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Latest in Data Engineering & Analytics
Snowflake + dbt is not enough for Analytics Engineers in 2027
2026 changed everything when it comes to analytics engineering and we need to be ready for 2027! The curricula for our new program is: Week 1 — Unstructured Data Modeling on Snowflake Processing PDFs and unstructured data best practices How to build vectors and…
Unify operational and Lakehouse data with direct Iceberg access in AlloyDB for PostgreSQL
Group Product Manager, Databases Join our product leaders to architect your agentic future Direct Iceberg access: Read Iceberg tables in place, accelerated by the AlloyDB columnar engine. AlloyDB sync: Serve lakehouse data from AlloyDB for your most latency-sensitive workloads, refreshed…
Snowflake Delivers the Foundation for Autonomous Data Engineering, Powering the Agentic Enterprise with Trusted, Live Data
Also Read: AiThority Interview with Tim Jurka, VP Engineering at LinkedIn Putting Agents to Work on Recurring Data Tasks, So Teams Can Focus on Business Outcomes At the pace AI is scaling, data engineers can’t afford to spend their days…
Snowflake takes another step towards open data and AI architectures
Turn AI pilots into measurable results. Deliver better software, faster. Make better decisions with trusted data. Protect your data, applications, and AI. Scale your business and control cloud costs. Prioritize AI features that deliver business value. Latest trends and updates…
Counting Distincts and High Cardinality Aggregations: Designing Snowflake for Interactive Analytics
William McKnight and Jake Dolezal When an analytics dashboard shows a broken tile instead of a number, someone in the business makes a worse decision or no decision at all. High-cardinality queries, like counting unique sessions or visitors, are one…
When Everyone Asks at Once: Designing Snowflake for Interactive Analytics
William McKnight and Jake Dolezal Picture stock trading activity at a brokerage on a busy morning. Every trade the firm handles is landing in one big table, continuously, all day with: None of the queries are complex. Most of them…
Auto-Scaling for Spiky Workloads: Designing Snowflake for Interactive Analytics
William McKnight and Jake Dolezal It is a Friday evening and a flash sale goes viral, and the dashboard behind real-time inventory, fraud monitoring, and marketing attribution suddenly takes five times its normal query traffic. Twenty minutes later the sale…
Real-Time Analytics on Snowflake: Stream, Transform, Serve
Real-time analytics is the ability to turn live data into trusted insight and action within seconds. Real-time analytics processes and analyzes data as events happen, giving people and systems the current view of what’s happening, and the right latency depends…
Snowflake wants your model training off the cluster
Snowflake opened a public preview of Cortex Training to let teams fine-tune open-weight LLMs serverlessly, claiming up to 61% lower LoRA costs. By StartupHub.ai Staff, Editorial team Snowflake said it opened a public preview of Cortex Training, a serverless offering…
Data Engineering & Analytics
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