Level Up Your Column-level Security: Using IAM Data Governance Tags in BigQuery
Learn how to manage column-level access controls in BigQuery using IAM data governance tags, ensuring secure, scalable data classification and protection.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Bridging the gap between SQL and Python with BigQuery and the %%bqsql magic
Seamlessly chain Python and SQL in Jupyter notebooks using BigQuery DataFrames and the %%bqsql cell magic. Learn how in this step-by-step guide.
How to Analyze and Govern Gemini Enterprise App Usage at Scale with BigQuery
Learn how to use BigQuery to analyze Gemini Enterprise usage logs, audit compliance, and build Looker dashboards at scale for your organization.
BigQuery Agent Analytics Looker
Try it out here. The BigQuery Agent Analytics Block, now available in the Looker Marketplace, provides an analytics solution designed to give you immediate visibility into your AI agent's behavior and performance.
Conversational analytics in BigQuery brings trusted agentic reasoning to everyone
Use Conversational Analytics in BigQuery to query data, run analyses, and generate reports using natural language on data in BigQuery and Lakehouse.
Synthesize the big picture and analyze trends with BigQuery's AI.AGG function
Learn to use BigQuery’s new AI.AGG function to analyze unstructured data such as logs and documents at scale.
Scaling Network Analysis for Fraud Prevention with BigQuery Graph
Data analysis at scale to identify hidden fraud and achieve transaction savings.
Agent development and AgentOps with BigQuery, ADK, and MCP
Join this session to learn about Agent Development Kit (ADK) and Model Context Protocol (MCP) integration methods that standardize how agents connect to your data while removing the need to build custom database connectors from scratch. Discover how to build agents with the ADK that accesses BigQuery for analysis, Google Maps for geospatial insights, and AlloyDB for transactions – all in a single workflow. Learn how to implement agent operations (AgentOps) for deep observability into both agent performance and cost with a single line of code.
Boost BigQuery with Python: Managed Python UDFs now generally available
Managed Python User-Defined Functions (UDFs) in BigQuery let you define and execute Python scalar functions directly within your BigQuery SQL queries.
Stop extracting data: Run serverless Python natively in BigQuery!
Python UDFs now Generally Available (GA), you can run custom Python code natively, securely, and serverlessly inside your SQL statements. Write standard SQL, import libraries like BeautifulSoup, or run machine learning tokenizers with zero infrastructure management. Speaker: Products Mentioned: BigQuery, Python User Defined Function.