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Learning Storm
Create real-time stream processing applications with Apache Storm
About This Book
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Integrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka
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Explore log processing and machine learning using Storm
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Step-by-step and easy-to-understand guide to...
| | Introducing InnoDB Cluster: Learning the MySQL High Availability Stack
Set up, manage, and configure the new InnoDB Cluster feature in MySQL from Oracle. If you are growing your MySQL installation and want to explore making your servers highly available, this book provides what you need to know about high availability and the new tools that are available in MySQL 8.0.11 and later.
... | | Complete Guide to Open Source Big Data Stack
See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together.
In the Complete Guide to Open Source Big Data Stack, the author begins by creating a private... |
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IBM DB2 9 New FeaturesGet up to speed quickly on the new features in IBM DB2 9
In this book, the IBM expert authors provide you with comprehensive technical details and real-world business uses for all of the exciting new features in the current release of DB2 9. You’ll learn about the capabilities found in pureXML as well as administrative enhancements... | | Hyper-V for VMware Administrators: Migration, Coexistence, and Management
Learn to deploy and support Hyper-V, building on what you know about VMware's vSphere. Whether you're looking to run both hypervisors in parallel or migrate completely, Hyper-V for VMware Administrators has everything you need to get started.
The book begins with an overview of Hyper-V basics, including common... | | Microsoft System Center Virtual Machine Manager 2012 Cookbook
Over 60 recipes for the administration and management of Microsoft System Center Virtual Machine Manager 2012 SP1
Overview
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Create, deploy, and manage Datacentres, Private and Hybrid Clouds with hybrid hypervisors by using VMM 2012 SP1, App Controller, and Operations Manager.
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Integrate and...
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Learning Spark: Lightning-Fast Big Data Analysis
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java,... | | Getting Started with Hazelcast - Second Edition
Get acquainted with the highly scalable data grid, Hazelcast, and learn how to bring its powerful in-memory features into your application
About This Book
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Store and pass data in your application using Hazelcast's scalable and resilient collections, working with real code and examples to see what is...
| | Fast Data Processing with Spark - Second Edition
Perform real-time analytics using Spark in a fast, distributed, and scalable way
About This Book
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Develop a machine learning system with Spark's MLlib and scalable algorithms
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Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on
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