The different Data Systems

Data Lake – A Data Lake is a vast pool of raw data. Data is never thrown away because data is stored in the raw format.

Data Warehouse – A Data Warehouse is s repository for structured filtered data that has already been processed for a specific purpose.

Big Data – Big Data is extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations especially relating to human behavior and interactions.

ODS – Operation Data Store is meant for operational reporting and supports current or near real-time reporting requirements. It contains only a short window of data.

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What is Big Data?

Big data is a collection of large datasets that cannot be processed using traditional computing techniques. It is not a single technique or a tool, rather it has become a complete subject, which involves various tools, technqiues and frameworks.

What Comes Under Big Data?

Big data involves the data produced by different devices and applications. Given below are some of the fields that come under the umbrella of Big Data.

  • Black Box Data − It is a component of helicopter, airplanes, and jets, etc. It captures voices of the flight crew, recordings of microphones and earphones, and the performance information of the aircraft.
  • Social Media Data − Social media such as Facebook and Twitter hold information and the views posted by millions of people across the globe.
  • Stock Exchange Data − The stock exchange data holds information about the ‘buy’ and ‘sell’ decisions made on a share of different companies made by the customers.
  • Power Grid Data − The power grid data holds information consumed by a particular node with respect to a base station.
  • Transport Data − Transport data includes model, capacity, distance and availability of a vehicle.
  • Search Engine Data − Search engines retrieve lots of data from different databases.

Thus Big Data includes huge volume, high velocity, and extensible variety of data. The data in it will be of three types.

  • Structured data − Relational data.
  • Semi Structured data − XML data.
  • Unstructured data − Word, PDF, Text, Media Logs.

Benefits of Big Data

  • Using the information kept in the social network like Facebook, the marketing agencies are learning about the response for their campaigns, promotions, and other advertising mediums.
  • Using the information in the social media like preferences and product perception of their consumers, product companies and retail organizations are planning their production.
  • Using the data regarding the previous medical history of patients, hospitals are providing better and quick service.

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