It had been created like a joint hard work amongst Cloudera and Twitter and was launched in 2013. It has because been extensively adopted and is also now a Section of the Apache Hadoop ecosystem.
Applying Parquet is a superb start out; even so, optimizing knowledge lake queries doesn’t finish there. You regularly will need to clean, enrich and completely transform the data, perform substantial-cardinality joins and apply a number of ideal practices so as to make certain queries are continuously answered swiftly and value-efficiently.
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This flexibility is particularly valuable when working with evolving info resources or updating info products with no disrupting existing facts pipelines.
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In the following paragraphs, We're going to explain Parquet, The real key capabilities in the file format, And exactly how it might benefit facts specialists. We have also stated ways for efficiently utilizing Parquet-based mostly workflows.
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Facts lake architecture: Parquet is vital in facts lakes, which retailer large volumes of Uncooked data from varied resources.
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