you should use different Azure services for data cleansing: Clean the data and optionally aggregate it as it sits in source system.  The tool used for this would depend on the source system that stores the data (i.e. if SQL Server, you would use stored […]

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Azure Blob Storage and Data Lake Storage Gen2

Melissa Coates shows what you need to know about Azure Blob Storage with Azure Data Lake Storage Gen2: – You may need to consider separate storage accounts if you need to segregate access control (RBAC), virtual networks, access keys, and the like. (Note that RBAC can also be set at the container level too, but […]

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