Data exploration and analyses
Start working on your data and get a good understanding of its key elements and structure. By exploring the data you will start to see patterns. Later these can be analysed to derive insights. While working on your data you will also discover data quality issues. Because of that Data Engineering will lead to a better understanding of your data and is a starting point to improve its quality and value.
Store and produce datasets
Part of Data Engineering is storing the collected data and the results of explorations and analyses. As they are stored, other teams can use these data sets and the central storage will provide a single source of truth throughout the company. Data engineering also involves automating these process so that new or updated data sets are made available once available.
Maintain and monitor
The Data Engineering team also provides maintenance and monitoring of the created data pipelines. In a DevOps environment the development and operation of the these pipelines are a combined task. Just as the pipelines, maintenance and monitoring are automated. Therefore the Data Engineering is able to report incidents or exceptions immediately.