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Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
Learn how to integrate full-stack open source big data architecture and to choose the correct technologyâScala/Spark, Mesos, Akka, Cassandra, and Kafkaâin every layer.
Big data architecture is becoming a requirement for many different enterprises. So far, however, the focus has largely been on collecting,... | | Learning Apache Kafka, Second Edition
Start from scratch and learn how to administer Apache Kafka effectively for messaging
About This Book
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Quickly set up Apache Kafka clusters and start writing message producers and consumers
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Write custom producers and consumers with message partition techniques
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Integrate...
| | Spark for Python Developers
Key Features
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Set up real-time streaming and batch data intensive infrastructure using Spark and Python
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Deliver insightful visualizations in a web app using Spark (PySpark)
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Inject live data using Spark Streaming with real-time events
Book Description
Looking... |
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| | Deploying Wireless Networksdeployment cycle in cellular and broadband wireless networks, including OFDM-WiMAX/LTE
Wireless operators will find this practical, hands-on guide to network deployment invaluable. Based on their own extensive experience, the authors describe an end-to-end network planning process to deliver the guaranteed Quality of Service... | | Digital Audio EssentialsJoin the digital audio revolution! Tens of millions of users are embracing digital music, and with Digital Audio Essentials, you can, too. Nearly every personal computer built in the last few years contains a CD-burning drive; MP3 and other portable player sales dominate the consumer electronics industry; and new networkable stereo... |
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Real-Time Digital Signal Processing : Implementations and ApplicationsIn recent years, significant advances in digital technology have led to the design and implementation of sophisticated algorithms, allowing accurate real-time processing of signals. Real-time digital signal processing (DSP) is of increasing importance in today’s engineering fields because of the demand for high performance, low-cost digital... | | Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark
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... | | Stream Data Management (Advances in Database Systems)Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries... |
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