Sawzall is a programming language developed by Google for processing large data sets. It is designed to run on distributed systems, performing parallel computations efficiently by splitting tasks into smaller pieces and aggregating the results.
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About Sawzall
Sawzall was created by Google in 2003 to handle the processing of large-scale data sets. It was developed to address the need for efficient, parallel computation in distributed systems, enabling Google to process and analyze massive amounts of data quickly.
Strengths of Sawzall included its ability to efficiently handle large-scale data processing and its suitability for parallel computations in distributed systems. Weaknesses involved limited flexibility and the need for specific infrastructure. Competitors included Apache Hadoop, Apache Spark, and Google's own MapReduce.
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How to hire a Sawzall expert
A Sawzall expert must have strong skills in distributed systems, parallel computing, and data processing. Proficiency in programming languages like C++ or Python, experience with large-scale data analytics, and familiarity with Google's data infrastructure are also essential.
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