In general, the use of Big Data depends on each scenario in which it is applied. Therefore, it is necessary to first determine an objective and then apply the techniques.
With so much data to collect, it’s easy to get lost. That’s why it’s important to know how you’re going to use it and what’s actually useful to you. Stick to recording the metrics that matter most . Essentially, before you get into the “how,” you need to define the “what” you want to analyze.
Worry about data preparation
One of the challenges faced by most companies today is the lack of data for analysis. Even though they may have accumulated association or transaction data for years, it is often in inconsistent format, outdated, invalid, or distributed across different systems or under the control of different departments.
It often takes a lot of time or effort for departments to chinese student data centralize all the data, clean up the lists, and turn it into a useful, machine-readable format before analysis can take place. There are a few ready-made Big Data platform options that can help you solve this problem.
These include Amazon Web Services, Microsoft Azure, and Google’s Big Query. In addition to these platforms, you can also opt for Hadoop, a Linux-based tool that runs on the Apache server.
Go for data analysis
When all the data is centralized, of good quality and in a readable and consistent format, we reach the analysis stage. Typically, we can differentiate between descriptive analysis and predictive analysis.
Descriptive analytics uses business intelligence and data mining to uncover the answer to the question, “What happened in the past?” The findings from the analysis are typically presented in a as the vebrf press service told report or dashboard view, and drill down into the data to uncover insights such as marketing marketing list cost, root Determine the objectives causes of failures, and key performance indicators.