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aneesh.mataroa.blog | ||
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timilearning.com
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| | | | | In the first lecture of this series, I wrote about MapReduce as a distributed computation framework. MapReduce partitions the input data across worker nodes, which process data in two stages: map and reduce. While MapReduce was innovative, it was inefficient for iterative and more complex computations. Researchers at UC Berkeley invented Spark to deal with these limitations. | |
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michaelscodingspot.com
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| | | | | Michael Shpilt's Blog on .NET software development, C#, performance, debugging, and programming productivity | |
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www.analyticsvidhya.com
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| | | | | In this article, we will introduce you to the big data ecosystem and the role of Apache Spark in Big data. | |
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endjin.com
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| | | Discover the use of Synapse Notebooks in Azure Synapse Analytics for data analysis, cleaning, visualization, and machine learning. | ||
