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Business Data Processing

Business Data Processing examines various aspects of data processing in business development including an extensive overview of functional;

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Data-Centric Business and Applications

Building on the authors' previous work, this book addresses key processes and procedures used in informationdata processing and management;

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Case Studies in Business Data Processing

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Business Information Systems

For introductory Business Information Systems/MIS courses, this new edition offers comprehensive coverage of data processing and systems;

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Data-Centric Business and Applications

This book explores various aspects of software creation and development as well as data and information processing. It covers relevant;

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Business Intelligence and Information Technology

, information security, automatic control technique, data mining, software development, and design, blockchain technology, big data technology;

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Business Intelligence and Data Warehousing

Business Intelligence and Data Warehousing deals with the main components of a data warehouse for business intelligence applications;

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Data-Centric Business and Applications

of informationdata processing and transmission. It also discusses the development of more intelligent and efficient communication technologies, which;

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E-Business and Telecommunications

six corresponding conferences: International Conference on Data Communication Networking, DCNET; International Conference on E-Business, ICE-B;

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Business Intelligence and Analytics

Data is raw facts and figures and information is meaningful data that would be helpful for a person or company. Business intelligence;

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Data Mining

This book, Data Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and;

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Mastering Kafka Streams and ksqlDB Building realtime data systems by example

Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream;

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Developments in Information & Knowledge Management for Business Applications

business informationdata loss, while improving customer satisfaction and maintenance levels. The major goal is to analyse the key aspects;

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Developments in Information & Knowledge Management for Business Applications

business informationdata loss, while improving customer satisfaction and maintenance levels. The major goal is to analyse the key aspects;

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Business Intelligence Techniques

Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have;

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Business Intelligence Techniques

Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have given;

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Anomaly Detection

When information in the data warehouse is processed, it follows a definite pattern. An unexpected deviation in the data pattern from the;

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Business Management (A Brief Expose)

in data processing are expounded. It is realised that whereas the factory processes raw materials and produces goods for sale, a data processing;

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Handbook of Big Data Analytics: Applications in ICT, security and business analytics

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and;

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Machine Learning Techniques for Improved Business Analytics

Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting;

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Machine Learning Techniques for Improved Business Analytics

Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting;

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Next Generation Big Data

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments;

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Mastering Spanish Business Vocabulary

, accounting, transportation, manufacturing, communications media, computers, electronic data processing, and much more.;

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E-Business and Telecommunications

integrating four major areas of knowledge that are divided into six corresponding conferences: International Conference on Data Communication;

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Big Data Fundamentals

clearly describes and links Big Data concepts to business utility. --Dr. Christopher Starr, PhD Simply, this is the best Big Data book on;

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E-Business and Telecommunications

into six corresponding conferences: International Conference on Data Communication Networking, DCNET; International Conference on E-Business;

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Cloud Computing

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis;

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