Koleksi Perpustakaan

Mobile Big Data

This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective. Further, it provides an overview of new methodologies designed to take mobile big data to the Cloud, enable the processing of real-time streaming events on-the-move and enhance the integration of resource availability through the ‘Anywhere, Anything, Anytime’ paradigm. By providing both academia and industry researchers and professionals with a timely snapshot of emerging mobile big data-centric systems and highlighting related pitfalls, as well as potential solutions, the book fills an important gap in the literature and fosters the further development in the area of mobile technologies for exploiting mobile big data.

Big Data Analytics with Spark

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert. Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics. This book provides an introduction to Spark and related big-data technologies. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy professionals who prefer learning a new technology from a consolidated source instead of spending countless hours on the Internet trying to pick bits and pieces from different sources. The book also provides a chapter on Scala, the hottest functional programming language, and the program that underlies Spark. You’ll learn the basics of functional programming in Scala, so that you can write Spark applications in it. What's more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to know is programming in any language. There is a critical shortage of people with big data expertise, so companies are willing to pay top dollar for people with skills in areas like Spark and Scala. So reading this book and absorbing its principles will provide a boost—possibly a big boost—to your career.

Big Data Handbook

Big Data Analytics Beyond Hadoop

Master alternative Big Data technologies that can do what Hadoop can't: real-time analytics and iterative machine learning. When most technical professionals think of Big Data analytics today, they think of Hadoop. But there are many cutting-edge applications that Hadoop isn't well suited for, especially real-time analytics and contexts requiring the use of iterative machine learning algorithms. Fortunately, several powerful new technologies have been developed specifically for use cases such as these. Big Data Analytics Beyond Hadoop is the first guide specifically designed to help you take the next steps beyond Hadoop. Dr. Vijay Srinivas Agneeswaran introduces the breakthrough Berkeley Data Analysis Stack (BDAS) in detail, including its motivation, design, architecture, Mesos cluster management, performance, and more. He presents realistic use cases and up-to-date example code for: Spark, the next generation in-memory computing technology from UC Berkeley Storm, the parallel real-time Big Data analytics technology from Twitter GraphLab, the next-generation graph processing paradigm from CMU and the University of Washington (with comparisons to alternatives such as Pregel and Piccolo) Halo also offers architectural and design guidance and code sketches for scaling machine learning algorithms to Big Data, and then realizing them in real-time. He concludes by previewing emerging trends, including real-time video analytics, SDNs, and even Big Data governance, security, and privacy issues. He identifies intriguing startups and new research possibilities, including BDAS extensions and cutting-edge model-driven analytics. Big Data Analytics Beyond Hadoop is an indispensable resource for everyone who wants to reach the cutting edge of Big Data analytics, and stay there: practitioners, architects, programmers, data scientists, researchers, startup entrepreneurs, and advanced students.

MENINGKATKAN KECERDASAN PERILAKU

Buku yang sangat lengkap mengupas tentang ilmu perilaku, sejarah dan latar belakangnya serta dilengkapi dengan contoh-contoh praktis dan aplikatif dalam menggunakan prinsip ilmu perilaku berdasarkan DISC (Dominan-Intim-Stabil-Cermat), peran dalam kelompok serta memahami motivasi tersembunyi seseorang. Buku ini didukung sepenuhnya oleh Founder The Institute for Motivational Living, Inc., USA dan telah diakui sebagai buku panduan bagi setiap orang yang ingin belajar ilmu perilaku, DISC dan seluruh aplikasinya di dalam karir, keluarga dan kehidupan. Buku berwarna ini disajikan dengan desain grafis yang tepat akan menjawab semua kebutuhan gaya belajar pembaca, Anda akan menikmati sajian pengetahuan yang penuh gambar, bukan hanya kata-kata semata. Meraih kesuksesan di dalam karir, keluarga dan kehidupan bukanlah hal yang sulit jika kita mau belajar, melalui buku ini Anda akan belajar bagaimana dengan meningkatkan kecerdasan perilaku akan menolong Anda dalam meraih kesuksesan.

Big Data in Engineering Applications

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.

Manajemen Institusi Pendidikan

Persediaan buku-buku di perpustakaan sudah banyak yang membahas tentang manajemen institusi pendidikan, sehingga penulis terdorong untuk menyusun Buku Manajemen Institusi Pendidikan dengan harapan akan memperluas wawasan mahasiswa dalam memperdalam matakuliah tersebut.

Perilaku membisu dalam organisasi Tentera Darat Malaysia

Manajemen privatisasi BUMN

Privatization of government business enterprises in Indonesia.

Internet of Things and Big Data Technologies for Next Generation Healthcare

This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.

Analytics and Big Data: The Davenport Collection (6 Items)

The Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace. An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you. Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also an independent Senior Advisor to Deloitte Analytics.

Dasar-dasar manajemen keuangan

Manajemen Administrasi Perkantoran

Perilaku organisasi

BHC Book Series Praktis Web Statis

Buku ini berisi tutorial tentang dasar-dasar HTML dan CSS. Dibahas pula beberapa CSS Framework dan dilengkapi dengan project membuat desain layout halaman web. Buku ini cocok bagi yang baru belajar tentang web. Dapat juga digunakan untuk bahan praktikum mata kuliah yang berkaitan dengan web.

Big Data

Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies in Geoinformatics tackles these challenges head on, integrating coverage of techniques and technologies for storing, managing, and computing geospatial big data. Providing a perspective based on analysis of time, applications, and resources, this book familiarizes readers with geospatial applications that fall under the category of big data. It explores new trends in geospatial data collection, such as geo-crowdsourcing and advanced data collection technologies such as LiDAR point clouds. The book features a range of topics on big data techniques and technologies in geoinformatics including distributed computing, geospatial data analytics, social media, and volunteered geographic information. With chapters contributed by experts in geoinformatics and in domains such as computing and engineering, the book provides an understanding of the challenges and issues of big data in geoinformatics applications. The book is a single collection of current and emerging techniques, technologies, and tools that are needed to collect, analyze, manage, process, and visualize geospatial big data.

5 Cara Jitu agar Web Anda Ranking 1 di Google

"""Sulitkah menembus peringkat 1 hasil pencarian Google? Ahh.. tidak lagi. Ada berbagai cara dan metode sederhana untuk menjadikan website kita ranking 1 di Google, melesat jauh meninggalkan para pesaing kita. Kalau Anda pemilik website, toko online, atau blogger yang bingung bagaimana belajar SEO, bagaimana menjadikan website ranking 1 di Google, maka silakan pelajari buku ini. Bayangkan, betapa banyak dampak positif yang didapat apabila ranking 1 di Google. Branding Anda akan semakin naik, Anda semakin populer di internet, serta website atau toko online Anda akan kedatangan banyak pengunjung dan pembeli, yang akan membuat omzet bisnis online Anda meningkat drastis. Ehh siapa tahu, berkat ranking 1 di Google, Anda bisa jadi miliarder di internet. Aamiin. Buku ini akan menjawab sederet pertanyaan dahsyat, seperti: * Bagaimana cara “paling gampang” dan praktis untuk riset kata kunci bagi pemula? * Bagaimana trik altenatif ranking 1 di Google tanpa perlu berjibaku dengan beratnya SEO? Cukup alunkan jari sekitar 15 menit, Anda berpotensi sangat besar ranking 1 di Google. Penasaran triknya? Baca buku ini. * Bagaimana cara-cara lengkap menjadikan website dicintai pengunjung dan disukai Google? * Bagaimana cara menaklukkan algoritma-algoritma dari Google, seperti Panda, Penguin, dan Hummingbird? * Bagaimana meroketkan peringkat website bermodalkan teknik SEO on page dan SEO off page sederhana? Juga dibahas sederet tips dan trik optimasi SEO melalui jejaring sosial (khususnya Facebook dan Twitter)."""

Big Data and Networks Technologies

This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to: signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart cities, networks technologies, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. In turn, data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and the social sciences. All papers presented here are the product of extensive field research involving applications and techniques related to data analysis in general, and to big data and networks technologies in particular. Given its scope, the book will appeal to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well general readers interested in big data analysis and networks technologies.

Teknik menumbuhkan dan memelihara perilaku organisasi

Manajemen Finansial dengan Excel

Dalam pekerjaan perkantoran atau bisnis, penggunaan Excel yang paling umum adalah untuk pengolahan data keuangan. Excel mampu melakukan pengolahan data finansial karena memiliki banyak fungsi yang mendukung untuk keperluan itu. Buku ini menjelaskan cara mendayagunakan Excel untuk melakukan berbagai pengolahan data keuangan. Di sini dibahas fungsi-fungsi keuangan dalam Excel dan penerapannya dalam sebuah studi kasus. Anda akan dipandu tahap demi tahap hingga menguasai fungsi-fungsi finansial yang dibutuhkan. Selengkapnya, materi yang dibahas meliputi: - Fungsi-fungsi finansial Excel - Studi kasus pengolahan data finansial dengan Excel - Pencetakan dan penyajian data