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Handbook of Research on Big Data Storage and Visualization Techniques

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Multimodal Analytics for Next-Generation Big Data Technologies and Applications

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.

Analisis Kinerja Manajemen

Laporan keuangan merupakan salah satu sumber informasi yang penting bagi para penggunanya, terutama dalam rangka pengambilan keputusan. Laporan keuangan akan menjadi lebih bermanfaat apabila informasi yang terkandung dalam laporan keuangan tersebut dapat digunakan untuk memprediksi apa yang akan terjadi di masa mendatang, melalui suatu proses perbandingan, evaluasi, dan analisis trend. Analisis laporan keuangan merupakan suatu proses untuk ”membedah” laporan keuangan ke dalam unsur-unsurnya, dan menelaah masing-masing dari unsur tersebut untuk memperoleh pengertian dan pemahaman yang baik atas kinerja manajemen. Hasil analisis laporan keuangan ini akan membantu analis dalam menginterpretasikan berbagai hubungan kunci antar pos laporan keuangan, serta dapat dijadikan sebagai dasar dalam menilai potensi keberhasilan manajemen di masa mendatang.

AI and Big Data’s Potential for Disruptive Innovation

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.

Big Data

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.

Performance and Capacity Implications for Big Data

Big data solutions enable us to change how we do business by exploiting previously unused sources of information in ways that were not possible just a few years ago. In IBM® Smarter Planet® terms, big data helps us to change the way that the world works. The purpose of this IBM RedpaperTM publication is to consider the performance and capacity implications of big data solutions, which must be taken into account for them to be viable. This paper describes the benefits that big data approaches can provide. We then cover performance and capacity considerations for creating big data solutions. We conclude with what this means for big data solutions, both now and in the future. Intended readers for this paper include decision-makers, consultants, and IT architects.

Perilaku Konsumen

Konsumen adalah entitas yangÊ mudah berubah. keinginan mereka tak selalu lurus, kadang berbelok dengan amat cepat. Untuk itu diperlukanlah suatu studi tentang perilaku konsumen agar segala gerak mereka mudah diantisipasi. --- Penerbit Kencana Prenadamedia Group

Manajemen Bisnis sebagai Ilmu dan Seni

Manajemen Bisnis Sebagai Ilmu dan Seni yang sedang Anda baca ini berisi informasi, pengetahuan, konsep, serta teori mengenai praktik dalam berorganisasi dan menjalankan bisnis. Apa pun latar belakang yang Anda miliki, buku ini secara praktis menguraikan teori dan konsep manajemen bisnis sebagai ilmu dan seni. Suatu pemaparan sederhana yang mudah dipahami pembacanya. Manajemen Bisnis Sebagai Ilmu dan Seni memiliki peran yang cukup penting dalam membantu setiap orang di dalam organisasi untuk memahami Planning, Leading, Organizing, dan Controlling (PLOC). Selain itu, buku ini juga membahas pengelolaan keuangan sederhana yang dapat digunakan sebagai pegangan bagi para pelaku bisnis pemula untuk menyusun laporan keuangan dan menganalisis kelayakan keuangan yang dimiliki perusahaan. Buku ini ditulis oleh pengajar yang juga praktisi di bidang Manajemen Bisnis, berdasarkan teori yang sudah ada sebelumnya dengan modifikasi dari praktik manajemen dan bisnis yang berjalan di sebuah organisasi atau perusahaan. Selamat membaca dan belajar Manajemen Bisnis Sebagai Ilmu dan Seni!

Hak anda dan pelayanan publik di bidang tanah dan bangunan

Land titles and building permits according to Indonesian laws and regulations.

MANAJEMEN BANK

Buku Manajemen Bank merupakan buku yang berisi kumpulan tulisan yang digunakan sebagai tambahan referensi bagi dosen dengan mahasiswa semester VII terutama yang sedang menempuh pada konsentrasi manajemen keuangan dan perbankan. Buku ini mencoba memberikan gambaran yang lengkap dan komprehensif berkaitan dengan teori dan konsep tentang manajemen bank. Sasaran penulisan buku ini adalah diperuntukkan sebagai tambahan referensi bagi mahasiswa, dosen dan masyarakat yang ingin mengetahui tentang manajemen bank . Pada bagian awal buku ini dari bab 1 s.d bab 2 membahas tentang gambaran tentang konsep pengertian bank ( bab 1) serta kegiatan –kegiatan yang biasa dijalankan oleh bank ( bab 2). Pada bab 3 s.d bab 5 membahas tentang kegiatan manajemen dana perbankan ( bab3), manajemen perkreditan bank (bab 4), manajemen jasa perbankan lainnya ( bab5). Pada bab 6 membahas tentang gambaran pengelolaan sumber daya manusia perbankan. Pada bab 7 s.d bab 9 membahas tentang manajemen risiko perbankan (bab 7), manajemen pemasaran bank (bab 8), pengelolaan analisis tingkat kesehatan bank (bab 9). Pada bagian akhir buku ini menjelaskan tentang keuangan bank seperti laporan keuangan bank (bab 10) dan rasio keuangan bank (bab 11),ditambah dengan materi ledership & human capital (bab 12).

The Influences of Big Data Analytics

The theoretical framework for this book was our ground-up theory of the Scope, Size, Speed, and Skill (4Ss) and Technological Situational Happenstances (TSHs) applied to Big data analytics. With in-depth research, we catechized the effects of the coalesced insights from big data influencing the architectures of incremental and radical business models. We discussed data inflation and the global impact of TSHs. We showed how deft leadership used insights gleaned from big data analytics to make strategic decisions. The big data syndrome led to Microsoft's acquisition of Nokia in our case study. Our study of APPLE Corporation's use of large datasets was explicitly analyzed. Leaderships' failure to incorporate those contextual elements afforded by insights gleaned from big data analytics, concomitant with the associated costs led to acute forms of irrational rationalism, groupthink, and faulty decision making. We explained the statistics used to essentially describe this paradigm shift, such as high dimensionality, incidental endogeneity, noise accumulation, spurious correlation, and computational costs. Significantly, machine learning challenged the status quo by effectively changing the existing technological landscape. To scholarly critics, how would supervised and un-supervised learning algorithms advance the trajectory of perspectives in applied knowledge under the umbrella of big data? Further, political and socio-economics tied to big data was examined. We recommended leaders should have a shared cognition on how to leverage analytics from large datasets for competitive advantages. Most significantly, leaders or managers should be cognizant of the inextricable synergies that seamlessly flow from adroitly implementing a strategy to profit from the speed, size, skill, and scope (i.e. the 4Ss) of the big data environment, conditioned by the leveraging of those transactional situational happenstances generated by increases in market volatility. We concluded the algorithmic processes of leveraging insights from big data have globally resulted in a disruption of current technological pathways.

Oracle Big Data Handbook

"Cowritten by members of Oracle's big data team, [this book] provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings"--Page 4 of cover.

MANAJEMEN KREDIT (Teori dan Konsep Bagi Bank Umum)

Buku Manajemen Kredit ini merupakan pengembangan dari buku Manajemen Bank yang pernah ditulis oleh Penulis pada edisi sebelumnya. Buku ini dapat menjadi rujukan referensi bagi mahasiswa perbankan yang ingin mendalami tentang bisnis perkreditan bank dan akademisi, tak lupa pula dapat ditujukan bagi praktisi dan pegawai bank dalam mendapatkan tambahan referensi tentang dunia bisnis perkreditan bagi bank umum dan BPR. Buku Manajemen Kredit ini berisi tentang Pengertian Kredit dan Jenis-jenisnya ( bab 1 ), Prinsip Dasar dan Kebijakan Pemberian Kredit ( bab 2 ), Perencanaan Kredit ( bab 3), Prosedur Umum Perkreditan ( bab 4 ) serta Administrasi kredit ( bab 5 ). Disamping kandungan isi buku diatas, buku manajemen kredit ini juga terdiri atas : analisa kredit ( bab 6), Mon itoring dan Pengawasan Kredit ( bab 7 ), Penanganan Kredit Bermasalah ( bab 8 ). Sedangkan pada bagian akhir buku ini berisi tentang, jaminan kredit ( bab 9), Suku Bunga Kredit ( bab 10 ) serta Asuransi Kredit dan Jaminan Kredit ( bab 11).

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.

Perilaku organisasi

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.

Enjeux et usages du Big Data  : Technologies, méthodes et mise en oeuvre

Le développement spectaculaire d’internet, des réseaux sociaux, de la technologie mobile et la multiplication des capteurs provoquent une croissance exponentielle des données à laquelle les entreprises doivent faire face : c’est le phénomène du Big Data. Ses enjeux sont considérables. Au-delà de la simple question technique du stockage, il offre la possibilité de tirer profit du contenu de ces nouvelles sources d’information. Les solutions décisionnelles classiques laissent progressivement place au Business Analytics et aux méthodes prédictives, transformant l’avalanche de données en valeur ajoutée. La technologie est aujourd’hui disponible, les bases de données traditionnelles ont évolué et les solutions dédiées à l’exploitation des données massives, telles que Hadoop, sont désormais opérationnelles. S’appuyant sur différents cas pratiques, Enjeux et usages du Big Data met l’accent sur les méthodes, les techniques et les ressources nécessaires pour permettre aux entreprises d’entrer avec succès dans l’ère de l’information à grande échelle.

Metode riset perilaku organisasi

PRAKTIKUM PERPAJAKAN: Program Studi S1 Manajemen

Buku ini menekankan pada penyelesaian kasus-kasus sampai pada pengisian formulir serta pelaporannya dalam SPT (Surat Pemberitahuan), baik masa ataupun tahunan. Kasus-kasus perpajakan yang dimuat terdiri dari PPN dan PPnBM, PPh OP 1770 S, PPh OP 1770, PPh 21, dan PPh Badan.

Pelayanan Prima Instansi Pemerintah

Buku pelayanan prima instansi pemerintah ini mencoba mengungkapkan secara kritis bagaimana kondisi sebenarnya pelayanan prima di instansi pemerintah di Indonesia.di pahami pelayanan prima merupakan terjemahan istilah “excellent service” yang secara harfiah artinya pelayanan terbaik atau pelayanan yang sangat memuaskan. Disebut sangat memuaskan atau terbaik karena sesuai dengan standar pelayanan yang berlaku atau dimiliki instansi pemberi pelayanan. Sejatinya hakikat pelayanan publik adalah pemberian pelayanan prima kepada masyarakat yang merupakan perwujudan kewajiban aparatur pemerintah sebagai abdi masyarakat. Di Indonesia sebagaimana diketahui bahwa pelayanan publik khususnya di kantor-kantor pemerintah belum semua mencapai pelayanan prima sebagaimana yang diharapkan. Terutama instansi-instansi pelayanan publik di pelosok-pelosok Tanah Air. Karena itu juga keterbatasan yang ada sehingga pelayanan prima belum memuaskan. Kendati demikian, banyak juga instansi-instansi pelayanan publik pemerintah di perkotaan telah mampu menerapkan pelayanan prima. Buku persembahan penerbit PrenadaMediaGroup