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Big data as the name suggests refers to data sets that are so large or complex that traditional data processing applications are inadequate to deal with them.
Data is comprised of bits and bytes, and as individuals we come across huge and variety of data in our every-day lives. The value of this data can only be understood when we can identify patterns, mixtures, trends and clusters within the data that then trigger questions to better understand our businesses. Thus understanding of Big Data helps individuals to understand data and start identifying the patterns and trends that would otherwise go unnoticed.
The term “big data” training often refers simply to the use of predictive analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set.
Just like any high-impact technical training, Big Data course fees depend on:
Real-world case studies & project exposure
Course duration & hands-on exercises
Trainer’s experience in data & analytics domain
The quality of a Big Data program is determined by how deeply it immerses you into real data environments. For instance, if you’re from retail or banking, the training must include projects from that sector to be relevant.
A well-structured Big Data course cannot be effectively delivered in just 15–20 hours. To truly learn Hadoop, Spark, data wrangling, and modeling, deep practical engagement is essential.
Trainer expertise is another vital aspect. At AIG, our trainers are working data scientists who guide you through live data cases, project mentoring, and data tool mastery.
Increase in Decision-Making Accuracy
Improved Efficiency in Data-Driven Projects
Better Business Forecasting Accuracy
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