How to use SQL for Data Analysis 1:07 pm August 8, 2024 By Julian Horsey In the world of data analysis, advanced SQL techniques are essential for extracting valuable insights from complex datasets.

The core value of conversational BI lies in lowering the threshold for data analysis and promoting "data democratization." Traditional BI requires users to master SQL, OLAP, and possess data thinking ...

In today's business world, while data professionals have access to advanced AI tools, they still remain heavily dependent on manual data analysis. Ada, the world's first AI data analyst, launches ...

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.

Coursera offers a variety of training options for the growing data professional. Explore top data science courses from Coursera now.

Integrated workflows. Go from model design to advanced analysis to visualization to source control, all in one location, and with the highest degree of data security. Analysis using SQL or Python.

Master data analysis with free datasets, custom data creation tips, and visualization tools. Perfect for Excel, Power BI, and SQL enthusiasts.

How Apache Arrow, Apache Parquet, Arrow Flight, and DataFusion bring enhanced data processing capabilities to large volumes of time series and other data.

Promising that developers can 'save weeks of development effort,' Microsoft today answered their request for database project support in Visual Studio to target Azure SQL Data Warehouse projects.