Big Data Analytics has been there in the market for quite some time now. More and more businesses are adopting it to go beyond the traditional ways of data storage and processing. 

New trends such as X-Analytics are being used to find solutions to challenges, including climate change, disease prevention and wildlife protection. 

Big Data also gives us interesting trends like Decision Intelligence which provides a framework to help data engineers to design, model, execute and monitor decision models and processes in the context of business outcomes and behaviour. In fact, by 2023, more than 33% of large organizations will have analysts practising decision intelligence.


What is big data analytics example?

Big data analytics helps businesses to get insights from today’s huge data resources. People, organizations, and machines now produce massive amounts of data. Social media, cloud applications, and machine sensor data are just some examples.

What is the use of big data analytics?

Big Data analytics is a process used to extract meaningful insights, such as hidden patterns, unknown correlations, market trends, and customer preferences. Big Data analytics provides various advantages—it can be used for better decision making, preventing fraudulent activities, among other things.

Companies investing in Big Data Analytics

  1. Amazon
  2. Netflix
  3. Starbucks
  4.  Spotify
  5. Google
  6. Adobe.

What are the skills required for big data?

  • Analytical Skills. …
  • Data Visualization Skills. …
  • Familiarity with Business Domain and Big Data Tools. …
  • Skills of Programming. …
  • Problem Solving Skills. …
  • SQL – Structured Query Language. …
  • Skills of Data Mining. …
  • Familiarity with Technologies

 

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