Big Data

You might want to take a look at Managing Big Data Workflows for Dummies

The book is free to download and makes quite clear that Data Warehouses are inadequate for many of today’s industries as their data grows.

Think of all the data required to run all the items connected in the IoT (Internet of Things)

The prevalence of clouds, megla-server clusters spread throughout the world have room to store seemingly infinite data, called Big Data. Big Data requires new architectures and processes to store and process. Some examples: Data Lakes are large, flat accumulations of data, each with its own processing engine–similar to splitting Big Data into multiple data warehouses. NoSQL is a nonRelational, scalable collection of large volumes of multi-variety data. Schema-on-read enables you to structure data on retrieval to fit the task requiring that data.


To learn more about Big Data storage and retrieval, take one or more tutorials at