This article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), when stream processing makes sense, and what technologies and products you can choose from.
Big Data Analytics With Spark: A Practitioner's Guide to Using Spark for Large Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
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Building messaging in Go network clients Learn useful Go communication techniques from the internals of the NATS client. In today's world of data-intensive applications and frameworks tailored to tasks as varied as service discovery and stream processing distributed systems are becoming ubiquitous. A reliable and high-performing networking client is essential to accessing and scaling such systems. Often implementing a network client for a custom protocol can seem like a daunting task. If a…
Google unveils a big-data pipeline for batch and stream processing in its cloud