Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its ...

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 ...

The ease and ubiquity of SQL have even led the creators of many “NoSQL” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.

Snowflake is introducing two new tools to modernize analytics at the Snowflake Summit. Cortex AISQL and SnowConvert AI bring generative AI directly to SQL ...

a new code-first functionality within Sisense Fusion Analytics that empowers data analysts with the tools they need to conduct advanced analysis using Structured Query Language (SQL) and Python.

An exciting opportunity available within the energy solutions industry for a SQL Analyst, based in Bellville, Cape Town. This person will be responsible for maintaining and developing scripts and ...

Sigma already uses the extremely common SQL language for "asking" questions of the data, such that most C-level executives or accountants who need to use it likely already know how. Take ...

The rise of spatial SQL is furthering the acceleration and ... processes is guiding companies into this aspect of data analysis. “Now we see a lot of demand for companies that want to go beyond ...

If you’ve ever found yourself wrestling with SQL queries, struggling to migrate data seamlessly, or wishing for a more intuitive way to analyze and visualize your data, you’re not alone.

Data analysis includes evaluating and recapping information, and it can help us understand patterns and trends. There are four main types of data analysis: descriptive, diagnostic, predictive and ...