This video on /"What is Data Pipeline Architecture/" will help you understand the concepts of Data Pipeline Architecture. In this video we start with an introduction to Data Engineering Pipeline, what happens in a Data Pipeline. Learn about what goes into designing a data pipeline and the engineering strategies to build a resilient data pipeline. Additionally, we will discuss the benefits of implementing a data pipeline.

What is a data pipeline?
A data pipeline is a method of ingesting raw data from various data sources and then transferring it to a data store, such as a data lake or data warehouse, for analysis. Before data flows to a data store, it is typically processed. This includes data transformations such as filtering, masking and aggregation, which ensure proper data integration and standardization.

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The following topics will be discussed in this session:
0:00 – Introduction to the Data Engineering Pipeline
1:23 – What is a Data Engineering Pipeline?
1:57 – What happens in a data pipeline?
3:22 – What's behind designing a data pipeline?
6:43 – Technical strategies to build a resilient data pipeline
8:50 – Benefits of implementing a data pipeline
12:16 – Conclusion

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