Pipelines, streaming, lakehouses, warehouses and data quality. 1,479 posts on file, most from dbt Labs, Databricks, Dremio.
With the acquisition of Altinity, EDB Postgres AI brings Postgres and ClickHouse software together on one road map, uniting transactions, real-time analytics, and agentic AI wherever your data has to live.
Stream Kafka to ClickHouse with the Kafka table engine, ClickPipes or Kafka Connect. Compare 4 methods, delivery guarantees and duplicate handling.
Streaming tables and materialized views, read in place as Iceberg: the settings that matter, what the logs show, and the Snowflake errors I hit Most guides to reading Databricks from Snowflake start with a plain Delta table.
AI Concerns Spark a Broad Sell-Off: Why Diversification Matters jennifer.hanra… Thu, 11/05/2026 - 11:13
Demo walkthrough: one CI waste definition in a Unity Catalog Page drives the dlt pipeline, the model, the metric view and Genie's answer.
Adopting a data lakehouse doesn’t mean retiring the cloud data warehouse on day one. Most …
At the Expedition 2026 event, Snowflake unveiled a sweeping architectural evolution, transitioning from a cloud data platform into a unified engine for autonomous AI agents, real-time streaming applications, and conversational business...
Data in operational databases drives business decisions, and much of that analysis...
One CIO built his own orchestration layer. Another consolidated onto a platform. A third moved off homegrown. And...all three were right.
How we turned Cursor into an analytics operating system that pairs warehouse data, live MCP tools, and governed metrics.
Move MongoDB to S3 as Parquet with Atlas Data Federation, AWS DMS, Spark or a managed pipeline. Compare how each handles nested documents and deletes.
Fivetran + dbt Labs is the trusted data foundation for enterprise AI.
The MongoDB CDC connector for ClickPipes is now generally available, with parallel snapshotting, structured ingestion into typed columns, lag and resource metrics, and Terraform and OpenAPI support.
Compare streamhouse and lakehouse data architectures, learn which workloads each one fits and how they complement each other.
This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS.
Simpler, more reliable and secure. Neo4j Connector for Apache Kafka and Confluent v6 is out. It’s simpler to configure, more reliable and more secure for event-driven knowledge graph systems built on Neo4j.
We are releasing our new observability UI, the interface to the dltHub context graph, to General Availability. Find out how this will help you solve missing data when everything looks right at the surface from your pipelines.
Mercor on Vercel Batch jobs cut from 12 hours to 2 hours 18M requests and 63B tokens routed through AI Gateway in 10 days Expert access provisioned in seconds via Vercel Passport Over 2,000 projects created by hundreds of internal builders...
A practical guide to multi-tenant CDC with PostgreSQL, tenant-aware keys, and shared analytics tables using Estuary.
After years building kdb+-based data platforms for banks and hedge funds, Ryan Hamilton wanted an analytical engine he could recommend to smaller teams without specialized infrastructure or expensive licensing.
Graphiant is Confluent's 2027 Americas Startup of the Year. Discover how it uses Apache Kafka and real-time data streaming for network observability.
Data teams often maintain uniqueness guarantees in their pipelines, but without a...
Bon Secours Mercy Health (BSMH) announces that Dylan Clark, chief analytics and artificial intelligence (AI) officer, has been named to Becker’s 2026 “Hospital and Health System AI Leaders to Know” list.
Agents can build a MotherDuck Flight in minutes. But how do you know it does what you asked? Flight Explainer is EXPLAIN ANALYZE for your pipelines: a live chart of every run showing the plan, which branch it took, how far each step got...
Explore Unity Industry 2026 product releases, from Unity Studio and Pipeline Automation to Simulation Pro, AI Workflows, SOC 2 Type 2, HMI, and Q4 plans.
AI Functions in dynamic Iceberg tables: pay the model only for changed rows On Monday, someone improves the summary prompt. It’s a good change: the output is shorter, with no chatty preamble. On Tuesday, the backfill starts.
Connecting an industry built on disconnected dataConstruction runs on data that rarely sits in one place...
Release automation moves code from build to production without manual steps. Learn how it works, where AI fits, and how to automate the release step.
Summary of the 16:00 Panel discussion: The future of data teams and their tools hosted by MotherDuck
Equality deletes are expensive to read, easy to accumulate, and awkward for row lineage and …
The Apache Software Foundation is proud to announce the release of Apache Kafka® 4.4.0. This release contains many new features and improvements.
AWS Batch quota management is a new scheduling capability you can use to divide GPU capacity into quota shares per team or project, automatically lend idle capacity across shares, and use preemption to run your highest-priority SageMaker...
Learn to add token streaming and local interruption management to a Claude – Anthropic’s AI assistant – and Twilio Voice ConversationRelay integration using JavaScript.
We asked 73 data people about AI Analytics: 59% are already using AI with their data, 44% want it all self-hosted, and 31% of poll voters don’t know what a semantic layer is. A small, unscientific snapshot from AI Analytics Week.
Connect Spark 4 to Apache Polaris with the Iceberg REST catalog, OAuth credentials, catalog scopes, and storage credential vending, then verify writes.
Estuary and CorrDyn benchmarked 7 cloud data warehouses across 244 queries, measuring performance, scalability, and cost from 1 GB to 1 TB.
Every de-identification program reaches the same moment. A new batch arrives, a million notes from a new hospital, a new note type, a year of fresh records. Someone asks:...
See how to use Kiro, an agentic AI, to automate converting raw training material into compliant SCORM packages that are ready to upload to a learning management system (LMS).
Learn how a NetSuite-Snowflake integration works. Explore methods like ETL tools, iPaaS solutions, and NetSuite Integration Platform, and how to set them up.
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