Produkt zum Begriff Big Data Analytics:
-
Network Security with Netflow and IPFIX: Big Data Analytics for Information Security
A comprehensive guide for deploying, configuring, and troubleshooting NetFlow and learning big data analytics technologies for cyber security Today’s world of network security is full of cyber security vulnerabilities, incidents, breaches, and many headaches. Visibility into the network is an indispensable tool for network and security professionals and Cisco NetFlow creates an environment where network administrators and security professionals have the tools to understand who, what, when, where, and how network traffic is flowing. Network Security with NetFlow and IPFIX is a key resource for introducing yourself to and understanding the power behind the Cisco NetFlow solution. Omar Santos, a Cisco Product Security Incident Response Team (PSIRT) technical leader and author of numerous books including the CCNA Security 210-260 Official Cert Guide, details the importance of NetFlow and demonstrates how it can be used by large enterprises and small-to-medium-sized businesses to meet critical network challenges. This book also examines NetFlow’s potential as a powerful network security tool. Network Security with NetFlow and IPFIX explores everything you need to know to fully understand and implement the Cisco Cyber Threat Defense Solution. It also provides detailed configuration and troubleshooting guidance, sample configurations with depth analysis of design scenarios in every chapter, and detailed case studies with real-life scenarios. You can follow Omar on Twitter: @santosomar NetFlow and IPFIX basics Cisco NetFlow versions and features Cisco Flexible NetFlow NetFlow Commercial and Open Source Software Packages Big Data Analytics tools and technologies such as Hadoop, Flume, Kafka, Storm, Hive, HBase, Elasticsearch, Logstash, Kibana (ELK) Additional Telemetry Sources for Big Data Analytics for Cyber Security Understanding big data scalability Big data analytics in the Internet of everything Cisco Cyber Threat Defense and NetFlow Troubleshooting NetFlow Real-world case studies
Preis: 25.67 € | Versand*: 0 € -
Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data
The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management Organizations are capturing exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantage. Suddenly, you can go beyond understanding “how, when, and where” events have occurred, to understand why – and use this knowledge to reshape the future. Now, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) have brought together the latest techniques, best practices, and research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today’s definitive guide to analytics strategy, planning, organization, implementation, and usage. It covers everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance. The authors offer specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world examples, including chapter-length case studies from healthcare, retail, and financial services. Enterprise Analytics will be an invaluable resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product managers; product, financial, and marketing analysts; CIOs and other IT leaders; data, web, and data warehouse specialists, and many others.
Preis: 29.95 € | Versand*: 0 € -
Getting Started with Data Science: Making Sense of Data with Analytics
Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy!Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now.Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories.Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing.You’ll master data science by answering fascinating questions, such as:• Are religious individuals more or less likely to have extramarital affairs?• Do attractive professors get better teaching evaluations?• Does the higher price of cigarettes deter smoking?• What determines housing prices more: lot size or the number of bedrooms?• How do teenagers and older people differ in the way they use social media?• Who is more likely to use online dating services?• Why do some purchase iPhones and others Blackberry devices?• Does the presence of children influence a family’s spending on alcohol?For each problem, you’ll walk through defining your question and the answers you’ll need; exploring howothers have approached similar challenges; selecting your data and methods; generating your statistics;organizing your report; and telling your story. Throughout, the focus is squarely on what matters most:transforming data into insights that are clear, accurate, and can be acted upon.
Preis: 18.18 € | Versand*: 0 € -
Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners
Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-MakingUsing predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers key data mining processes and methods, relevant data management techniques, tools and metrics, advanced text and web mining, big data integration, and much more. Balancing theory and practice, Delen presents intuitive conceptual illustrations, realistic example problems, and real-world case studiesincluding lessons from failed projects. It's all designed to help you gain a practical understanding you can apply for profit.* Leverage knowledge extracted via data mining to make smarter decisions* Use standardized processes and workflows to make more trustworthy predictions* Predict discrete outcomes (via classification), numeric values (via regression), and changes over time (via time-series forecasting)* Understand predictive algorithms drawn from traditional statistics and advanced machine learning* Discover cutting-edge techniques, and explore advanced applications ranging from sentiment analysis to fraud detection
Preis: 37.44 € | Versand*: 0 €
-
Ist Big Data eine Technologie?
Ist Big Data eine Technologie? Big Data ist eigentlich kein spezifisches Technologieprodukt, sondern vielmehr ein Konzept oder eine Herangehensweise, um große Mengen an Daten zu sammeln, zu speichern, zu analysieren und zu nutzen. Es umfasst verschiedene Technologien und Tools wie Datenbanken, Data Mining, maschinelles Lernen und künstliche Intelligenz, die verwendet werden, um Erkenntnisse aus den Daten zu gewinnen. Daher kann man sagen, dass Big Data eher eine Strategie oder ein Framework ist, das auf verschiedenen Technologien basiert, anstatt eine eigenständige Technologie zu sein. Letztendlich zielt Big Data darauf ab, Unternehmen dabei zu unterstützen, fundierte Entscheidungen auf der Grundlage von Daten zu treffen und Wettbewerbsvorteile zu erlangen.
-
Wie entsteht Big Data?
Big Data entsteht durch die Sammlung und Speicherung einer großen Menge von Daten aus verschiedenen Quellen wie Sensoren, Social Media, Transaktionen und mehr. Diese Daten werden dann mithilfe von speziellen Tools und Technologien analysiert und verarbeitet, um Muster, Trends und Erkenntnisse zu identifizieren. Durch die kontinuierliche Erfassung und Analyse von Daten in Echtzeit können Unternehmen fundierte Entscheidungen treffen und ihre Geschäftsprozesse optimieren. Letztendlich ermöglicht Big Data eine tiefere Einblicke in das Verhalten von Kunden, Trends auf dem Markt und ermöglicht die Entwicklung innovativer Produkte und Dienstleistungen.
-
Welche Nachteile gibt es bei Big Data?
Ein Nachteil von Big Data ist die mögliche Verletzung der Privatsphäre. Durch die Sammlung und Analyse großer Datenmengen können persönliche Informationen offengelegt werden, was zu Missbrauch und Datenschutzverletzungen führen kann. Ein weiterer Nachteil ist die Komplexität der Datenanalyse, da große Datenmengen oft unstrukturiert und heterogen sind, was die Identifizierung von relevanten Informationen erschwert. Zudem besteht die Gefahr von Fehlinterpretationen und falschen Schlussfolgerungen aufgrund von Verzerrungen oder unvollständigen Daten.
-
Wie beeinflusst Big Data die Entscheidungsfindung in Unternehmen? Was sind die potenziellen Auswirkungen von Big Data auf die Privatsphäre der Verbraucher?
Big Data ermöglicht Unternehmen, fundierte Entscheidungen auf Basis großer Datenmengen zu treffen, was zu effizienteren Prozessen und besseren Ergebnissen führen kann. Die Verwendung von Big Data kann jedoch auch die Privatsphäre der Verbraucher gefährden, da persönliche Daten gesammelt, analysiert und möglicherweise missbraucht werden können. Es ist wichtig, dass Unternehmen verantwortungsbewusst mit den Daten umgehen und die Privatsphäre der Verbraucher respektieren.
Ähnliche Suchbegriffe für Big Data Analytics:
-
SQL Mastery for Data Analytics & Reporting John Academy Code
Entdecken Sie die Macht der Daten mit unserem Kurs „SQL Masterclass: SQL für Datenanalyse" . Dieser Kurs richtet sich sowohl an Anfänger als auch an Profis, die SQL für die Datenanalyse verwenden möchten. Erfahren Sie, wie Sie Daten mit SQL effizient strukturieren, verwalten und analysieren. So können Sie datengesteuerte Aufgaben bewältigen und fundierte Entscheidungen treffen. Merkmale: Interaktives Lernen: Nehmen Sie an praktischen SQL-Projekten und -Übungen teil und üben Sie die Manipulati...
Preis: 9.99 € | Versand*: 0.00 EUR € -
Visual Analytics Fundamentals: Creating Compelling Data Narratives with Tableau
Master the Fundamentals of Modern Visual Analytics--and Craft Compelling Visual Narratives in Tableau! Do you need to persuade or inform people? Do you have data? Then you need to master visual analytics and visual storytelling. Today, the #1 tool for telling visual stories with data is Tableau, and demand for Tableau skills is soaring. In Visual Analytics Fundamentals, renowned visual storyteller and analytics professor Lindy Ryan introduces all the fundamental visual analytics knowledge, cognitive and perceptual concepts, and hands-on Tableau techniques you'll need. Ryan puts core analytics and visual concepts upfront, so you'll always know exactly what you're trying to accomplish and can apply this knowledge with any tool. Building on this foundation, she presents classroom-proven guided exercises for translating ideas into reality with Tableau 2022. You'll learn how to organize data and structure analysis with stories in mind, embrace exploration and visual discovery, and articulate your findings with rich data, well-curated visualizations, and skillfully crafted narrative frameworks. Ryan's insider tips take you far beyond the basics--and you'll rely on her expert checklists for years to come. Communicate more powerfully by applying scientific knowledge of the human brain Get started with the Tableau platform and Tableau Desktop 2022 Connect data and quickly prepare it for analysis Ask questions that help you keep data firmly in context Choose the right charts, graphs, and maps for each project--and avoid the wrong ones Craft storyboards that reflect your message and audience Direct attention to what matters most Build data dashboards that guide people towards meaningful outcomes Master advanced visualizations, including timelines, Likert scales, and lollipop charts This book has only one prerequisite: your desire to communicate insights from data in ways that are memorable and actionable. It's for executives and professionals sharing important results, students writing reports or presentations, teachers cultivating data literacy, journalists making sense of complex trends. . . . practically everyone! Don't even have Tableau? Download your free trial of Tableau Desktop and let's get started!
Preis: 38.51 € | Versand*: 0 € -
Data Analytics for IT Networks: Developing Innovative Use Cases
Use data analytics to drive innovation and value throughout your network infrastructureNetwork and IT professionals capture immense amounts of data from their networks. Buried in this data are multiple opportunities to solve and avoid problems, strengthen security, and improve network performance. To achieve these goals, IT networking experts need a solid understanding of data science, and data scientists need a firm grasp of modern networking concepts. Data Analytics for IT Networks fills these knowledge gaps, allowing both groups to drive unprecedented value from telemetry, event analytics, network infrastructure metadata, and other network data sources. Drawing on his pioneering experience applying data science to large-scale Cisco networks, John Garrett introduces the specific data science methodologies and algorithms network and IT professionals need, and helps data scientists understand contemporary network technologies, applications, and data sources.After establishing this shared understanding, Garrett shows how to uncover innovative use cases that integrate data science algorithms with network data. He concludes with several hands-on, Python-based case studies reflecting Cisco Customer Experience (CX) engineers’ supporting its largest customers. These are designed to serve as templates for developing custom solutions ranging from advanced troubleshooting to service assurance.Understand the data analytics landscape and its opportunities in Networking See how elements of an analytics solution come together in the practical use casesExplore and access network data sources, and choose the right data for your problemInnovate more successfully by understanding mental models and cognitive biasesWalk through common analytics use cases from many industries, and adapt them to your environmentUncover new data science use cases for optimizing large networksMaster proven algorithms, models, and methodologies for solving network problemsAdapt use cases built with traditional statistical methodsUse data science to improve network infrastructure analysisAnalyze control and data planes with greater sophisticationFully leverage your existing Cisco tools to collect, analyze, and visualize data
Preis: 43.86 € | Versand*: 0 € -
Network Security with Netflow and IPFIX: Big Data Analytics for Information Security
A comprehensive guide for deploying, configuring, and troubleshooting NetFlow and learning big data analytics technologies for cyber security Today’s world of network security is full of cyber security vulnerabilities, incidents, breaches, and many headaches. Visibility into the network is an indispensable tool for network and security professionals and Cisco NetFlow creates an environment where network administrators and security professionals have the tools to understand who, what, when, where, and how network traffic is flowing. Network Security with NetFlow and IPFIX is a key resource for introducing yourself to and understanding the power behind the Cisco NetFlow solution. Omar Santos, a Cisco Product Security Incident Response Team (PSIRT) technical leader and author of numerous books including the CCNA Security 210-260 Official Cert Guide, details the importance of NetFlow and demonstrates how it can be used by large enterprises and small-to-medium-sized businesses to meet critical network challenges. This book also examines NetFlow’s potential as a powerful network security tool. Network Security with NetFlow and IPFIX explores everything you need to know to fully understand and implement the Cisco Cyber Threat Defense Solution. It also provides detailed configuration and troubleshooting guidance, sample configurations with depth analysis of design scenarios in every chapter, and detailed case studies with real-life scenarios. You can follow Omar on Twitter: @santosomar NetFlow and IPFIX basics Cisco NetFlow versions and features Cisco Flexible NetFlow NetFlow Commercial and Open Source Software Packages Big Data Analytics tools and technologies such as Hadoop, Flume, Kafka, Storm, Hive, HBase, Elasticsearch, Logstash, Kibana (ELK) Additional Telemetry Sources for Big Data Analytics for Cyber Security Understanding big data scalability Big data analytics in the Internet of everything Cisco Cyber Threat Defense and NetFlow Troubleshooting NetFlow Real-world case studies
Preis: 33.16 € | Versand*: 0 €
-
Was sind die potenziellen Auswirkungen von Big Data auf die Gesellschaft und die Privatsphäre?
Big Data kann dazu führen, dass persönliche Informationen leichter zugänglich sind und die Privatsphäre gefährdet ist. Die Gesellschaft könnte von Diskriminierung und Manipulation betroffen sein, da Algorithmen auf Basis von Big Data Entscheidungen treffen. Gleichzeitig können durch Big Data auch positive Auswirkungen wie verbesserte Gesundheitsversorgung und effizientere öffentliche Dienstleistungen entstehen.
-
Wie verändert die Auswertung von Big Data die Art und Weise, wie Organisationen Entscheidungen treffen?
Die Auswertung von Big Data ermöglicht es Organisationen, fundiertere und datenbasierte Entscheidungen zu treffen. Durch die Analyse großer Datenmengen können Trends und Muster identifiziert werden, die zu besseren Entscheidungen führen. Dies kann zu effizienteren Prozessen, höherer Kundenzufriedenheit und letztendlich zu einem Wettbewerbsvorteil führen.
-
Wie können Unternehmen Big Data effektiv nutzen, um ihre Geschäftsstrategien zu verbessern und Wettbewerbsvorteile zu erlangen?
Unternehmen können Big Data effektiv nutzen, indem sie Daten aus verschiedenen Quellen sammeln, analysieren und interpretieren, um fundierte Entscheidungen zu treffen. Durch die Anwendung von Data Mining und Machine Learning können sie Muster und Trends erkennen, um ihre Geschäftsstrategien zu optimieren. Indem sie Big Data nutzen, können Unternehmen ihre Prozesse optimieren, Kosten senken und innovative Produkte und Dienstleistungen entwickeln, um sich von der Konkurrenz abzuheben.
-
Was sind die potenziellen Auswirkungen von Big Data auf die Privatsphäre und die Sicherheit von persönlichen Daten?
Big Data kann dazu führen, dass persönliche Daten leichter missbraucht oder gehackt werden können. Durch die Analyse großer Datenmengen könnten sensible Informationen über Personen preisgegeben werden. Es besteht die Gefahr von Identitätsdiebstahl und unerwünschter Überwachung.
* Alle Preise verstehen sich inklusive der gesetzlichen Mehrwertsteuer und ggf. zuzüglich Versandkosten. Die Angebotsinformationen basieren auf den Angaben des jeweiligen Shops und werden über automatisierte Prozesse aktualisiert. Eine Aktualisierung in Echtzeit findet nicht statt, so dass es im Einzelfall zu Abweichungen kommen kann.