Future proof and agent-ready – Built on an open, ISO-backed standard, GQL lays the foundation not just for current insights ...

Priya Ranjan works at the intersection of computational biology and bioinformatics, focusing on plant-microbe interactions, ...

Microsoft Excel is the most commonly used commercial spreadsheet software for analyzing data, reporting, and charting.

In case you forgot AI isn't the only thing GPUs are good for Exclusive  Support for AMD's Instinct GPUs is coming to Voltron ...

Python continues to dominate data science with its ease of use and vast libraries.R remains a favorite for statistics and academic research in da ...

SQL skills are essential for high-demand roles like data analyst, business analyst, data scientist, software developer, and ...

Databricks, the Data and AI company, today announced a new strategic product partnership with Google Cloud to make the latest Gemini models available as native products within the Databricks Data ...

Integrating AI output with SQL and providing observability of large language models are ways to put more data analysts in control, according to the data warehousing giant.

Write a SQL query in the BigQuery editor to retrieve or filter specific data. For example, `SELECT * FROM dataset_name.table_name` retrieves all rows and columns from a table.

Big data engineering company dbt Labs Inc. today announced it’s buying SDF Labs Inc. in a merger of acronymic startups that promises to deliver improved data velocity and quality for their customers ...

SQL: Use SQL to query relational datasets, extract meaningful patterns, and identify trends. SQL is a powerful tool for working with large datasets and performing in-depth analyses.