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How to differentiate data hub, a data lake and a data hub?


Asked by Talon Clements on Dec 01, 2021 FAQ



They are not focused solely on analytical uses of data. In some cases, data warehouses and data lakes offer governance controls, but only in a reactive manner whereas data hubs proactively apply governance to the data flowing across the infrastructure. Data warehouses, data lakes, and data hubs are not interchangeable alternatives.
Likewise,
Enterprises choose data hubs when they want to benefit from a hub and spoke architecture, data normalisation, security, and flexibility. Data hubs don’t store transaction information and are often small in comparison to data lakes and data warehouses.
Similarly, Data hubs provide master data to enterprise applications and processes. They are also used to connect business applications to analytics structures such as data warehouses and data lakes.
In addition,
Even if you do not have messages coming into Event Hubs, Event Hubs writes empty files with just the headers into the Data Lake Storage Gen1 account. The files are written at the same time interval that you provided while creating the Event Hubs. Once the data is in Data Lake Storage Gen1, you can run analytical jobs to process and crunch the data.
Keeping this in consideration,
While they can serve as systems of record, Data Hubs are usually referred to as a shared integration point in most architectures, where they are used to create an organization’s 360-degree view. As a rule of thumb, a data hub is not a drop-in upgrade or replacement for a data warehouse.