Alex Woodie is the managing editor of BigDATAwire (formerly Datanami).

ClickHouse, known for its high-performance columnar database technology, has secured $350 million in Series C funding to address the growing demand for real-time and scalable analytics in the AI era.

2024 marks the ninth year of Datanami’s – now BigDATAwire‘s – People to Watch Program, which recognizes the people who play leading roles in driving innovation in big data, advanced analytics, and AI.

BigDATAwire is a news portal dedicated to providing insight, analysis and up-to-the-minute information about emerging trends and solutions in big data. The portal sheds light on all cutting edge ...

During a presentation at Nvidia’s GPU Technology Conference (GTC) this week, the director of data science for Walmart Labs shared how the company’s new GPU-based demand forecasting model achieved a ...

Never before have the challenges of big data–how we store it, manage it, govern it, and use it–been so pressing. Advances in artificial intelligence may be the driving force in 2024, but that doesn’t ...

OpenText, provider of an integrated information management platform, has released the results of a survey that found eight out of 10 global workers are suffering from information overload due to ...

In this age of information, to say that the volume of data is exploding is a stark understatement. This big bang of big data is estimated to grow from 33 zettabytes in 2018 to 175 zettabytes by 2025, ...

Databricks today rolled out a new open table format in Delta Lake 3.0 that it says will eliminate the possibility of picking the wrong one. Dubbed Universal Format, or UniForm, the new table format ...

The data we have now is huge. But size, it turns out, is a relative thing. And according to the IDC, the sum of the world’s data – the DataSphere — will grow from 33 zettabytes in 2018 to a ...

At its SAS Innovate 2025 conference in Orlando, SAS rolled out a series of updates aimed at helping businesses make better decisions with AI. The announcements touched on a broad set of topics, from ...

Suppose you maintain a large set of data pipelines from external and internal systems, data warehouses, and streaming sources. How do you ensure that your data meets expectations after every ...