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Fast and Scalable Cloud Data Management

current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and;

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Fast and Scalable Cloud Data Management

current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and;

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Adaptive Resource Management and Scheduling for Cloud Computing

Management and Scheduling for Cloud Computing, ARMS-CC 2015, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC;

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Data Analysis in the Cloud

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital;

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Hands-On Azure for Developers

Develop fast and scalable cloud applications Who this book is forHands-On Azure for Developers is for developers who want to build highly scalable;

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Temporal QOS Management in Scientific Cloud Workflow Systems

and data sharing ability of the underlying cloud computing infrastructures. Temporal QOS Management in Scientific Cloud Workflow Systems;

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Design Patterns for Cloud Native Applications

patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications;

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Programming Gogle App Engine With Python

the power of the scalable Cloud Datastore, using queries, transactions, and data modeling with the ndb library Use Cloud SQL for standard;

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OpenStack Cloud Application Development

Leverage the power of OpenStack to develop scalable applications with no vendor lock-in OpenStack Cloud Application Development is a fast;

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Large Scale and Big Data

understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management;

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Large Scale and Big Data

understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management;

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Data Engineeringon Azure

. Data Engineering on Azure reveals the architectural, operational, and data management techniques that power cloud-based data infrastructure;

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Getting Started with CockroachDB

available cloud-native SQL database to distribute data and workloads automatically Build high-speed database services using CockroachDB and;

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Cloud Network Management

Data storage, processing, and management at remote location over dynamic networks is the most challenging task in cloud networks. Users;

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Solr in Action

scaling cloud-based service and can provide additional intelligence to other big data technologies like Hadoop and Mahout.;

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Programming Microsoft Azure Service

Windows PowerShell and the Management Portal Configure Service Fabric Diagnostics and analyze collected data Test functionality and performance;

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Programming Microsoft Azure Service Fabric

other advanced cluster settings Collect diagnostic data, and use Azure Operational Management Suite to interpret it Integrate microservices;

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Windows Azure Step by Step

skills to the cloud development model * Build a simple web role application and deploy it to the cloud * Create a worker role project to perform;

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Dynamic Quality Management for Cloud Labor Services

How can a scalable and efficient quality management mechanism for cloud labor services be designed in a way that it delivers results with a;

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Cloud Computing Basics

introduction to cloud computing, its architecture, and the Hadoop distributed file system Deals with cloud management concepts like scalable, fault;

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Mapping Data Flows in Azure Data Factory

design tools. The book shows data engineers how to take raw business data at cloud scale and turn that data into business value by organizing and;

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI

genomic data management, medical data cloud federations, temporal pattern mining, scalable schema discovery, load shedding, and selectivity;

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Microsoft Visual C# Step by Step

, methods, and program flow Build more robust apps with error, exception, and resource management Spot problems fast with the Visual Studio;

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Algorithmic Aspects of Cloud Computing

scalability for distributed, large-scale data stores (e.g. NoSQL and columnar databases); search and retrieval algorithms for cloud infrastructures;

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Cloud Services, Networking, and Management

underlying management mechanisms, including data center virtualization and networking, cloud security and reliability, big data analytics, scientific;

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Security of Cloud-Based Systems

DDoS attacks; and generation of labelled datasets to quantify the impact of security threats to cloud data centers. Section 2 focuses on;

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Official Google Cloud Certified Professional Data Engineer Study Guide

Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data;

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