Tabla de Contenidos: “…Rapid application development -- part V. Big data -- part VI. Data grids…”

“…MongoDB ist die populärste NoSQL-Datenbank und hat eine große Bedeutung im Big-Data-Umfeld. Autor ist durch zahlreiche Veröffentlichungen und Vorträge bekannt…”

“…Nishant and Gianluca discuss privacy engineering, Big Data, and ethics. Their dynamic conversation in this Code Call Session is geared toward technologists and others who deal with sensitive data…”

“…Leverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your dataKey Features* Learn to ingest, prepare, manage, and serve data for immediate business requirements* Bring enterprise data warehousing and big data analytics together to gain insights from your data* Develop end-to-end analytics solutions using Azure SynapseBook DescriptionAzure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. …”

“…It can be used for handling small and big data on your local laptop or on remote clusters using CPUs or GPUs. …”

“…In this Introduction to Hadoop Security training course, expert author Jeff Bean will teach you how to use Hadoop to secure big data clusters. This course is designed for users that are already familiar with the basics of Hadoop. …”

“…The first collection of cases on “big data” analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. …”

“…Here's what to expect: &#9679 Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value &#9679 Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL &#9679 And more It's a big, big data world out there-let Data Science For Dummies help you harness its power and gain a competitive edge for your organization…”

Tabla de Contenidos: “…-- How is Big Data stored? -- How is Big Data used? -- The data lake concept -- What is artificial intelligence? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Acknowledgments -- Contributors -- Table of Contents -- Preface -- Part 1 Federated Learning -- Conceptual Foundations -- Chapter 1: Challenges in Big Data and Traditional AI -- Understanding the nature of big data -- Definition of big data -- Big data now -- Triple-A mindset for big data -- Data privacy as a bottleneck -- Risks in handling private data -- Increased data protection regulations -- From privacy by design to data minimalism -- Impacts of training data and model bias -- Expensive training of big data -- Model bias and training data…”

Tabla de Contenidos: “…K-means clustering on big dataLoading big matrices; Big data K-means clustering analysis; Big data linear regression analysis; Loading big data; Fitting a linear regression model on large datasets; Summary; References; Chapter 5: FX Derivatives; Terminology and notations; Currency options; Exchange options; Two-dimensional Wiener processes; The Margrabe formula; Application in R; Quanto options; Pricing formula for call quanto; Pricing a call quanto in R; Summary; References; Chapter 6: Interest Rate Derivatives and Models; The Black model; Pricing a cap with Black's model; The Vasicek model…”

“…The first book to draw a direct line between the datafication and prediction techniques of past eugenicists and today's often violent and extractive "big data" regimes. Predatory Data illuminates the throughline between the nineteenth century's anti-immigration and eugenics movements and our sprawling systems of techno-surveillance and algorithmic discrimination. …”

“…Annotation Applications and experiments in all areas of science are becoming increasingly complex and more demanding in terms of their computational and data requirements Some applications generate data volumes reaching hundreds of terabytes and even petabytes Analyzing, visualizing, and disseminating these large data sets has become a major challenge and data intensive computing is now considered as the fourth paradigm in scientific discovery after theoretical, experimental, and computational science As scientific applications become more data intensive, the technologies of handling Big Data have gathered great importance This necessity has made that applications have seen an increasing adoption on clouds infrastructures The computing models, system software, programming models, analysis frameworks, and other clouds services need to evolve and accommodate them to face the challenge of big data applications…”

“…This book provides insightful guidance, real-world success stories and practical tools to achieve growth in this new era, utilizing big data to achieve a deeper understanding of demand, customers, competitors, and opportunity. …”

Tabla de Contenidos: “…Hinton and Tracey Platt -- Identify, interpret, monitor and respond to quantitative consumer data on social media / Amy Jauman -- Alternative research methods: introducing market sensing : a qualitative and interpretive perspective on research / David Longbottom and Alison Lawson -- Big data : data visualization and quantitative research apps / Vaidas Lukosius and Michael R. …”

Tabla de Contenidos: “…What we can learn from engineers and musicians / Jürgen Faisst -- El paper del Big Data en el reporting i la presa de decisions / Alfonso Fernández -- Data Visualisation Literacy – Learning to See / Andy Kirk -- Reporting 2.0 – Interactive Visualizations and Dashboardsfor Big Data / Heimo Losbichler, Lisa Perkhofer, Peter Hofer,Johannes Winzer -- Information Management – A holistic approach / Jens Ropers -- SEGONA PART, Casos pràctics -- How to implement IBCS®? …”

Tabla de Contenidos: “…Understanding graph basics ; Reconnecting the dots ; Discovering graph secrets ; Getting the right web page -- Struggling with big data. Managing big data ; Parallelizing operations ; Compressing data -- Challenging difficult problems. …”

Tabla de Contenidos: “…-- Network Infrastructure Today -- Storage Software -- Software-Defined Storage -- Today's Hot Issues -- Tuning the Network -- Big Data -- High-Performance Computing…”

“…You also learn how XML and JSON are used in AJAX (and AJAJ), Android, Big Data, and Web Services contexts, all from the Java perspective. …”

Tabla de Contenidos: “…Part 1: Big Data and Global Health Landscape -- Chapter 1. …”