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Big Data For Dummies

Find the right big data solution for your business ororganization Big data management is one of the major challenges facingbusiness, industry, and not-for-profit organizations. Data setssuch as customer transactions for a mega-retailer, weather patternsmonitored by meteorologists, or social network activity can quicklyoutpace the capacity of traditional data management tools. If youneed to develop or manage big data solutions, you'll appreciate howthese four experts define, explain, and guide you through this newand often confusing concept. You'll learn what it is, why itmatters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importanceto businesses, not-for-profit organizations, government, and ITprofessionals Authors are experts in information management, big data, and avariety of solutions Explains big data in detail and discusses how to select andimplement a solution, security concerns to consider, data storageand presentation issues, analytics, and much more Provides essential information in a no-nonsense,easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helpsyou take charge of big data solutions for your organization.

Implement discover how to implement your big data solution with an eye to operationalizing and protecting your data What it means see the importance of big data to your organization and how it's used to solve problems Open the book and find ...

Predictive Analytics, Data Mining and Big Data

Myths, Misconceptions and Methods

This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies.

MANAJEMEN BIG DATA DAN DATA MINING

Judul : MANAJEMEN BIG DATA DAN DATA MINING Penulis : Dr. Muhammad Alkirom Wildan, S.E., M.Si., CHRMP Ukuran : 15,5 x 23 cm Tebal : 147 Halaman No ISBN : 978-623-56871-5-5 Konsep di balik Big data analisis yang sebenarnya tidak ada yang baru. Bisnis telah telah menggunakan bisnis intelijen alat untuk banyak dekade, dan ilmuwan telah mempelajari data set untuk mengungkap rahasia alam semesta selama bertahun-tahun. Namun, skala pengumpulan data berubah, dan semakin banyak data yang Anda miliki tersedia, yang lebih informasi Anda dapat memperkirakan dari mereka. Tantangan saat ini adalah untuk menemukan yang nilai dari para data yang dan untuk mengeksplorasi data yang sumber di lebih menarik dan berlaku cara untuk mengembangkan kecerdasan yang dapat mendorong keputusan, menemukan hubungan, memecahkan masalah, dan meningkatkan keuntungan, produktivitas, dan bahkan para kualitas dari kehidupan.

Judul : MANAJEMEN BIG DATA DAN DATA MINING Penulis : Dr. Muhammad Alkirom Wildan, S.E., M.Si., CHRMP Ukuran : 15,5 x 23 cm Tebal : 147 Halaman No ISBN : 978-623-56871-5-5 Konsep di balik Big data analisis yang sebenarnya tidak ada yang baru ...

Pemrograman Python Untuk Penanganan Big Data

Exploring the Convergence of Big Data and the Internet of Things

The growth of Internet use and technologies has increased exponentially within the business sector. When utilized properly, these applications can enhance business functions and make them easier to perform. Exploring the Convergence of Big Data and the Internet of Things is a pivotal reference source featuring the latest empirical research on the business use of computing devices to send and receive data in conjunction with analytic applications to reduce maintenance costs, avoid equipment failures, and improve business operations. Including research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology uses in business.

Including research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology ...

Big Data

Mining and Measuring Big Data for Information and Intelligence

Discover the correct data and solutions for your organization now. All organizations, especially larger ones, face this one dilemma: Sorting and reading the big data. Whether it's a business, NGO, or another organization, patterns and numbers need to be understood to keep management as effective as possible. This book solves all kinds of problems that any entrepreneur, accountant, or manager can use, such as: The importance of big data, and its significance to companies. Why investing in more effective big data analyses can help firms scale up massively. Big data for small and mid-sized businesses. The top factors to take into account when viewing and interpreting the details of big data. The two problems that can happen when implementing Big Data Hadoop. How big data help any organization compete in a crazy competitive society. Trends for big data in 2018. Take your organization to the next level by learning these simple tricks to perform better and not misread the numbers or actions to take.

This book solves all kinds of problems that any entrepreneur, accountant, or manager can use, such as: The importance of big data, and its significance to companies.

Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis for social big data. This book is different from other similar books in that presents the overall picture of social big data from fundamental concepts to applications while standing on academic bases.

This chapter describes basic concepts in data mining, typical tasks for data
mining, and basic data structures as targets of data mining. 5.1 What is Data
Mining? First, the fundamental concepts of data mining [Han et al. 2006, Tan et al
. 2006] ...

Data Mining and Knowledge Discovery for Big Data

Methodologies, Challenge and Opportunities

The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Opinion mining or sentiment analysis is the computational study of people's
opinions, appraisals, attitudes, and emotions toward entities such as products,
services, organizations, individuals, events, and their different aspects. It has
been an ...

Big Data, Data Mining, and Machine Learning

Value Creation for Business Leaders and Practitioners

In this book, Jared Dean offers an accessible and thorough review of the current state of big data analytics and the growing trend toward high performance computing architectures.

Loyalty 3.0: How to Revolutionize Customer and Employee Engagement with Big Data and Gamification

A guide to sustaining loyalty among customers, employees, and business partners using motivation, big data, and gamification.

A guide to sustaining loyalty among customers, employees, and business partners using motivation, big data, and gamification.