How to assemble your Open Data Infrastructure
A practical guide to building a governed foundation that can support diverse workloads without copying data into every tool.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
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.
Improve Compliance, Visibility, and Control in Your Financial Close
Four specialists. 75+ years of combined close experience. One roundtable. We asked them to dissect the month-end close: where governance quietly erodes, why a one-day delay can cascade into seven, what happens when your best reconciliation person is unavailable, and where automation is genuinely delivering results today. 45 minutes of practical close strategy from people who know exactly where the process breaks, and how finance teams can fix it.
Real-Time Hyper-Personalization in 2026: Architecture Guide
Hyper-personalization in 2026 is the ability to act on a user's current intent within the current session, using signals from across the journey. Batch customer data platforms (CDPs) can't do this. They can't capture intent as it forms, can't hold session state, and can't activate inside the intent window.
How to Eliminate Training-Serving Skew With a Unified Real-Time Streaming ML Pipeline (2026 Guide)
The problem. Predictive ML pipelines that maintain separate batch and streaming code paths for the same features carry training-serving skew, the gap between the features a model was trained on and the features it sees at inference time. Skew silently degrades model accuracy and doubles infrastructure cost. The recommendation. Adopt a unified streaming (kappa) architecture.
AI Makes Data Governance Non-Negotiable. What Does That Mean for Mid-Sized Companies?
Your dashboards have a new reader, and it doesn’t have judgment.
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.
Snowflake CoCo: Welcome to the Agentic Enterprise
When business questions move faster than answers, teams need more than dashboards. They need AI agents that can break silos, add context, and turn trusted enterprise data into action. Meet Snowflake CoCo — built to help data teams and business users move from reactive reporting to strategic action. In the Agentic Enterprise, everyone can become a strategic force, shaping what the business does next.
Agentic Data Engineering: Self-Healing Pipelines for Real-Time Insight
Brittle pipelines and SLA firefighting hold data teams back. Agentic data engineering introduces autonomous AI agents that detect failures, fix code, and re-run pipelines—with humans in the loop guide critical decisions. This video explains how Cloudera Data Engineering and Cloudera AI enable self-healing pipelines.
Fivetran named a Leader for the fifth consecutive year in Snowflake's 2026 Modern Marketing Data Stack report
This recognition reflects the critical role automated data movement continues to play in helping organizations unify data, improve decision-making, and prepare for the future of AI.