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Achieve true agency over your data with the Snowflake Interoperable Lakehouse. Unify storage, governance, and semantics with managed Apache Iceberg.
A hurricane is forming in the Florida Gulf. As an insurer, you need to answer key...
Why Delta Lake? Apache Parquet on cloud storage was a great first step for data lakes — but it left engineers dealing with a painful set of problems in production: No ACID transa...
Unity Catalog was designed for interoperability at scale. Enterprises have the flexibility...
If you've worked on a data platform for more than a few years, you've almost certainly built the same pipeline twice. First, the way the team wrote pipelines in 2019: a notebook he...
Databricks Lakebase is a fully managed, serverless Postgres database built for the...
The Data That Can't MoveFor years, the enterprise data strategy was simple: move...
The next phase of the open lakehouse will be defined by the catalog. Open table formats...
The Data Challenge Every industry has its version of the same data engineering problem: massive, complex payloads generated at the edge — far from the cloud, often on unreliable ne...
Five surfaces collapsed into one declarative layer. Here's the full story of Materialized Lake Views in Microsoft Fabric - from syntax to the new GA capabilities The post Materiali...
In this post, we demonstrate how BigBasket implemented the lakehouse architecture on AWS, including their architecture decisions, implementation approach, and the measurable busine...
In many enterprise lakehouse environments, the biggest ingestion challenge is not data volume; it is inconsistency. As platforms grow, data starts arriving from many different syst...
Building scalable data systems often feels like navigating an endless sea of shifting paradigms. Engineers and architects are constantly forced to choose between centralizing data...
Moving data from your operational database has traditionally meant setting up and...
This post focuses on explaining the architecture approach to build the open lakehouse architecture on AWS, unifying the metadata catalog across providers for the AI agents to acces...
Many data engineers spend significant time managing compatibility and getting best performance across multiple analytics engines. To help solve this pain point, we are excited to a...
with Ethan Urbanski
Telemetry data is everywhere. IoT sensors on factory floors. Satellite arrays scanning...
In this post, we demonstrate reading from and writing to Lake Formation-managed S3 locations using Apache Spark jobs from EMR. Lake Formation credential vending for S3 location acc...
Purpose and Core ComponentsA data pipeline is the automated system that moves raw data from source systems...
When I started my PhD at UC Berkeley 16 years ago, my advisor told me: "OLTP databases...
A data warehouse is a centralized repository that collects, organizes, and stores...
Raw data doesn't win model competitions. Features do. And when your raw data is tens of billions of rows sitting across multiple sources, you can't afford to run pandas in a notebo...
Discover how a Metadata Hub unifies your data estate. Learn how Snowflake Horizon Catalog enables cross-platform governance controls without data migration.
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