How do multinational companies handles such huge amount of data?

Every second 6000 tweets are posted on twitter, i.e 350,000 tweets posted per minute.

Around 300 hrs of video are uploaded on YouTube every minute i.e YouTube collect 440,000 terabyte of data per day.

Over 300,000 photos and videos are shared on Instagram per minute.

3.5 billion searches on Google each minute process 20 petabyte of data per day.

On Facebook 510,000 comments are posted, 350,000 statuses are updated and 250,000 photos are uploaded. Collects around 105 terabyte data per day.

This is a huge data for any company. So the question arises where they store this big data?

Big data is major growing problem that companies are facing. Storing big data is not the only problem , there are problems like velocity and processing of big data.

Multinational Companies use the concept of Distribution storage & parallel computing system. In distribution storage concept , large data is distributed in different systems. Data is distributed between cluster nodes which resolve storage problem as well as improves velocity, processing and security. Also clusters can be added time to time whenever needed.

Most of companies uses Hadoop to implement distribution storage cluster. There are many other technologies like Apache Hive, HBase, Apache Kafka , Spark, NoSQL databases, Mongo DB, Apache Cassandra and many more.

Facebook uses Hive for parallel map- reduce operations and Hadoop for data storage.

This is how Multinational companies handle big data.

Thanks for reading!