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Starting with a local Parquet file, then joining it to data stored in the cloud The post Building a Data Lakehouse with DuckDB and DuckLake appeared first on Towards Data Science.
The warehouse was the right answer for 20 yearsThe data warehouse earned its place. For two decades...
Today, we are excited to announce enhancements to the borderless Lakehouse, our answer to how data engineers, data scientists, and increasingly, AI agents, can query governed data...
In our previous posts, we showed how open table formats, open APIs and unified governance...
We are headed to VLDB 2026 to share multiple innovations that power the Databricks platform...
Agents that interact with a traditional OLTP database often create bottlenecks at the storage layer. New deployments...
Making a Databricks-owned Delta table queryable from Snowflake without copying it is one of those things where every individual piece — Delta Lake UniForm, Unity Catalog, private c...
Multi-Statement Transactions are Generally Available, enabling organizations to run...
As customers modernize to lakehouse architectures, they are standardizing on open formats such as Apache Iceberg to create a shared data estate across compatible engines. This enab...
The disaggregated storage model of Lakebase Postgres provides a feature rich, flexible...
Operational databases like Postgres are built to reliably execute highly concurrent...
The reality for most organizations is that data lives everywhere. As engineering teams expand and adopt specialized platforms for their workloads, enterprise data naturally dispers...
Razor Group, one of Europe's leading ecommerce aggregators managing 250+ brands, migrated from always-on Amazon Redshift clusters to an open lakehouse on Apache Iceberg, Amazon S3...
Спор о формате таблиц для lakehouse, похоже, закончился, Iceberg сегодня поддерживают Trino, Spark, ClickHouse, Snowflake и дальше по списку, так что следующим приходится выбирать...
Data has always been central to business decision-making, and most analytical workloads...
Learn how to pair DuckDB with AWS Glue 6.0 to run SQL-centric ETL on a single worker, reading Parquet from Amazon S3 and writing Apache Iceberg tables to Amazon S3 Tables. This pos...
Learn how to build a dynamic streaming data lake on Amazon Managed Service for Apache Flink that adapts to new event types and schema changes without stopping the pipeline, using A...
How many files does your query read before it reads any data? On some data lakes, you go through JSON and metadata files first, just to learn which Parquet files matter. DuckLake a...
AWS Aurora PostgreSQL now queries Iceberg and Parquet data in S3 without ETL, using DuckDB and familiar SQL. See versions, setup, limits, and costs. The post AWS Aurora PostgreSQL...
A few years back, I sat through a production incident review where the root cause turned out to be a single stored procedure nobody on the team had touched in four years. The origi...
AWS Glue 6.0 with Apache Spark 4.1 adds support for Apache Iceberg v3: native geospatial types, nanosecond-precision timestamps, the VARIANT type, and DEFAULT column values. This p...
Amazon Redshift now supports Iceberg materialized views. Compute an aggregation once in Amazon Redshift and store the result as a standard Apache Iceberg table in Amazon S3, querya...
the Lakehouse expands to multi-modal
IP data is warehousing dataEvery firewall, load balancer, VPN, CDN edge, DNS resolver,...
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