Demystifying Big Data with Scala and Akka
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The document discusses big data computation technology and analysis using Scala. It covers the growth of big data, challenges with computing large amounts of data, and alternatives to batch processing like Hadoop. It then focuses on using Scala and Akka for big data projects due to their support for concurrency, parallelism and real-time processing. The document concludes that there are now multiple real-time alternatives beyond Hadoop for big data and that Scala and Akka are facilitating growth in this area.
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Why distributed SQL databases will dominate the Big Data world and how technologies like Kubernetes can help in achieving that.
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