Turn Data in Motion into Decisions in Real
Key Features
? Get a free one-month digital subscription to www.avaskillshelf.com.
? Master Spark Structured Streaming from windowed aggregations and stateful processing to sub-second latency.
? Build production ingestion pipelines using Kafka, Kinesis, Event Hubs, and Auto Loader at scale.
? Deploy, monitor, and integrate ML inference into streaming workflows using CI/CD and Declarative Automation Bundles.
Book Description
The Next Generation of Data Platforms Will Be Real-Time, Intelligent, and Always On
Real-time Analytics with Apache Spark is your complete, comprehensive guide to building production-grade streaming systems using Apache Spark Structured Streaming on the Databricks platform, from first principles to enterprise-scale deployment.
You begin with Spark fundamentals and streaming concepts, then progressively advance through windowed aggregations, stateful processing with transformWithState, stream-stream joins, and the new Real-time Mode for sub-second latency. Every chapter combines clear explanations with production-ready code, preparing you to handle real-world challenges including late data, state management, and performance tuning across Kafka, Kinesis, Event Hubs, and Auto Loader.
What you will learn
? Build fault-tolerant streaming pipelines with exactly-once guarantees on Apache Spark.
? Apply windowed aggregations, watermarks, and stateful processing for real-time data workflows.
? Ingest streaming data from Kafka, Kinesis, Event Hubs, and Auto Loader at scale.
? Deploy streaming pipelines using Declarative Automation Bundles and CI/CD on Databricks.
Table of Contents
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Real-Time Analytics Landscape and Use Cases
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Apache Spark Fundamentals (with a Streaming Mindset)
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Structured Streaming
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Deep Dive into Sources and Sinks
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Windowed and Stateful Operations
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Writing Streaming Queries with Spark SQL
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Low-Latency Streaming with Spark Real-Time Mode
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Machine Learning for Streaming Applications
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Monitoring, Debugging, and Performance Tuning
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Packaging, Orchestration, and CI/CD Using Declarative Automation Bundles.
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End-to-End Real-Time Analytics Project
Index
