The courses cover topics such as the analytical process, data creation, storage, and access, relational databases and SQL, predictive modeling techniques, exploratory data analysis, data visualization ...

The company said demand is surging for its Databricks SQL data warehouse as companies seek an alternative to slow and expensive legacy systems.

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.

Business organizations regularly collect customer data to improve their services. Organizations may want to share data within themselves or even with third-parties to maximize data utility. Since ...

The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies.

This project focuses on data exploration and analytics, including segmentation, ranking, trend analysis, and performance evaluation to uncover business insights. - k178412/sql-exploratory-data-anal ...

SQL: Optimizing Query Performance for Large-Scale Data Big Data analytics fundamentally still relies on SQL more than any other tool, signifying the importance of SQL's query optimization techniques.

The rise of artificial intelligence(AI) is fundamentally changing the world of data analytics and data engineering.

Data and analytics leaders should take these nine trends into consideration in their strategies for the upcoming year.

Simplify database management with Chat2DB, an AI-powered tool for SQL, data analysis, and real-time dashboards. Perfect for developers ...