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Data Pipeline Architecture: Understanding What Works Best for You

Ascend.io

Ingestion: Your data pipeline architecture should anticipate a wide variety of raw data sources to be incorporated into the pipeline. These include internal sources, operational systems, the databases and files provided by business partners, and third-party sources from regulators, agencies, and data aggregators.

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Data streamed in is queryable immediately, in an optimal manner. Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Data Model. Conventional enterprise data types. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. Finally, this data is used to create KPIs and visualize them using Tableau.