Big Data/Analytics/Hadoop Development


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Big Data relates to the large quantities of data which flow in from multiple data sources and have various formats. Even earlier there was enormous data that were being saved in databases, but due to the different nature of this Data, the conventional relational database systems are incompetent of managing this Data. It is much more than a group of datasets with different formats, it is an important resource which can be used to get innumerable benefits. Hadoop is an open-source software framework which is used for storing data and running the applications on groups of commodity hardware. It also gives a massive storage for any type of data, huge processing power and the capacity to manage virtually limitless parallel tasks or jobs.

Big data analytics is the method of excellent analytic techniques toward very large, diverse data collections. It has three separate formats:

Structured: Organised data format with a fixed schema. Ex: RDBMS
Semi-Structured: Somewhat sorted out data which doesn't possess a fixed format. Ex: XML, JSON
Unstructured: Random data with an anonymous schema. Ex: Audio, video files etc.

Big Data Technology can be described as a Software-Utility which is intended to Analyse, Process and Extract the data from a very difficult and long data collection which the traditional information processing Software could nevermore deal with. Big data analytics is a method of high-level analytics, that include complex applications including elements like predictive models, analytical algorithms and what-if study powered by analytics systems. Big data has been used in the enterprise to give customer insights for transparent and simpler products, by examining and predicting customer behaviour by data obtained from social media, GPS-enabled devices, and CCTV footage. It also provides better customer recognition from insurance companies.

Big Data solutions are like these more than many additional data needs. One of the various common and most significant is an Enterprise Data Architecture. The big data platform is a kind of IT solution which consolidates the features and abilities of many big data applications and benefits inside a single solution. It is an enterprise-class IT platform which allows the organization in developing, deploying, performing and maintaining a big data infrastructure /environment. Big data processing is a set of methods or programming models to obtain large-scale data to obtain useful data for supporting and giving decisions.

In today's world, we utilise following as the top Big Data applications:

● Big Data in Retail.

● Big Data in Healthcare.

● Big Data in Education.

● Big Data in E-commerce.

● Big Data in Media and Entertainment.

● Big Data in Finance.

● Big Data in the Travel Industry.

● Big Data in Telecom.

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