A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial ...

In fact, by 2024, more than three-quarters of current data lake users will be investing in this type of hybrid “data lakehouse” architecture to enhance the value generated from their ...

Building an analytics architecture for unstructured data and multimodal AI brandpost By Ganesh Kumar Gella, Sr. Director, Engineering, Google BigQuery Generative AI Initiatives Jun 11, 2025 5 mins ...

When a data warehouse brings together information from different systems, it becomes crucial to make sure who gets access to what and at what level. After all, not everyone has the same data needs.

Data quality and master data management are not, strictly, part of data architecture, but good-quality data remains vital to deliver the business results from an architectural project. Experts who ...

This was when businesses began to unlock the value of working with unstructured data – messy, raw information that might come in the form of pictures, videos, or sound recordings. This type of ...

In short, with the new cloud era of data upon us, the thinking goes, we need new tools and technologies to take advantage of it. This is precisely what a new generation of technologists who advocate ...

In this world of so-called digital transformation and cloud computing that drives our always-on über-connected lifestyles, surely it would be useful to understand how many types of data are out ...