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Data Pipeline Architecture: Understanding What Works Best for You

Ascend.io

Now, you might ask, “How is this different from data stack architecture, or data architecture?” ” Data Stack Architecture : Your data stack architecture defines the technology and tools used to handle data, like databases, data processing platforms, analytic tools, and programming languages.

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. Data processing and analytics drive their entire business. Data streamed in is queryable immediately, in an optimal manner. Data Model. Conventional enterprise data types. General Purpose RTDW.

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Data Ingestion: 7 Challenges and 4 Best Practices

Monte Carlo

In this type of data ingestion, data moves in batches at regular intervals from source to destination. Some data teams will leverage micro-batch strategies for time sensitive use cases. These involve data pipelines that will ingest data every few hours or even minutes.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

to accumulate data over a given period for better analysis. There are many more aspects to it and one can learn them better if they work on a sample data aggregation project. Project Idea: Explore what is real-time data processing, the architecture of a big data project, and data flow by working on a sample of big data.