Spark Vs. Flink: Comparing the Top Stream Computing Engines
Companies, governmental bureaus, agencies, and organizations rely upon stream computing to process and analyze big data.
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Using Blockchain to Ensure Data Integrity for Data Science
Problems with data integrity aren't new. In fact, most sources credit an IBM programmer and instructor from the 1960s with the famous acronym GIGO -- or garbage in, garbage out. Errors or even intentional manipulation of data have always plagued information systems. Even though modern systems may have better features for reducing errors, the very speed data gets generated today multiplies issues. Learn how a relatively new technology, blockchain, can help limit various threats to data integrity in this age of rapid data generation.
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