The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.

One of the more prosaic parts of data warehousing is getting information into a warehouse in the first place. Vendors that sell data-loading tools have long operated in the shadows of the business ...

Databricks, AWS and Google Cloud are among the top ETL tools for seamless data integration, featuring AI, real-time processing and visual mapping to enhance business intelligence. Extract, transform ...

Ever wondered what would happen if you launched your web applications without load testing them? You may run into glitches and lose a huge chunk of your customer base due to poor app performance. For ...

In this data-driven age, enterprises leverage data to analyze products, services, employees, customers, and more, on a large scale. ETL (extract, transform, load) tools enable highly scaled sharing of ...

Load testing tools are important to test a specific software's performance in actual or realistic environments. After all, a web application is only as favorable as its use in practical scenarios.

AI Agents function less like tools and more like self-directed teammates, orchestrating, analyzing and acting across ...

Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...

Data lineage is the process of identifying the source of data, recording the transformations and flows of data over time, and visualizing data flow from sources to end users. Data lineage empowers ...

Rohit Amarnath is CTO of Vertica, a unified analytics platform that enables predictive business insights based on a scalable architecture. Data is the new oil. It is one of the most valuable assets in ...

Business today depends on data. The ability to efficiently acquire, access, and analyze information is essential to effective decision-making. And better decisions are key to building better ...