Big Data refers to Information resources whose characteristics in terms of volume, velocity and variety require the use of particular technologies and analytical methods to generate value and which generally exceed the capabilities of a single machine and require parallel processing..
Hadoop is an open source, java based framework used for storing and processing big data. The data is stored on inexpensive commodity servers that run as clusters. Its distributed file system enables concurrent processing and fault tolerance. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.
Big Data is treated like an asset, which can be valuable, whereas Hadoop is treated like a program to bring out the value from the asset, which is the main difference between Big Data and Hadoop. Big Data is unsorted and raw, whereas Hadoop is designed to manage and handle complicated & sophisticated Big data.
Zillow, Redfin and Trulia are companies using Hadoop and big data to democratize data for real estate consumers through customer analysis. Roughly 350+ big companies use Hadoop in their stack, below are the listing:
Big Data is a fast growing field with exciting opportunities for professionals in all industries and across the globe. With the demand for skilled big data professionals continuing to rise, now is a great time to enter the job market. Big Data is influencing the IT industry like few technologies or trends have done so before, it can help companies improve their decision-making and compete on another level.
While there are no strict requirements for learning Big Data Hadoop, basic knowledge in the following areas will make it easier to grasp the course:
NOTE: People who have a bachelor’s or Master’s degree in science, mathematics, engineering, finance, economics or statistics can grasp Big data Hadoop with ease.
Few popular Big Data job titles are listed below: