In the world of data analysis, advanced SQL techniques are essential for extracting valuable insights from complex datasets. This comprehensive guide by Chandoo delves into these powerful techniques, ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

The new lakehouse offering marks a significant change in Oracle’s strategy, with the vendor moving from a single-cloud model ...

Microsoft's latest iteration of Arc SQL hopes to streamline the management of data in hybrid and multi-cloud environments, ...

Google Cloud is adding new features to Colab in BigQuery that, it said, will boost the productivity of data scientists.

In today's world, we have access to more data than ever before. In fact, there's so much available data that the bigger challenge is often how to use the data we have and apply it to specific needs.

While organizations may be ready to unlock the full potential of their data for analytics and AI, challenges such as data silos, inefficient workflows, slow analytics, governance risks, scalability ...

Data analytics are constantly evolving and becoming ever more relevant in today's marketing. In my own experience helping companies across industries refine their digital marketing, I have seen how ...

Python still leads despite a dip; C edges past C++ for #2; SQL re-enters the top 10 as Perl drops out after last month’s ...