November 2023
Beginner to intermediate
496 pages
14h 25m
English
Executing Big Data projects that bring value to enterprises is difficult. Because of the volume, variety and velocity of available data sources, organizations can get lost and might not see the forest for the trees. Combined with management agendas, pressure to deliver results and complex algorithms, many organizations struggle to achieve the required return on investment from Big Data initiatives.
To avoid the potential pitfalls that Big Data brings, processes can help enterprises to focus their direction. Processes bring structure, measurable steps and can be effectively managed on a day-to-day basis. Additionally, processes embed Big Data expertise within the organization by following ...
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