Dataconomy
  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
Subscribe
No Result
View All Result
Dataconomy
  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

LinkedIn ‘Pinot’, Real-Time Analytics Engine

by Dan Gray
October 14, 2014
in News, Technology & IT
Home News
Share on FacebookShare on TwitterShare on LinkedInShare on WhatsAppShare on e-mail

LinkedIn has rolled out its very own web-scale real-time analytics engine, dubbed Pinot. Designed and built at LinkedIn, Pinot will allow sifting through immense troves of data in real-time across a wide variety of products.

Earlier, LinkedIn used generic storage systems like Oracle (RDBMS) and Voldemort (Key Value Storage),  for their analytics products, writes Praveen Neppalli Naga, Engineering Manager at LinkedIn.

However, inspiration towards development of Penot came with the realisation of wanting infrastructure to support high read QPS with low latencies, current systems lacking OLAP specialization, exponential increment of data in “breadth and depth” and the widening needs across the company thus prompting the setting up of a centralised system.

“LinkedIn is a data driven company and product usage data is critical to the product management teams and they make decisions based on those insights. They require a powerful tool to analyze the data and Pinot is the infrastructure that supports it,” writes Mr. Naga in the blog announcing the development.

In order to cater to the large volume of data, they took to Apache Helix, to parallelize the query processing and Kafka and Hadoop to support the real-time needs of their products.


Join the Partisia Blockchain Hackathon, design the future, gain new skills, and win!


Two years in the making, Pinot is now the “de-facto analytics platform for LinkedIn.”

LinkedIn is setting up a developer community around Pinot to “help take it to the next level and are evaluating turning it into an open source project,” writes Naga.

Follow @DataconomyMedia

(Image Credit: Coletivo Mambembe)

Tags: AnalyticslinkedinPinotWeekly Newsletter

Related Posts

How did ChatGPT passed an MBA exam

How did ChatGPT passed an MBA exam?

January 27, 2023
Google code red: ChatGPT and You.com like AI-powered tools threatening the search engine. Moreover, latest Apple Search rumors increased the danger.

Google code red: ChatGPT, You.com and rumors of Apple Search challenge the dominance of search giant

January 26, 2023
5 best office automation tools: Examples

The significance of office automation in today’s rapidly changing business world

January 24, 2023
T-Mobile data breach 2023 explained: Learn how did the leak happen and explore T-Mobile data breach history. It is not the first time of the company

T-Mobile data breach 2023: The telecom giant got hacked eight times in the last six years

January 20, 2023
What is smart robotics: Benefits and challenges

Unlocking the full potential of automation with smart robotics

January 19, 2023
Microsoft layoffs 2023: Amazon job cuts that affect 11,000 employees explained. Big tech layoffs continue... Learn why and what will happen next.

Microsoft layoffs will affect more than 11,000 employees

January 18, 2023

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

LATEST ARTICLES

How did ChatGPT passed an MBA exam?

AI prompt engineering is the key to limitless worlds

Transform your data into a competitive advantage with AaaS

Google code red: ChatGPT, You.com and rumors of Apple Search challenge the dominance of search giant

Tome AI offers a new way to create presentations easily

Transforming data into insightful information with BI reporting

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy
  • Partnership
  • Writers wanted

Follow Us

  • News
  • AI
  • Big Data
  • Machine Learning
  • Trends
    • Blockchain
    • Cybersecurity
    • FinTech
    • Gaming
    • Internet of Things
    • Startups
    • Whitepapers
  • Industry
    • Energy & Environment
    • Finance
    • Healthcare
    • Industrial Goods & Services
    • Marketing & Sales
    • Retail & Consumer
    • Technology & IT
    • Transportation & Logistics
  • Events
  • About
    • About Us
    • Contact
    • Imprint
    • Legal & Privacy
    • Newsletter
    • Partner With Us
    • Writers wanted
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.