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Koleksi Perpustakaan
Koleksi otomatis dari Perpustakaan
1.604 item publik
Publikasi
Big Data
Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands
Manajemen Investasi Fundamental, Teknikal, Perilaku Investor dan Return Saham
Perubahan harga saham sebagai representasi perilaku investor yang memperdagangkan saham di pasar modal tidak hanya ditentukan oleh faktor internal perusahaan, tetapi juga oleh faktor eksternal perusahaan. Internal dan eksternal perusahaan merupakan faktor fundamental yang sering dipakai sebagai dasar para investor di pasar modal untuk mengambil keputusan investasi. [Penerbit Deepublish, Deepublish, Investasi]
Perilaku partai politik
Planning for Big Data
In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative. As this emerging field transitions from the bleeding edge to enterprise infrastructure, it's vital to understand not only the technologies involved, but the organizational and cultural demands of being data-driven. Written by O'Reilly Radar's experts on big data, this anthology describes: The broad industry changes heralded by the big data era What big data is, what it means to your business, and how to start solving data problems The software that makes up the Hadoop big data stack, and the major enterprise vendors' Hadoop solutions The landscape of NoSQL databases and their relative merits How visualization plays an important part in data work
Manajemen Risiko pada Perusahaan & Birokrasi
Risiko adalah sama dengan ketidakpastian (uncertainty) akan terjadinya suatu kejadian yang menimbulkan masalah, dan peluang bagi organisasi perusahaan, pemerintah, dan perorangan dalam kehidupan sehari-hari. Para birokrat, eksekutif, industraialis, karyawan, investor, mahasiswa, rumah tangga, para pelancong, nelayan, dan petani, siapa saja selalu berhadapan dengan berbagai jenis risiko. Suka dan atau tidak suka, kita harus menggaulinya. Kadang-kadang risiko dianalisis, dan dikelola secara sadar, akan tetapi kadang-kadang dibaikan, dan tidak menyadari akibatnya. Buku ini membahas tentang manajemen risko sebagai proses identifikasi risiko, evaluasi risiko, memilih teknik menajemen risiko, implementasi dan mengkaji ulang keputusan manajemen risiko.
Intelektual, inteligensia dan perilaku politik bangsa
Intellectual role of Islamic scholars in Indonesia; collected articles.
Soft Computing in Big Data Processing
Big data is an essential key to build a smart world as a meaning of the streaming, continuous integration of large volume and high velocity data covering from all sources to final destinations. The big data range from data mining, data analysis and decision making, by drawing statistical rules and mathematical patterns through systematical or automatically reasoning. The big data helps serve our life better, clarify our future and deliver greater value. We can discover how to capture and analyze data. Readers will be guided to processing system integrity and implementing intelligent systems. With intelligent systems, we deal with the fundamental data management and visualization challenges in effective management of dynamic and large-scale data, and efficient processing of real-time and spatio-temporal data. Advanced intelligent systems have led to managing the data monitoring, data processing and decision-making in realistic and effective way. Considering a big size of data, variety of data and frequent changes of data, the intelligent systems basically challenge new data management tasks for integration, visualization, querying and analysis. Connected with powerful data analysis, the intelligent systems will provide a paradigm shift from conventional store and process systems. This book focuses on taking a full advantage of big data and intelligent systems processing. It consists of 11 contributions that feature extraction of minority opinion, method for reusing an application, assessment of scientific and innovative projects, multi-voxel pattern analysis, exploiting No-SQL DB, materialized view, TF-IDF criterion, latent Dirichlet allocation, technology forecasting, small world network, and classification & regression tree structure. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and authorization.
Big Data
This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.
Perubahan perilaku politik dan polarisasi ummat Islam 1965-1987
Data Analysis Using Big Data & Hadoop Framework
The book is all about the Introduction to Data Analytics using Big Data and Hadopp Framework. It covers the basics of Big Data Technology and Hadoop Framework, used to achieve the goal of data analytics. The intial chapter covers basics of Big Data and its background related to data analytics. Further, it covers description about some of the tools and technologies used for Data Analytics followed by Requirement Specification and Dataset representations. Later, Implementation and result analysis has been covered using Airlines Data Set as an example. The book is authored by Dr. Amit Wadhwa, Assistant Professor, Amity University Haryana (India).
Manajemen Public Relations
Buku ini mencoba menghadirkan uraian seimbang antara humas organisasi nonbisnis dan humas organisasi bisnis. *** Persembahan penerbit Kencana (Prenadamedia Group)
Perilaku politik kiai
Participation of Muslim scholars in political development in Indonesia.
Encyclopedia of Big Data Technologies
The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 300 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science. Each peer-reviewed, highly structured entry provides the reader with basic terminology, subject overviews, key research results, application examples, future directions, cross references and a bibliography. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals. In addition, the distinguished, international editorial board of the encyclopedia consists of well-respected scholars, each developing topics based upon their expertise.
PERILAKU KONSUMEN DI MASA BISNIS ONLINE
Buku ini memberikan gambaran mengenai adanya perubahan pola perilaku konsumen dari pola konvensional (tradisional) menjadi pola digital (online) dengan berbagai fenomena dan faktor yang menyebabkan perubahan tersebut. Selengkapnya buku ini berisi: • Definisi dan konsep dasar.
Big Data Analytics
The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.
Perilaku politik elit agama di Sulawesi Selatan
Political behavior of Muslim religious functionaries in 6 political party in Sulawesi Selatan, Indonesia.
MANAJEMEN LEMBAGA KEUANGAN SYARIAH
Ruh buku ini bukanlah sebuah karya cipta, tidaklah pula menerbitkan sebuah model dan konsep baru. Buku ini disusun semata sebagai bahan ajar bagi penulis di kelas. Agar penulis memiliki arah yang jelas dalam mengajar, sehingga para siswa juga memiliki konsep yang pasti, apa yang akan dan sedang dia pelajari. Sehingga buku ini lebih merupakan catatan perkuliahan bagi siswa dan pengembangan silabus dan RPS bagi penulis sebagai pengajar di kelas.