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With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.Comparing and contrasting the dif
Bisnis pengembangan website sudah menjamur di mana-mana, mulai dari yang sederhan hingga kompleks (Web Portal). Mulai dari yang hanya teks saja hingga penyediaan menu dan fitur menggunakan berbagai media seperti gambar, animasi, hingga video. Hal itu dilakukan untuk menarik pengunjung sebanyak-banyaknya agar menikmati informasi yang disajikan. Lahirnya sebuah software yang dapat menjawab semua tantangan tersebut dipicu oleh adanya kebutuhan masyarakat dunia yang ingin mendesain sebuah web secara cepat, simple, tapi memiliki kemampuan yang powefull. Salah satu software terpopuler saat ini adalah Joomla Open Source, di mana software tersebut sangat mendukung berbagai kebutuhan untuk membangun web mulai dari desain sederhana hingga tersedianya fasilitas multibahasa bertaraf internasional. Orang tidak perlu lagi membuat script yang rumit dan membutuhkan waktu yang lama hanya sekedar membuat sebuah website. Cukup dengan Joomla!, siapapun bisa mendesain web portal secara cepat, impresif dan “powerfull”. Buku ini disusun berdasarkan pengalaman penulis dalam memberikan training di beberapa lembaga pelatihan dan telah mengembangkan web menggunakan Joomla!. Studi kasus dijelaskan secara runut dengan bahasa yang ringan. Teknik penyediaan fasilitas multibahasa dikupas secara tuntas, berawal dari proses instalasi, penambahan aplikasi video player, random article, slide show, hingga penyediaan multibahasa sesuai kebutuhan.
This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems. All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.
This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.
pembentukan semangat kewirausahaan berupa pola pikir, pengetahuan dan keterampilan untuk menjadi seorang wirausaha sukses disajikan secara luas dan step by step dalam buku ini. *** Persembahan penerbit Kencana (Prenadamedia Group)
Keterampilan manajerial adalah keterampilan untuk mengatur, mengoordinasikan dan menggerakkan para bawahan ke arah pencapaian tujuan yang telah ditentukan organisasi. Kemampuan manajerial tidak begitu saja muncul. Kemampuan ini lahir dari suatu proses panjang yang terjadi secara perlahan melalui proses pengamatan dan pembelajaran. Seorang pimpinan usaha, dituntut untuk memiliki kemampuan manajerial, sehingga kegiatan mengintegrasikan, mengoordinasikan, dan menggerakkan para bawahan dalam ruang lingkup usaha yang besar, dapat dilakukan dengan baik.
Jaringan komputer (computer networking) adalah salah satu teknik efisiensi di dunia komputasi modern. Dunia networking memungkinkan proses komputasi secara paralel dalam waktu yang bersamaan. Hal ini menjadikan banyak sumber daya (resource) bisa digunakan dalam waktu yang bersamaan, sehingga meningkatkan efisiensi per komputer. Dahulu ketika teknologi komputer belum memungkinkan pembuatan jaringan, sebuah komputer hanya merupakan benda tunggal atau lazim disebut stand alone. Kondisi stand alone adalah kondisi yang tidak efisien mengingat hanya satu sumber daya dialokasikan untuk mengolah data. Buku ini membahas teori dan praktek pembuatan jaringan komputer untuk rumah tangga dan UKM. Kelebihan buku ini adalah istilah jaringan dijelaskan dari awal, dan teknologi jaringan yang dibahas p2p yang cocok dipakai untuk pemula guna diterapkan di rumah tangga dan kantor berskala kecil.
Buku Manajemen Keuangan ini merupakan salah satu media penting yang perlu diketahui oleh para pembaca yang ingin mengenal pengelolaan keuangan. Pengelolaan keuangan mutlak dilakukan agar suatu kegiatan dapat dijalankan dan berhasil dengan baik. Dalam setiap kegiatan, pimpinan selalu berhadapan dengan berbagai masalah yang timbul dalam menjalankan tugasnya. Untuk menjalankan tugasnya ini, masalah keuangan tidak dapat diabaikan, tetapi harus mendapatkan perhatian yang cukup serius. Manajemen keuangan merupakan pegangan terbaik untuk mengetahui secara teori tentang keuangan dan dapat diaplikasikan dalam melaksanakan tugas-tugas kegiatan tersebut. Dalam buku ini ditunjukkan setiap kegiatan yang menggunakan keuangan. Buku ini juga membahas secara jelas dan menambahkan contoh-contoh dan penyelesaiannya agar pengelola keuangan dapat mempraktikkannya dalam kegiatan sehari-hari. Begitu pula dalam proses belajar mengajar, berdasarkan pengalaman penulis dalam memberikan pelajaran manajemen keuangan, buku Manajemen Keuangan ini merupakan salah satu bahan kuliah untuk kelancaran mahasiswa dalam menyelesaikan studinya, baik program strata satu (S1) maupun program strata dua (S2). Buku ini dilengkapi bahan latihan mahasiswa dengan soal dan latihan pada setiap akhir bab. Di samping itu, bagi para pengajar manajemen keuangan, buku ini dapat menjadi salah satu pegangan bahan acuan dalam memberikan ilmunya. Buku ini disajikan untuk pengelolaan keuangan, baik jangka pendek, antara lain sepertimanajemen kas, manajemen piutang, manajemen persediaan; juga untuk keputusan pendanaan jangka menengah, antara lain seperti leasing; maupun keputusan jangka panjang, antara lain sepertimelakukan investasi, longterm fi nancing decisions, merger, dan acquisition, reorganisasi, dan manajemen keuangan internasional. Di samping itu, dilengkapi pula dengan ringkasan pada setiap akhir bab.
Sekarang ini, sebuah website lazim diakses dari berbagai platform, mulai dari komputer desktop sampai peranti mobile. Desainer web dan para pengelola website seharusnya dapat melihat tren ini. Website modern harus dapat mengakomodasi kebutuhan internet untuk pengguna smartphone. Buku ini membahas tren baru pengembangan web, yaitu Responsive Web Design (RWD) dengan menggunakan tool HTML5 dan CSS3. Melalui teknik desain web responsif, secara cepat dan praktis Anda dapat menyulap website untuk dapat diakses dari berbagai platform peranti, tanpa harus mengembangkan aplikasi-aplikasi tersendiri untuk tiap jenis platform peranti. Pembahasan selengkapnya meliputi: Sekilas tentang desain responsif. Fitur terbaru dalam HTML 5 dan CSS 3. Pengenalan media query. Desain responsif dengan layout uid.
Bahan Praktikum Pengauditan PDE ini disusun dengan maksud memberi latihan kepada para peserta agar mereka mendapat gambaran yang jelas tentang prinsip-prinsip pokok dan penyiapan kertas kerja pemeriksaan. Selain itu juga memberi latihan Pengauditan PDE. Praktikum Pengauditan PDE ini direncanakan untuk tatap muka 14 kali di dalam kelas dengan masing-masing pertemuan selama 150 menit.
Buku persembahan penerbit AbdiSistematika ini disusun salah satunya untuk menjawab tentang perlunya panduan praktis analisis dan perancangan Sistem Informasi Manajemen Keuangan Daerah. Penulis melakukan terobosan dengan menggunakan notasi pemodelan Unified Modeling Language (UML). UML adalah sebuah bahasa untuk menspesifikasikan, memvisualisasikan, merancang dan mendokumentasikan perangkat sistem software yang baik untuk pemodelan bisnis dan sistem lainnya selain software. UML merepresentasikan sebuah pengumpulan praktek rekayasa terbaik yang telah terbukti sukses dalam pemodelan sistem yang kompleks dan besar. UML menawarkan sebuah standar untuk merancang model sebuah sistem. -Abdi Sistematika- #Unpad #60thFEBUnpad
Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.
Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies About This Book Comprehend the intricacies of architecting a Data Lake and build a data strategy around your current data architecture Efficiently manage vast amounts of data and deliver it to multiple applications and systems with a high degree of performance and scalability Packed with industry best practices and use-case scenarios to get you up-and-running Who This Book Is For This book is for architects and senior managers who are responsible for building a strategy around their current data architecture, helping them identify the need for a Data Lake implementation in an enterprise context. The reader will need a good knowledge of master data management and information lifecycle management, and experience of Big Data technologies. What You Will Learn Identify the need for a Data Lake in your enterprise context and learn to architect a Data Lake Learn to build various tiers of a Data Lake, such as data intake, management, consumption, and governance, with a focus on practical implementation scenarios Find out the key considerations to be taken into account while building each tier of the Data Lake Understand Hadoop-oriented data transfer mechanism to ingest data in batch, micro-batch, and real-time modes Explore various data integration needs and learn how to perform data enrichment and data transformations using Big Data technologies Enable data discovery on the Data Lake to allow users to discover the data Discover how data is packaged and provisioned for consumption Comprehend the importance of including data governance disciplines while building a Data Lake In Detail A Data Lake is a highly scalable platform for storing huge volumes of multistructured data from disparate sources with centralized data management services. This book explores the potential of Data Lakes and explores architectural approaches to building data lakes that ingest, index, manage, and analyze massive amounts of data using batch and real-time processing frameworks. It guides you on how to go about building a Data Lake that is managed by Hadoop and accessed as required by other Big Data applications. This book will guide readers (using best practices) in developing Data Lake's capabilities. It will focus on architect data governance, security, data quality, data lineage tracking, metadata management, and semantic data tagging. By the end of this book, you will have a good understanding of building a Data Lake for Big Data. Style and approach Data Lake Development with Big Data provides architectural approaches to building a Data Lake. It follows a use case-based approach where practical implementation scenarios of each key component are explained. It also helps you understand how these use cases are implemented in a Data Lake. The chapters are organized in a way that mimics the sequential data flow evidenced in a Data Lake.
This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.
In 2012, the Defense Intelligence Agency (DIA) approached the National Research Council's TIGER standing committee and asked it to develop a list of workshop topics to explore the impact of emerging science and technology. From the list of topics given to DIA, three were chosen to be developed by the Committee for Science and Technology Challenges to U.S. National Security Interests. The first in a series of three workshops was held on April 23-24, 2012. This report summarizes that first workshop which explored the phenomenon known as big data. The objective for the first workshop is given in the statement of task, which explains that that workshop will review emerging capabilities in large computational data to include speed, data fusion, use, and commodification of data used in decision making. The workshop will also review the subsequent increase in vulnerabilities over the capabilities gained and the significance to national security. The committee devised an agenda that helped the committee, sponsors, and workshop attendees probe issues of national security related to so-called big data, as well as gain understanding of potential related vulnerabilities. The workshop was used to gather data that is described in this report, which presents views expressed by individual workshop participants. Big Data: A Workshop Report is the first in a series of three workshops, held in early 2012 to further the ongoing engagement among the National Research Council's (NRC's) Technology Insight-Gauge, Evaluate, and Review (TIGER) Standing Committee, the scientific and technical intelligence (S&TI) community, and the consumers of S&TI products.
Big Data: A Business and Legal Guide supplies a clear understanding of the interrelationships between Big Data, the new business insights it reveals, and the laws, regulations, and contracting practices that impact the use of the insights and the data. Providing business executives and lawyers (in-house and in private practice) with an accessible primer on Big Data and its business implications, this book will enable readers to quickly grasp the key issues and effectively implement the right solutions to collecting, licensing, handling, and using Big Data. The book brings together subject matter experts who examine a different area of law in each chapter and explain how these laws can affect the way your business or organization can use Big Data. These experts also supply recommendations as to the steps your organization can take to maximize Big Data opportunities without increasing risk and liability to your organization. Provides a new way of thinking about Big Data that will help readers address emerging issues Supplies real-world advice and practical ways to handle the issues Uses examples pulled from the news and cases to illustrate points Includes a non-technical Big Data primer that discusses the characteristics of Big Data and distinguishes it from traditional database models Taking a cross-disciplinary approach, the book will help executives, managers, and counsel better understand the interrelationships between Big Data, decisions based on Big Data, and the laws, regulations, and contracting practices that impact its use. After reading this book, you will be able to think more broadly about the best way to harness Big Data in your business and establish procedures to ensure that legal considerations are part of the decision.
Buku ini menjelaskan pentingnya membangun konstruksi perekonomian dan sistem bisnis yang tepat. Agar Indonesia dan para pelaku bisnis tetap eksis dan dapat membangun daya saing berkelanjutan, kita sangat membutuhkan proses rethinking dan reframing konstruksi sistem sosial-ekonomi serta restrukturisasi tatanan kelembagaan yang sejuk dan terintegrasi.” -Prasetiya Mulya Publishing-
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.
