{"product_id":"real-time-analytics-with-apache-spark-paperback","title":"Real-Time Analytics with Apache Spark - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSubhadip Chand\u003c\/b\u003e (Author), \u003cb\u003eHarsha Pasala\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cem\u003eTurn Data in Motion into Decisions in Real\u003c\/em\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThe Next Generation of Data Platforms Will Be Real-Time, Intelligent, and Always On\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cem\u003eReal-time Analytics with Apache Spark\u003c\/em\u003e\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYou 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe final section teaches you to think like a production engineer by packaging pipelines with Declarative Automation Bundles, automating deployments with CI\/CD, integrating ML inference into streaming workflows, and building monitoring dashboards with custom alerts. By the end of the book, you will have a proven blueprint for delivering scalable, fault-tolerant streaming solutions on Apache Spark and Databricks.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e● Build fault-tolerant streaming pipelines with exactly-once guarantees on Apache Spark.\u003c\/p\u003e\u003cp\u003e● Apply windowed aggregations, watermarks, and stateful processing for real-time data workflows.\u003c\/p\u003e\u003cp\u003e● Ingest streaming data from Kafka, Kinesis, Event Hubs, and Auto Loader at scale.\u003c\/p\u003e\u003cp\u003e● Deploy streaming pipelines using Declarative Automation Bundles and CI\/CD on Databricks.\u003c\/p\u003e\u003cp\u003e● Integrate real-time ML inference into production streaming data workflows with confidence.\u003c\/p\u003e\u003cp\u003e● Monitor, debug, and tune streaming jobs for production performance and operational reliability.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e1. Real-Time Analytics Landscape and Use Cases\u003c\/p\u003e\u003cp\u003e2. Apache Spark Fundamentals (with a Streaming Mindset)\u003c\/p\u003e\u003cp\u003e3. Structured Streaming\u003c\/p\u003e\u003cp\u003e4. Deep Dive into Sources and Sinks\u003c\/p\u003e\u003cp\u003e5. Windowed and Stateful Operations\u003c\/p\u003e\u003cp\u003e6. Writing Streaming Queries with Spark SQL\u003c\/p\u003e\u003cp\u003e7. Low-Latency Streaming with Spark Real-Time Mode\u003c\/p\u003e\u003cp\u003e8. Machine Learning for Streaming Applications\u003c\/p\u003e\u003cp\u003e9. Monitoring, Debugging, and Performance Tuning\u003c\/p\u003e\u003cp\u003e10. Packaging, Orchestration, and CI\/CD Using Declarative Automation Bundles.\u003c\/p\u003e\u003cp\u003e11. End-to-End Real-Time Analytics Project\u003c\/p\u003e\u003cp\u003e \u003cstrong\u003eIndex\u003c\/strong\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 366\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.76 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 12, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":71434081599741,"sku":"9788169646109","price":71.73,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/3414\/0157\/files\/lfGrFuGhE19788169646109.webp?v=1790790671","url":"https:\/\/booktolia.com\/products\/real-time-analytics-with-apache-spark-paperback","provider":"booktolia","version":"1.0","type":"link"}