The data lake approach is increasingly being championed as a way to realize the promise of big data. This allows organizations to avoid transforming and loading data into a purpose-built data store, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Third, data lakes became data swamps because of poor meta­data management. It was not always possible to determine the definition and meaning of the data held in a Hadoop data lake. To mitigate this ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

While much has been said and written about the data lake, in the end, the concept has stayed pretty simple. The idea has been to use Hadoop as a place that data of all types could be stored in greater ...

A monthly overview of things you need to know as an architect or aspiring architect. Kenneth Harris, a NASA veteran who worked on the James Webb Space Telescope, shares how hardware and software ...

Data lakes can help agencies pool data from different sources and in a variety of formats to gain new insights that aid their missions. Phil Goldstein is a former web editor of the CDW family of tech ...

Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...

If you’re even tangentially involved with big data, you know that finding storage solutions for the volumes of data being generated every second is of utmost importance. When it comes to managing data ...

I work at a startup and our data is very messy at the moment, as you might imagine. We have a few product level transactional databases, but no central database to store it all in a useful way for ...