Compare Hadoop vs. Spark vs. Kafka for Your Big Data Strategy

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Big data became popular about a decade ago. The falling cost of storage led many enterprises to retain much of the data they ingested or generated so they could mine it for key business insights.

Analyzing all that data has driven the development of a variety of big data frameworks capable of sifting through masses of data, starting with Hadoop.

Big data frameworks were initially used for data at rest in a data warehouse or data lake, but a more recent trend is to process data in real time as it streams in from multiple sources. Download this eGuide to see what is right for your big data strategy.

Data Science Central
Jun 16, 2022
Jun 16, 2022
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