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Big Data - Concepts, Technology and Architecture

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology;

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Big Data SMACK

Learn how to integrate full-stack open source big data architecture and to choose the correct technology-Scala/Spark, Mesos, Akka;

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Emerging Technology and Architecture for Big-data Analytics

This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The;

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Emerging Technology and Architecture for Big data Analytics

This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The;

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Obtaining Value from Big Data for Service Systems, Volume II

Volume II of this series discusses the technology used to implement a big data analysis capability within a service-oriented organization;

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Big Data

: Aggregate heterogeneous types of data from numerous sources, and then use efficient database management technology to store the Big Data Use cloud;

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Big Data

: Aggregate heterogeneous types of data from numerous sources, and then use efficient database management technology to store the Big Data Use;

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Data Architecture: A Primer for the Data Scientist

Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply;

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Software Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software;

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Big Data Security

After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud;

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The Data Warehousing Handbook

Mattison explains what data warehouses are and how they work, key concepts of business reengineering, client/server technology, systems;

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Big Data Technologies and Applications

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data;

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Blockchain for Big Data

information. In this book, the author demonstrates how blockchain technology can overcome some limitations in big data technology and can promote the;

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Scalable Big Data Architecture

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term Big Data;

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Modern Big Data Architectures

Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too;

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Foundations for Architecting Data Solutions

Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts;

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Big Data

as follows: big data modelling and methodology; big data support and architecture; big data processing; big data analysis; and big data;

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The Intelligent Enterprise in the Era of Big Data

. Byers Professor of Business Administration, Harvard Business School In the era of big data and automation, the book presents a cutting-edge;

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Big Scientific Data Benchmarks, Architecture, and Systems

This book constitutes the refereed proceedings of the First Workshop on Big Scientific Data Benchmarks, Architecture, and Systems, SDBA;

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Data Architecture

involved with corporate data issues and information technology decisions, ranging from data architects to IT consultants, IT auditors, and data;

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Beginning Azure Synapse Analytics

analyze your big data using Serverless Synapse SQL Pool. You also will learn Synapse Spark and Synapse Pipelines, with examples. And you will;

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Fast Data Processing Systems with SMACK Stack

developer, data architect, or a data scientist looking for information on how to integrate the Big Data stack architecture and how to choose the;

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Big Data Fundamentals

... --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals;

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Data Architecture: A Primer for the Data Scientist

Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a;

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Big Data

some trendy technology, a different approach is needed. Big data systems use many machines working in parallel to store and process data, which;

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Data Lake for Enterprises

enterprise will find this book useful. If you want to get hands-on experience with the Lambda Architecture and big data technologies by implementing;

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Graph-Powered Machine Learning

in machine learning and big data platforms. You'll get an in-depth look at techniques including data source modeling, algorithm design, link analysis;

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