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The Stream Processing Model Behind Google Cloud Dataflow

Towards Data Science

This led to the observation that using only watermarks to decide when to emit the window’s result is likely to increase the latency (when the watermark is slow) or impact the accuracy of the pipeline (missing some data if the watermark is too fast ). Triggering at completion estimates such as watermarks.

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Maintaining Your Data Lake At Scale With Spark

Data Engineering Podcast

In this episode Michael Armbrust, the lead architect of Delta Lake, explains how the project is designed, how you can use it for building a maintainable data lake, and some useful patterns for progressively refining the data in your lake. How does this unified interface resolve the shortcomings and complexities of that approach?

Data Lake 100
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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

Database makers have experimented with different designs to scale for bursts of data traffic without sacrificing speed, features or cost. Lambda Architecture: Too Many Compromises A decade ago, a multitiered database architecture called Lambda began to emerge. Google and other web-scale companies also use ALT.

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Data Engineering Weekly #138

Data Engineering Weekly

[link] Alibaba: The Thinking and Design of a Quasi-Real-Time Data Warehouse with Stream and Batch Integration Time interval data processing is the foundation of data engineering; regardless it’s batch or real-time. Each architectural pattern has its limitation.

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Apache Spark Use Cases & Applications

Knowledge Hut

Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark. Spark SQL features are used heavily in warehouses to build ETL pipelines.

Scala 52
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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

So, working on a data warehousing project that helps you understand the building blocks of a data warehouse is likely to bring you more clarity and enhance your productivity as a data engineer. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.

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12 Big Data Project Topics with Source Code 2023

Knowledge Hut

This article will provide big data project examples, big data projects for final year students , data mini projects with source code and some big data sample projects. The article will also discuss some big data projects using Hadoop and big data projects using Spark.