Remove Analysis Remove Big Data Remove Blockchain Remove Storage
article thumbnail

Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Advanced problem solving that connects big data with machine learning. At-scale computing and visual analysis. We are at the cusp of a dramatic age of technology.

AWS 90
article thumbnail

Even more amazing papers at VLDB 2019 (that I didn’t have space to cover yet)

The Morning Paper

Autoscaling tiered cloud storage in Anna. Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. BlockchainDB – it’s a blockchain underneath, and a database on top.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Should You Use ClickHouse as a Main Operational Database?

Percona

In a partitioned massively parallel database system, the storage format and sorting algorithm may not be optimized for that operation as we are reading multiple partitions in parallel. Text analysis. database: reddit table: rc_2017 mutation_id: mutation_858.txt china','sourceforge','subscription','chinese','kotlin'] ? ?

article thumbnail

Structural Evolutions in Data

O'Reilly

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)