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Big Data Implementasi Hadoop Mapreduce Pada Pemetaan Sekolah Menggunakan Python

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Big Data Implementasi Hadoop Mapreduce Pada Pemetaan Sekolah Menggunakan Python

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Author : Yogi Aditya Saputra
language : id
Publisher: Kreatif
Release Date :

Big Data Implementasi Hadoop Mapreduce Pada Pemetaan Sekolah Menggunakan Python written by Yogi Aditya Saputra and has been published by Kreatif this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Telah hadir buku “Big Data: Implementasi Hadoop MapReduce pada Pemetaan Sekolah Menggunakan Python”. Buku dengan total 237 halaman ini akan membahas terkait Big Data seperti gambaran umum terkait Big Data itu bagaimana, pengenalan tentang Apache Hadoop, pembahasan lebih detail HDFS dan MapReduce, pengenalan tentang bahasa pemrograman Python dan bagaimana sebuah algoritma itu bekerja serta algoritma yang akan digunakan pada studi kasus yang ada. Selanjutnya, buku ini membahas tentang contoh implementasi konsep Big Data dimana pada kasus yangdigunakan adalah proses melakukan pemetaan sekolah menggunakan bahasa pemrograman Python. Dimulai pada implementasinya menggunakan MapReduce sebagai salah satu tools pengolahan yang terdapat dalam Apache Hadoop yang diterapkan pada VirtualBox. Dimana proses pemetaan sekolah ini seperti pemetaan berdasarkan provinsi, wilayah serta sekolah serta memberikan rekomendasi-rekomendasi sekolah-sekolah terdekat dari sekolah yang akan dijadikan tujuan utama. Diharapkan dengan adanya buku ini, bisa memberikan gambaran umum terkait penerapan konsep Big Data itu sendiri bagaimana dalam kehidupan sehari-hari. Serta dengan dilakukan pemetaan sekolah dalam proses penerimaan mahasiswa baru untuk membantu strategi marketing.

Introduction To Data Science

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Author : Rafael A. Irizarry
language : en
Publisher: CRC Press
Release Date : 2019-11-12

Introduction To Data Science written by Rafael A. Irizarry and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-12 with Mathematics categories.

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert. A complete solutions manual is available to registered instructors who require the text for a course.

Theory Of Adoption

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Author : Durvasula Srirama Sastri
language : en
Publisher:
Release Date : 1909

Theory Of Adoption written by Durvasula Srirama Sastri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1909 with Adoption (Hindu law) categories.

Smart Buildings Systems For Architects Owners And Builders

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Author : James M Sinopoli
language : en
Publisher: Butterworth-Heinemann
Release Date : 2009-11-09

Smart Buildings Systems For Architects Owners And Builders written by James M Sinopoli and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-09 with Technology & Engineering categories.

Smart Buildings Systems for Architects, Owners and Builders is a practical guide and resource for architects, builders, engineers, facility managers, developers, contractors, and design consultants. The book covers the costs and benefits of smart buildings, and the basic design foundations, technology systems, and management systems encompassed within a smart building. Unlike other resources, Smart Buildings is organized to provide an overview of each of the technology systems in a building, and to indicate where each of these systems is in their migration to and utilization of the standard underpinnings of a smart building. Written for any professional interested in designing or building smart Buildings systems, this book provides you with the fundamentals needed to select and utilize the most up to date technologies to serve your purpose. In this book, you'll find simple to follow illustrations and diagrams, detailed explanations of systems and how they work and their draw backs. Case studies are used to provide examples of systems and the common problems encountered during instillation. Some simple Repair and Trouble shooting tips are also included. After reading this book, builders, architects and owners will have a solid understanding of how these systems work which of these system is right for their project. Concise and easy to understand, the book will also provide a common language for ensure understanding across the board. Thereby, eliminating confusion and creating a common understanding among professionals. - Ethernet, TCP/IP protocols, SQL datebases, standard fiber optic - Data Networks and Voice Networks - Fire Alarm Systems, Access Control Systems and Video Surveillance Systems - Heating, Ventilating and Air Conditioning Systems and Electric Power Management Systems, Lighting Control Systems - Facility Management Systems

Data Science And Big Data Analytics

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Author : EMC Education Services
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-27

Data Science And Big Data Analytics written by EMC Education Services and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-27 with Computers categories.

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

Fundamentals Of Business Intelligence

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Author : Wilfried Grossmann
language : en
Publisher: Springer
Release Date : 2015-06-02

Fundamentals Of Business Intelligence written by Wilfried Grossmann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-02 with Computers categories.

This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.

Information Quality Management

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Author : Latif Al-Hakim
language : en
Publisher: IGI Global
Release Date : 2007-01-01

Information Quality Management written by Latif Al-Hakim and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-01 with Business & Economics categories.

Technologies such as the Internet and mobile commerce bring with them ubiquitous connectivity, real-time access, and overwhelming volumes of data and information. The growth of data warehouses and communication and information technologies has increased the need for high information quality management in organizations. Information Quality Management: Theory and Applications provides solutions to information quality problems becoming increasingly prevalent.Information Quality Management: Theory and Applications provides insights and support for professionals and researchers working in the field of information and knowledge management, information quality, practitioners and managers of manufacturing, and service industries concerned with the management of information.

This teacher-friendly book focuses on how secondary students learn and how those in different roles in schools can promote their learning.

Big Data Implementasi Hadoop Mapreduce Pada Pemetaan Sekolah Menggunakan Python

Big Data Implementasi Hadoop Mapreduce Pada Pemetaan Sekolah Menggunakan Python

Introduction To Data Science

Theory Of Adoption

Smart Buildings Systems For Architects Owners And Builders

Data Science And Big Data Analytics

Fundamentals Of Business Intelligence

Information Quality Management

Psychology Applied To Teaching

Learning By Design

Supporting Effective Learning

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