{"id":5613,"date":"2020-08-01T08:44:28","date_gmt":"2020-08-01T08:44:28","guid":{"rendered":"https:\/\/www.gologica.com\/elearning\/?p=5613"},"modified":"2025-01-07T12:11:13","modified_gmt":"2025-01-07T12:11:13","slug":"what-are-the-differences-between-big-data-hadoop-and-data-science","status":"publish","type":"post","link":"https:\/\/www.gologica.com\/elearning\/what-are-the-differences-between-big-data-hadoop-and-data-science\/","title":{"rendered":"What are the differences between Big Data Hadoop and Data Science?"},"content":{"rendered":"

Big Data Hadoop <\/strong><\/p>\n

Big data is a collection of enormous datasets that cannot be processed by using traditional computing techniques. It is not one technique or a tool, rather it\u2019s become a whole subject, that involves different tools, techniques, and frameworks.<\/p>\n

Hadoop is an Apache open-source framework written in Java that permits the distributed process of enormous datasets across clusters of computers using easier programming models. The Hadoop framework application works in an environment that gives distributed storage and computation across clusters of computers. Hadoop is meant to be scaled up from a single server to thousands of machines, each offering local computation and storage.<\/p>\n

\"Big<\/a><\/figure>\n

The Benefits of Big Data are:<\/p>\n

\u2022Utilize the information kept on social networks like Facebook, the marketing agencies are learning about the response for their campaigns, promotions, and other advertising media.<\/p>\n

\u2022Make use of the information in social media like preferences and product perception of their consumers, product companies, and retail organizations are planning their production.<\/p>\n

\u2022Utilize the information regarding the previous medical history of patients, hospitals are providing better and quicker service.<\/p>\n

The Benefits of Hadoop are:<\/p>\n

\u2022Hadoop is highly scalable<\/p>\n

\u2022Hadoop also offers a cost-effective storage solution for businesses’ exploding data sets.<\/p>\n

\u2022It is so flexible<\/p>\n

\u2022Resulting in much faster data processing.<\/p>\n

\u2022Resilient to failure<\/p>\n

Hadoop Architecture<\/strong><\/p>\n

MapReduce:\u00a0<\/strong>MapReduce may be a parallel programming model for writing distributed applications devised at Google for the systematic process of enormous amounts of information (multi-terabyte data sets), on massive clusters (thousands of nodes) of commodity hardware in a reliable and fault-tolerant manner. Then, the MapReduce program runs on Hadoop which is an Apache open\u2013source framework.<\/p>\n

Hadoop Distributed File System: <\/strong>The Hadoop Distributed File System (HDFS) relies on the Google File System (GFS) and provides a distributed file system that is designed to run on commodity hardware. It has several similarities with existing distributed file systems. However, the variations from different distributed file systems are more significant. It is extremely fault-tolerant and is designed to be deployed on low-price hardware. It gives high throughput access to application information and is appropriate for applications having massive datasets.<\/p>\n

Data Science<\/strong><\/p>\n

Data Science is about extraction, preparation, analysis, visualization, and maintenance of information. It is a cross-disciplinary field that uses scientific methods and processes to draw insights from data.<\/p>\n

The various Benefits of Data Science:<\/p>\n

\u2022It is in Demand<\/p>\n

\u2022Abundance of Positions.<\/p>\n

\u2022A Highly Paid Career<\/p>\n

\u2022It is Versatile<\/p>\n

\u2022Data Science Makes Data Better<\/p>\n

\u2022Data Scientists are Highly Prestigious<\/p>\n

\u2022No More Boring Tasks<\/p>\n

\u2022Data Science Makes Products Smarter<\/p>\n

\u2022Data Science can Save Lives<\/p>\n

\u2022Data Science Can Make You A Better Person<\/p>\n

Key Differences between Data Science and Big Data Hadoop <\/strong><\/p>\n<\/p>\n