Successfully Transitioning your Team from Data Warehousing to Big Data

Uli Bethke Big Data, Data Warehouse

You are planning to complement your traditional data warehouse architecture with big data technologies. Now what? Should you upskill your existing data warehouse team? Or do Big Data technologies require a completely different set of skills? What do we mean by big data technologies anyway? For the purpose of this article, I define big data as any distributed technology that ...

Spark and Hadoop in Risk Line of Business at Bank of America

Anvesh Gali Big Data, Business Intelligence, Data Science, Data Warehouse

Do you want to gain knowledge about Big Data? Do you want to dig into the field of Risk Line of Business at Bank of America? Come join us to explore these questions. Presentation 1 Andrea Fagan will talk about the history of big data in the Risk Line of Business at Bank of America. What works and what doesn't. ...

Are Data Lakes Fake News?

Uli Bethke Big Data, Data Warehouse

The problem with the data lake Are data lakes fake news? The quick answer is yes and in this post I will show you why. The biggest problem I have with data lakes is that the term has been overloaded by vendors and analysts with meanings. Sometimes it seems that anything that does not fit into the traditional data warehouse ...

Dimensional Modeling and Kimball Data Marts in the Age of Big Data and Hadoop

Uli Bethke Big Data, Business Intelligence, Data Warehouse, Dimensional Modeling

Is dimensional modeling dead? Before I give you an answer to this question let's take a step back and first have a look at what we mean by dimensional data modelling. Why do we need to model our data? Contrary to a common misunderstanding, it is not the only purpose of data models to serve as an ER diagram for ...

UPDATE: Data Warehousing in the age of Big Data. The end of an era?

Uli Bethke Big Data, Data Warehouse

A while ago, back in mid 2015, we published a post on our blog about how the age of big data is changing the data warehousing landscape. With constant changes, the development of new tools, and the ongoing overall increase in data amounts as part of the digitalisation, it is about time that we have another take on this interesting ...