Tech Threads

Big Data generation statistics

To understand Big Data generation statistics in nutshell, let’s take the example of Facebook and Google. People around the globe continuously using Google, Facebook and making data generation a continues process. Facebook is collecting our data more than 500 terabytes (1000 X 500 Gigabytes) a day which includes 2.9 billion Likes per day. More than 350 million photos uploaded per day. Data per day processed by Google 24 petabytes (24 X 1,000,000,000,000,000 bytes). 400 hours of video are uploaded to YouTube every minute.
The Apache Cassandra database is accurate adoption when we need scalability and high availability
without compromising performance. Facebook uses it for its Inbox search. Initially Cassandra was developed by Facebook and later outsource to Apache community as open source.

 

 

 

 

Page: 1 2

Recent Posts

The Significance of Complex Event Processing (CEP) with RisingWave for Delivering Accurate Business Decisions

Complex event processing (CEP) is a highly effective and optimized mechanism that combines several sources… Read More

3 months ago

Principle Of Data Science

Source:- www.PacktPub.com This book focuses on data science, a rapidly expanding field of study and… Read More

3 months ago

Integrating Apache Kafka in KRaft Mode with RisingWave for Event Streaming Analytics

Over the past few years, Apache Kafka has emerged as the top event streaming platform… Read More

3 months ago

Criticality in Data Stream Processing and a Few Effective Approaches

In the current fast-paced digital age, many data sources generate an unending flow of information,… Read More

4 months ago

Partitioning Hot and Cold Data Tier in Apache Kafka Cluster for Optimal Performance

At first, data tiering was a tactic used by storage systems to reduce data storage… Read More

5 months ago

Exploring Telemetry: Apache Kafka’s Role in Telemetry Data Management with OpenTelemetry as a Fulcrum

With the use of telemetry, data can be remotely measured and transmitted from multiple sources… Read More

6 months ago