By Zubair Nabi
Learn the proper state-of-the-art abilities and information to leverage Spark Streaming to enforce a big selection of real-time, streaming purposes. This book walks you thru end-to-end real-time software improvement utilizing real-world purposes, facts, and code. Taking an application-first technique, every one bankruptcy introduces use circumstances from a selected and makes use of publicly to be had datasets from that area to solve the intricacies of production-grade layout and implementation. The domain names coated in Pro Spark Streaming include social media, the sharing economic system, finance, web advertising, telecommunication, and IoT.
In the previous couple of years, Spark has develop into synonymous with giant facts processing. DStreams increase the underlying Spark processing engine to aid streaming research with a unique micro-batch processing version. Pro Spark Streaming by Zubair Nabi will enable you develop into a expert of latency delicate purposes by means of leveraging the most important good points of DStreams, micro-batch processing, and sensible programming. To this finish, the publication contains ready-to-deploy examples and genuine code. Pro Spark Streaming will act because the bible of Spark Streaming.
What you are going to Learn
- Discover Spark Streaming program improvement and most sensible practices
- Work with the low-level info of discretized streams
- Optimize production-grade deployments of Spark Streaming through configuration recipes and instrumentation utilizing Graphite, collectd, and Nagios
- Ingest facts from disparate assets together with MQTT, Flume, Kafka, Twitter, and a customized HTTP receiver
- Integrate and couple with HBase, Cassandra, and Redis
- Take good thing about layout styles for side-effects and retaining country around the Spark Streaming micro-batch model
- Implement real-time and scalable ETL utilizing facts frames, SparkSQL, Hive, and SparkR
- Use streaming computer studying, predictive analytics, and recommendations
- Mesh batch processing with circulate processing through the Lambda architecture
Who This ebook Is For
Data scientists, vast information specialists, BI analysts, and information architects.
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