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What do you mean by Big Data? Over recent years, Big Data has been in the news. This refers to data that is very large and big. Generally, users work with data with MB or GB sizes, but if the data is in Petabytes, it becomes Big Data. Today, over 90% of the data has been generated in the last few years.
There are several sources like-
Big Data comprises of 3V’s
Velocity- This data is increasing fast, and there are estimates that this volume of data will double every two years.
Variety- Today, data is no longer collected and stored in columns and rows. This data is structured and unstructured. The CCTV footage and log files are examples of unstructured data. Data that can be stored in tables like the bank's accounting transactions is an example of structured data.
Volume- the amount of data that you deal in is large and the size of petabytes. A vast quantity of unstructured data has to be stored, then processed, and finally analyzed.
The following are the key points via which Big Data resolves problems-
An overview of Hadoop
Hadoop is an open-source database sourced by Apache and used for the analysis and process of data large in volume. Hadoop does not use the online analytical processing and OLAP and is written in the JAVA language. This database is used for offline and batch processing. Companies use Hadoop like Google, Facebook, Twitter, LinkedIn, and more credible companies. The database can be easily scaled up with the addition of nodes in the database cluster.
What are the modules of the Hadoop database?
Esteemed company in the field of database managed services, RemoteDBA says Hadoop is best suited for large data sets. Given below are the main modules of the database-
The Hadoop architecture is a complete package of the system of files, HDFS, and MapReduce engine. This can be Yarn/MR2 or MapReduce/MR1. One cluster under Hadoop has a single master and several slave nodes. This master node has a task tracker, a job tracker, a name node, and a data node. The slave node includes the task tracker and data node.
Benefits of the Hadoop database
Given below are the advantages of Hadoop database -
The Hadoop database is fast and flexible. This is why it is the ideal solution for large data solutions. It can be easily scalable and helps to collect vast amounts of data on affordable servers.
Hadoop is a database that helps with Big Data; however, it does have some security concerns. If businesses can take care of this, it is ideal for streamlining large volumes of data in a fast and flexible manner.
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