Twitter migrates some infrastructure on Google Cloud
Hadoop from Apache is an open-source software for organising Big Data. The Hadoop compute system is the core of Twitter`s data platform, and the company runs multiple large Hadoop clusters that are among the biggest in the world.

Twitter will move some of its core infrastructure to Googles Cloud Platform for better data management, the company has announced. "We are excited to announce that we are working with Google Cloud to move cold data storage and our flexible compute Hadoop clusters to Google Cloud Platform," Parag Agrawal, Chief Technology Officer at Twitter, said in a blog post on Thursday.
"This will enable us to enhance the experience and productivity of our engineering teams working with our data platform," he added.
Hadoop from Apache is an open-source software for organising Big Data.
TRENDING NOW

Animal vs Sam Bahadur Box Office Collection Day 9: Animal crosses Rs 600 crore club, beats Sam Bahadur | Check day-wise collection

Post Office Time Deposit Scheme: Interest up to 7.5%, guaranteed returns, fixed income, preclosure rules, other benefits

India vs South Africa 1st T20I Free Live Streaming: When and Where to watch IND VS SA T20I series Match LIVE on Mobile Apps, TV, Laptop, Online

NPS (National Pension System): How to create a corpus of Rs 5 crore with Rs 442 investment/day? After retirement, you will get Rs 2.5 lakh every month

Animal Box Office Collection: Ranbir Kapoor-starrer touches Rs 600 crore mark worldwide | Check OTT release details
The Hadoop compute system is the core of Twitter`s data platform, and the company runs multiple large Hadoop clusters that are among the biggest in the world.
"In fact, our Hadoop file systems host more than 300PB of data across tens of thousands of servers," Agrawal said.
WATCH ZEE BUSINESS VIDEO HERE
Google Cloud Platform's data solutions and trusted infrastructure will provide Twitter with the technical flexibility and consistency that its platform requires.
The migration, when complete, will enable faster capacity provisioning, increased flexibility, access to a broader ecosystem of tools and services and improvements to security.
"Architecturally, we will also be able to separate compute and storage for this class of Hadoop workloads, which has a number of long-term scaling and operational benefits," the post read.
12:58 pm