Observability has a data problem. AI is about to make it worse.
Observability is entering a new phase now that OpenTelemetry has standardized instrumentation for data collection. Unfortunately, the observability…
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AWS Introduces Specification Driven Composition for Flexible Data Workflows
AWS describes a specification-driven approach for composing flexible data workflows by separating intent from processing logic. Architecture uses de…
Data Intelligence: Building Your Competitive Advantage in the Era of AI
To keep pace with modern business, data strategy is shifting toward more autonomous real-time systems that deliver intelligence at the moment decisi…
Spotify Builds External Index to Enable Low Latency Point Queries on Its Data Lake
Spotify introduced external indexing architecture for Apache Parquet data lakes that enables low-latency point queries without replicating datasets…
Modus’s operandi: To give AI agents just the right amount of context
As more companies plug AI agents into the deepest depths of their internal data banks, how can they be sure The post Modus’s operandi: To give…
Podcast: Rethinking Data: Moving From the Traditional Three-Tier Web Stack to Client-Side Event Sourcing
Johannes Schickling explores how he moved beyond the traditional three-tier web stack to a local-first approach. He shares his experience transition…
Presentation: Autonomous Data Products for the Autonomous Era: Rethinking Data Architecture for GenAI
Jörg Schad explains how to tame the complex "data management hairball" to build scalable, safe architectures for AI. He shares how autonomous data p…
Spark 4.2 has a feature that could retire your vector database
Apache Spark 4.2 launched last week, and it signals an expansion of Spark’s decade-plus role at the center of enterprise The post Spark 4.2 ha…
Why every AI agent decision needs a receipt
A conversion-rate alert fires 30 minutes after a pricing engine deploys updated discount rules. The analytics platform holds millions of The post Wh…
AI can finally read your handwriting — here’s why enterprises care
The seemingly unquenchable thirst of the AI data ingestion pipeline spans language, numerical, and tabular data in the first instance, while Th…
Evolutionary Data Through Schemaboi: Achieving Forward, Backwards, and Sideways Compatibility
Drawing from the enduring adaptability of HTML and HTTP, Seph Gentle proposes embedding self-contained schemas directly into file headers, ensuring…
Prefect just bought Dagster, another big Airflow rival — and it’s not a data pipeline story
Prefect, best known for the eponymous open-source data pipeline and workflow orchestrator, has announced that it’s acquiring Dagster, one of T…
Presentation: Accelerating Netflix Data: A Cross-Team Journey from Offline to Online
Raj Ummadisetty and Ken Kurzweil share Netflix's architectural pivot to CloudStream, a repeatable capture, conversion, and deployment framework. The…
The “silent hallucination” loop: how our autonomous data pipeline poisoned its own vector store
Nothing matches the dread of checking a perfectly green observability dashboard with sub-100ms latency, right before an enterprise client emails The…
The organizational iceberg: the invisible data breaking your AI agents
When building data platforms for large institutions, we often make decisions based on what we can see, ignoring blind spots, The post The organizati…
Shopify taught AI to spot duplicate products. Here’s why retailers are scrambling.
Retailers are rushing to make their product listings discoverable by AI shopping agents, but AI assistants often struggle to determine The post Shop…
Template-based data extraction is dead. Here’s what comes next.
Modern businesses are in a constant, uphill battle against what to do with unstructured data: PDFs, contracts, scanned images, customer The post Tem…
The database storage problem is solved. Here’s what comes next.
For most of its 30-year history, Postgres has been viewed as a transactional database. Organizations trust it with customer records, The post The da…
“A data lake of nuance for AI agents to swim in”: AWS Context gets shipshape on reasoning
AI consumes a lot of data, but all-you-can-eat data in the world of agentic intelligence eventually loses its flavor. Simply The post “A data lake o…
Your AI isn’t broken. Your data is.
Enterprises are pouring billions into AI and getting garbage back. A new startup says it knows why and has built The post Your AI isn’t broken…
The siloed-data era is over. Here’s what comes next for AI agents.
Some 700 million people now use ChatGPT every week. Now, the next phase of AI is well underway, as agentic The post The siloed-data era is over. Her…
“The manual model breaks”: What happens when agents write to production data
Beneath the chatbots and copilots, there’s a quiet revolution happening in the data services space. From pure-play database vendors to The pos…
Databricks wants to kill the “email me a file” problem for AI agent skills
Databricks on Wednesday launched OpenSharing, the successor to its open-source Delta Sharing protocol. This updated protocol adds support for Apache…
When your data model is the bottleneck: lessons from Medium’s feature store
“Keep readers reading” is the not-so-simple goal of Medium’s recommendations system. To predict what’s most likely to appeal…
For years, Apache Cassandra handed this work to your team — 6.0 takes it back
Apache Cassandra releases tend to be evaluated on roughly the same terms. What can it do now that it couldn’t The post For years, Apache Cassa…
Presentation: Beyond Speed Limits: Exploring the Performance Power of Valkey
Senior Solution Architect Viktor Vedmich shares how engineering leaders can maximize application performance using Valkey. He discusses the open-sou…
Presentation: Architecting a Centralized Platform for Data Deletion at Netflix
The speakers discuss the architectural challenges of executing safe data deletion across distributed datastores. Balancing durability, availability…
Rayfin: Microsoft’s answer to the gap between vibe coding and enterprise production
Vibe coding has made it easier than ever to build applications. Getting those applications into enterprise production is still the The post Rayfin:…
Microsoft bets the enterprise AI race will be won on data context, not model power
Microsoft used its Build 2026 developer conference on Tuesday to note that the hard part of enterprise AI is no The post Microsoft bets the enterpri…
Fivetran’s CPO: Closed data stacks won’t survive the agent era
An AI agent let loose on a data warehouse can run ten or a hundred times more queries than a The post Fivetran’s CPO: Closed data stacks won&#…