Remove Big Data Remove Blockchain Remove Efficiency Remove Systems
article thumbnail

Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

And we still have a lot of great sessions covering other hot topics: digital transformation, security, AI, machine learning, blockchain, etc. Computing System Congestion Management Using Exponential Smoothing Forecasting by James Brady, State of Nevada. Boris has unique expertise in that area – especially in Big Data applications.

article thumbnail

Software Testing Trends 2021 – What can we expect?

Testsigma

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. Blockchain Tests. IoT Test Automation. billion in 2016. billion in 2020.

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

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

All Things Distributed

A region in India has been highly sought after by companies around the world who want to participate in one of the most significant economic opportunities in the world – India, a rising economy that holds tremendous promise for growth, a thriving technology hub with a rich eco-system of technology talent, and more.

AWS 90
article thumbnail

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

The Morning Paper

” Crusher is a Google system for automatically discovering email templates (e.g. Could it be Analyzing efficient stream processing on modern hardware ? On one of the themes that captures my imagination, how changing hardware platform influence system design: Rethinking database high availability with RDMA networks.

article thumbnail

Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. created_utc?? ?

article thumbnail

Structural Evolutions in Data

O'Reilly

” Web3 has similarly progressed through “basic blockchain and cryptocurrency tokens” to “decentralized finance” to “NFTs as loyalty cards.” Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.”