Top Big Data Technologies that you Need to know

Top Big Data Technologies that you Need to know.

Source: https://www.edureka.co/blog/difference-between-big-data-and-hadoop/

 

 

Big Data and Hadoop are the most commonly known terms today. They are related in a way that does not use Hadoop. Big data cannot be processed in this article with Big Data vs Hadoop.

 

Introduction to Big Data

Big data is a term used to compile large data sets and mimic that are stored and processed using existing database management tools or traditional applications. Management, organization Collect, search, share, analyze and visualize data

 

The three big data formats are different, for the first one is Structure: Format data with a fixed schema such as RDBMS. The next one is Semi-structured: Some data is organized, which doesn't have a fixed format, such as XML, JSON. And the last one is Unstructured: Data that is not organized with unknown schemas such as audio files, video files, etc. Next, after we know about big data, we can understand what is big data analysis.

 

What is Big Data Analysis?

In general, most companies use big data analytics to facilitate growth and development. It mainly involves the use of various data mining algorithms in a given data set, which will help them make better decisions. There are many tools for large data processing such as Hadoop, Pig, Hive, Cassandra, Spark, Kafka etc. depending on the needs of the organization.

 

Now, we will start taking about Hadoop. Hadoop is an open-source software framework used for storing and processing large data in a distributed manner on a large hardware portfolio. Hadoop is licensed under the Apache v2 license. Hadoop is developed based on paper. That was written by Google in Map Reduced Systems and uses the concept of programming. Hadoop works in Java programming language and ranks in the highest level of Apache project.

 

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