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 Programming Pig
This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application—making it easy for you to experiment with new datasets.
Programming Pig introduces... |  |  Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as... |  |  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...
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 Learning Cassandra for Administrators
Understand the immense capabilities of Cassandra in managing large amounts of data and learn how to ensure that data is always available. This practical, hands-on guide takes you through every stage from installation to performance tuning.
Overview
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Install and set up a multi datacenter Cassandra
... |  |  Kubernetes Microservices with Docker
Start using Kubernetes in complex big data and enterprise applications, including Docker containers. Starting with installing Kubernetes on a single node, the book introduces Kubernetes with a simple Hello example and discusses using environment variables in Kubernetes.
Next, Kubernetes Microservices with... |  |  Practical Machine Learning
About This Book
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Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark
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Comprehensive practical solutions taking you into the future of machine learning
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Go a step further and integrate your machine learning projects with
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