Data analysis is an exploratory process that often starts with specific questions. It requires curiosity, the desire to find answers and a good level of tenacity, because those answers aren’t ...

Throughout any project, you’re going to gather up quite a bit of data. Now, this can be broken down into two categories: ...

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Data analysis: Once data is cleaned, it is analyzed to look for data patterns, trends and relationships. Analysts should try to spot opportunities and risks in the data at this time.

Users must take responsibility for curating the data themselves before any analysis takes place and ensuring it’s of good quality before storing it in this format. Size: All data up to petabytes of ...

Techniques: Big data utilises technologies like Hadoop and Spark for processing large data sets, while data analytics and data science employ statistical analysis and various analytical techniques.

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