Rise of Big Data and Hadoop
how big MNC’s like Google, Facebook, Instagram etc stores, manages and manipulate Thousands of Terabytes of data with High Speed and High Efficiency.
Do you ever get curious about how Google, Facebook, Amazon, big MNCs like these handle big amount of data that comes from a big number of customers they have? how they store this data and how they use it to gain profits and customer satisfaction?🤓
The term Big Data is being increasingly used almost everywhere on the planet and theses MNCs also manage and process their data using big data
Facebook revealed some big, big stats on big data to a few reporters at its HQ, including that its system processes 2.5 billion pieces of content and 500+ terabytes of data each day. It’s pulling in 2.7 billion Like actions and 300 million photos per day, and it scans roughly 105 terabytes of data each half-hour.
Big data is nothing but the data in huge amount, but what is more interesting is how this large amount of data is processed, analyzed, and used for the company’s profit, here is when big data analytics comes in the picture.
Big data Analytics is helping large companies to facilitate their growth
and development.
This involves applying various data mining algorithms on the given
set of data which will then aid these organizations in taking better
decisions.
Big data is generated because of:🧐
1]Social Networks and Web data: Facebook, Twitter, e-mails, blogs, YouTube, etc.
2]Transactions data and Business Processes Data: credit card transactions,
3]flight bookings, medical records, insurance business, etc.
4]Customer master Data: facial recognition, name, DOB, marriage
anniversary, gender, etc.
5]Machine-generated data: Internet of things data, data from sensors,
trackers, weblogs. Computer-generated data, use of database files, etc.
6]Human-generated Data: biometric data, e-mail records, blogs,
photographs, audio, and video clips.
Big data refers to data sets whose size is beyond the ability of typical
database software tool to capture, store, manage and analyze.
The challenge here is how can we store this large amount of data
and this problem arises because of the volume and velocity of data.
To solve the problem of Big data a new concept was introduced known as distributed storage system, and the product of this concept is known as Hadoop.
What is Distributed Storage? A distributed storage system is an infrastructure that can split data across multiple physical servers, and often across more than one data center. It typically takes the form of a cluster of storage units, with a mechanism for data synchronization and coordination between cluster nodes.
What is Hadoop? Hadoop is a highly scalable analytics platform for processing large volumes of structured and unstructured data. By large scale, we mean multiple petabytes of data spread across hundreds or thousands of physical storage servers or nodes
Have you ever thought why companies adopt Hadoop as a solution to Big Data Problems? 🤔
Big Data demands a cost-effective, innovative solution to store and analyze it. Hadoop is the answer to all Big Data requirements. So, let’s explore why Hadoop is so important.
“Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 42.1%”
As the market for Big Data grows there will be a rising need for Big Data technologies. Hadoop forms the base of many big data technologies. The new technologies like Apache Spark and Flink work well over Hadoop. As it is an in-demand big data technology, there is a need to master Hadoop. As the requirements for Hadoop professionals are increasing, this makes it a must to learn technology.
we can say that Hadoop is an open-source framework. Hadoop is best known for its fault tolerance and high availability feature. Hadoop clusters are scalable. The Hadoop framework is easy to use.
It ensures fast data processing due to distributed processing. Hadoop is cost-effective. Hadoop data locality feature reduces the bandwidth utilization of the system.
Hope you find this blog useful and informative. Comment you thoughts below, Any reviews and comments are welcome
Let’s learn and grow together. 🤩
