Why Big Data is Gaining Hype?
Big data is the term used to describe the large amount of structured and unstructured data that businesses produce and gather from numerous sources. Big data refers to data sets which are so enormous and complicated that conventional data processing methods and procedures are unable to effectively extract insightful knowledge and information from them.
There are various reasons why big data is gaining hype:
- Increased data volume: The amount of data being generated and collected has increased dramatically in recent years, due to the proliferation of connected devices and the widespread use of the internet. This has led to a need for more advanced tools and techniques to process and analyze the data.
- Variety of data sources: Big data often comes from a number of sources, including social media, mobile devices, sensors, and internet of things (IoT) devices. This data can be structured (such as a database) or unstructured (such as text or video).
- Value of data insights: The ability to extract valuable insights from big data can give organizations a competitive advantage and enable them to make better business decisions. For example, a retailer can use big data to analyze customer behavior and preferences, and use this information to tailor their marketing and sales efforts.
- Advancements in technology: There have been significant advancements in technology that have made it easier to process and analyze big data. These include the development of powerful data processing tools and frameworks, such as Hadoop and Spark, and the availability of cloud computing resources, which make it possible to process large amounts of data quickly and cost-effectively.
Overall, the hype around big data is driven by the increasing volume and variety of data being generated, the value of insights that can be extracted from it, and the advancements in technology that have made it easier to process and analyze.