According to Gartner, “Only 17 percent of businesses reported deploying their Hadoop big data projects to production.” What are the top technical reasons for this?
EDO2 refers to the systems and processes that enable businesses to organize and manage data from disparate sources and process the data for delivery to analytic applications.
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.
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 ...