Tag: Data Lakehouse
All the articles with the tag "Data Lakehouse".
- 20 MIN READ•May 23, 2026
An In-Depth Overview of the Apache Iceberg 1.11.0 Release
Apache Iceberg 1.11.0 delivers manifest list encryption, the new pluggable File Format API, credential lifecycle refreshes, and Spark/Flink improvements.
Apache IcebergData LakehouseOpen Table Format - 21 MIN READ•May 22, 2026
Building a Multicloud Agentic Lakehouse Reference Architecture
A reference architecture for building an open, multicloud Data Lakehouse optimized for AI Agents using Apache Polaris, Apache Iceberg, and Dremio.
data lakehouseagentic lakehouseapache polaris - 21 MIN READ•May 22, 2026
Common Misconceptions About Data Lakehouse and Apache Iceberg
Addressing common search queries and reader confusion about Data Lakehouse architectures, Apache Iceberg catalogs, partitions, and lock-in.
data lakehouseapache icebergdata engineering - 4 MIN READ•Mar 7, 2026
Agentic Analytics on the Apache Lakehouse
If you grant a Large Language Model direct access to a raw Amazon S3 bucket filled with Parquet files, it will fail to answer your business questions....
data lakehouseapache icebergapache parquet - 4 MIN READ•Mar 7, 2026
What is Apache Arrow? Erasing the Serialization Tax
If you pull a million records from a database into a Python notebook, the query runs instantly, but the transfer feels endlessly slow. Your compute en...
data lakehouseapache icebergapache parquet - 5 MIN READ•Mar 7, 2026
What is Apache Iceberg? The Table Format Revolution
If you drop ten thousand Parquet files into an S3 bucket, you have a data swamp. You do not have a database. To run SQL queries against those files sa...
data lakehouseapache icebergapache parquet - 4 MIN READ•Mar 7, 2026
What is Apache Parquet? Columns, Encoding, and Performance
If you ask a data analyst to calculate the average transaction amount for the month of July using a massive CSV file, the compute engine must read eve...
data lakehouseapache icebergapache parquet - 21 MIN READ•Mar 7, 2026
What is Apache Polaris? Unifying the Iceberg Ecosystem
Treating thousands of Parquet files as a unified database table requires a brain. Apache Iceberg provides the metadata structure to do this, but the Iceberg specification alone does not manage security roles, handle network requests, or broker credentials. You need an open catalog service to orchestrate those root metadata pointers. Apache Polaris serves as that open-source, vendor-neutral brain. This comprehensive guide explains the catalog fragmentation war, open governance under the Apache Software Foundation, role-based access control hierarchies, credential vending vs IAM sprawl, and how Polaris powers Dremio's agentic query acceleration.
data lakehouseapache icebergapache parquet - 6 MIN READ•Mar 7, 2026
Apache Software Foundation: History, Purpose, and Process
If you build a modern data lakehouse, you inevitably stack Apache Iceberg, Apache Parquet, and Apache Arrow. These projects dictate how you store, que...
data lakehouseapache icebergapache parquet - 4 MIN READ•Mar 7, 2026
Assembling the Apache Lakehouse: The Modular Architecture
For decades, the standard data architecture was monolithic. When you bought a data warehouse, you bought a single box where the vendor tightly coupled...
data lakehouseapache icebergapache parquet - 11 MIN READ•Mar 1, 2026
Connect Apache Druid to Dremio Cloud: Add SQL Joins, AI, and Governance to Your Real-Time Analytics
Apache Druid is a real-time analytics database designed for sub-second queries on high-ingestion-rate event data. Clickstream analytics, application monitori...
dremioconnectorsdata federation - 11 MIN READ•Mar 1, 2026
Connect MongoDB to Dremio Cloud: SQL Analytics on Document Data
MongoDB is the most popular NoSQL document database. It stores data in flexible JSON-like documents, making it ideal for applications with evolving schemas - ...
dremioconnectorsdata federation