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The big data era has drastically changed the requirements for extracting meaning from business data.

Traditional data use centralized database architecture in which large and complex problems are solved by a single computer system. Centralized architecture is costly and ineffective to process large amount of data.

Big data is based on the distributed database architecture where a large block of data is solved by dividing it into several smaller sizes. Then the solution to a problem is computed by several different computers present in a given computer network. The computers communicate to each other in order to find the solution to a problem.

The distributed database provides considerable benefits such as:

  • Lower price
  • Improved performance
  • Better computing

Centralized architecture is based on the mainframes which are not as economic as microprocessors in distributed database system. Also the distributed database has more computational power as compared to the centralized database system which is used to manage traditional data.

Of course, volume storage is the big game changer between traditional data and big data use. The traditional system database can store only small amount of data ranging from gigabytes to terabytes. However, big data helps to store and process large amount of data which consists of hundreds of terabytes of data or petabytes of data and beyond. The storage of massive amount of data would reduce the overall cost for storing data and help in providing business intelligence.

Want to learn more? Tonex offers Big Data for Project and Program Managers Training, a 3-day course that teaches participants how to benefit from big data in projects/programs. This course also covers all the methods, cautions, and concerns of big data analytics in project management. You will learn about the issues and opportunities of big data from the project management point of view.

All told, Tonex offers 17 contemporary, thorough courses in Product and Project Management Training that focus on a wide range of Product/Project Management topics, including strategic roles and why these positions are critical. Some of our most popular, cutting edge courses in this category:

SharePoint for Project Management Training (3 days)

Product Management Bootcamp Training (4 days)

Systems Engineering Project Management Training (2 days)

Decision Making Training for Project and Program Managers (3 days)

For more information, questions, comments, contact us.

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