From the course: Apache Spark Essential Training: Big Data Engineering
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Data engineering vs. data analytics vs. data science - Apache Spark Tutorial
From the course: Apache Spark Essential Training: Big Data Engineering
Data engineering vs. data analytics vs. data science
- [Instructor] Nowadays, we hear the terms like data engineering, data analytics, and data science when discussing big data. Often, they are used interchangeably. So what exactly are the differences between these domains, and what are their overlaps? This table lists a number of data processing and analytics functions that are encountered in the data analytics domain today. Data engineering deals with the preparation of data for further analytics. It deals with integrating data sources to extract data, build data pipelines for transport, processing, and transforming data to required formats, and aggregations to finally storing them. This data can also be used to build business actions downstream. Business analytics, on the other hand, works on data that is already prepared by data engineering. It deals with using the process data to create dashboards and reports for doing exploratory data analytics and statistical modeling of data. This includes generating recommendations for business…
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