Have you ever been frustrated with your business executives and their lack of understanding about data, where it comes from, how it should be used? Well, there is some hope on the way.

There is a massive trend to move data analytics and data engineering to the cloud. However, there are issues in making this change that the cloud vendors are reluctant to talk about that you need to know.

There is no Gartner Magic Quadrant for DataOps but inquiring minds want to know the 5 characteristics that define a good DataOps solution.

Read how a multi-billion dollar high-tech company moved from their in-house, brittle, big data ingestion solution to Infoworks.

Few trends got more attention in tech in 2018 than artificial intelligence. But if you can't get the right data delivered to your AI or ML algorithm, all you have is "A".

After data is ingested into a data lake, data engineers need to transform this data in preparation for downstream use. Challenges in data preparation tend to be a broad collection of issues that add up ...

Industry veteran, David Dorman, joins big data innovator, Infoworks.io as we scale up to meet explosive market demand

Read how an old fashioned brick and mortar retailer is automating their data engineering processes to deliver greater analytics agility.

We have all been uncomfortable with the “big data” term for some time now. It is time for a new and better term. Agile Data!