Blog 5 (historical development of Big data)

 

Blog 5: The Birth of the Term “Big Data” (2000s)

The term “big data” became popular in the early 2000s as companies struggled to manage rapidly growing amounts of digital information. Social media websites, online shopping platforms, and mobile devices generated huge volumes of data every day.

In 2001, analyst Doug Laney introduced the concept of the 3 Vs of big data:

  • Volume
  • Velocity
  • Variety

These characteristics explained why traditional systems could no longer handle modern datasets.

Technology companies such as Google and Yahoo! developed new systems to process enormous datasets. Google introduced technologies such as MapReduce, which inspired the development of Apache Hadoop.

Hadoop allowed organizations to store and process massive datasets across multiple computers instead of relying on one expensive server. This significantly reduced costs and improved efficiency.

During this decade, businesses began realizing that data could be used for competitive advantage. Companies analyzed customer behavior, advertising performance, and market trends to improve decision-making.

The 2000s officially introduced big data as a major technological concept.

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