Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a
wide array of real-time streaming applications. This book walks you through end-to-end
real-time application development using real-world applications data and code. Taking an
application-first approach each chapter introduces use cases from a specific industry and uses
publicly available datasets from that domain to unravel the intricacies of production-grade
design and implementation. The domains covered in Pro Spark Streaming include social media the
sharing economy finance online advertising telecommunication and IoT. In the last few years
Spark has become synonymous with big data processing. DStreams enhance the underlying Spark
processing engine to support streaming analysis with a novel micro-batch processing model. Pro
Spark Streaming by Zubair Nabi will enable you to become a specialist of latency sensitive
applications by leveraging the key features of DStreams micro-batch processing and functional
programming. To this end the book includes ready-to-deploy examples and actual code. Pro Spark
Streaming will act as the bible of Spark Streaming. What You'll Learn Discover Spark Streaming
application development and best practices Work with the low-level details of discretized
streams Optimize production-grade deployments of Spark Streaming via configuration recipes and
instrumentation using Graphite collectd and Nagios Ingest data from disparate sources
including MQTT Flume Kafka Twitter and a custom HTTP receiver Integrate and couple with
HBase Cassandra and Redis Take advantage of design patterns for side-effects and maintaining
state across the Spark Streaming micro-batch model Implement real-time and scalable ETL using
data frames SparkSQL Hive and SparkR Use streaming machine learning predictive analytics
and recommendations Mesh batch processing with stream processing via the Lambda architecture
Who This Book Is For Data scientists big data experts BI analysts and data architects.
