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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, ...

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 ...

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 ...

VentureBeat presents: AI Unleashed - An exclusive executive event for enterprise data leaders. Network and learn with industry peers. Learn More I wrote The Security Data Lake in 2015. At the time, ...

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 ...

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 ...

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 ...

Trilliant Health, the healthcare industry's leading analytics firm, today announced that its comprehensive hospital price transparency dataset is now publicly available in a single DuckDB data lake, ...

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 ...