







Dremel is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. The system ...
Your Data Fits in Memory (GraphD Part 1)
We need a fast way to query multiple potentially large sets of data on-demand at interactive speeds. Sometimes the easiest solution to a hard problem is to build the right tool for the job.

Apache Iceberg: The Definitive Guide | Dremio
Learn everything about Apache Iceberg, the open table format for big data, in this definitive guide by Dremio. Discover best practices, architecture insights, and implementation strategies.

Dynamic Data Science
<p>Use our Common Online Data Analysis Platform (CODAP) to explore dynamic data science activities and gain fluency in data moves to examine large datasets.</p>

Designing Data-Intensive Applications
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and... - Selection from Designing Data-Intensive Applications [Book]
Parallel Web Systems | Infrastructure for intelligence on the web
Parallel's new FindAll API turns natural language queries into custom datasets from the web. It finds entities like companies, people, or locations based on your criteria, then enriches them with structured data—all with citations. FindAll Pro achieves 61% recall, 3x better than competitors.

Designing Data-Intensive Applications
Data is at the center of many challenges in system desi…

Semantic Data Modeling, Graph Query, and SQL, Together at Last?
Our teams advance the state of the art through research, systems engineering, and collaboration across Google.

DASL — Data-Addressed Structures & Links
A small set of simple, standard primitives to work on content-addressed data.

DASL — Data-Addressed Structures & Links
A small set of simple, standard primitives to work on content-addressed data.

Kyle Mathews on Twitter / X
D2TS enables really powerful streaming joins, aggregations, etc. and will be powering a lot of Electric features in the future!This is an early preview but very cool tech. First Typescript implementation of Differential Dataflow afaik. https://t.co/i4qSJnVZWV— Kyle Mathews (@kylemathews) February 28, 2025
Designing Data-Intensive Applications (DDIA) — an O’Reilly book by Martin Kleppmann (The Wild Boar Book)
NoSQL… Big Data… Scalability… CAP Theorem… Eventual Consistency… Sharding…
WDC - RDFa, Microdata, and Microformat Data Sets
More and more websites have started to embed structured data describing products, people, organizations, places, and events into their HTML pages using markup standards such as Microdata, JSON-LD, RDFa, and Microformats. The Web Data Commons project extracts this data from several billion web pages. So far the project provides 12 different data set releases extracted from the Common Crawls 2010 to 2023. The project provides the extracted data for download and publishes statistics about the deployment of the different formats.
Data integration | Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.

ParadeDB — Search without a second system
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
