Produkt zum Begriff Big-Data-Analytics:
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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: 22.46 € | Versand*: 0 € -
Business Intelligence, Analytics, Data Science, and AI
Analytics and AI for tomorrow's managersBusiness Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager.The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and data for good. Hallmark features of this title: Prepares tomorrow's managers for roles in decision support systems, business intelligence (BI) and analytics, emphasizing methods, software and the role of Artificial Intelligence (AI).Opening vignettes and application cases present BI problems and solutions, apply specific techniques or models, and illustrate how organizations use analytics and AI technology effectively.Real-world cases and examples demonstrate capabilities, costs and justifications of BI.Boxed features call out key technology; color charts, graphs and figures illustrate data and processes.Chapter highlights, key terms, exercises, section review questions and Internet assignments provide hands-on practice.Learn more efficiently with impactful features of our eTextbooksThis product is a Pearson eTextbook. Pearson eTextbooks enable active and effective self-study on any device. They combine the in-depth learning content of our renowned authors with interactive, multimedia learning content. At the same time, various tools offer a wide range of options for consolidating your own knowledge and preparing specifically for lessons, exams and Tests. Pearson eTextbooks thus go far beyond the possibilities of traditional print books or classic eBooks.
Preis: 38.24 € | 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 €
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Wie funktioniert Big Data Analytics?
Wie funktioniert Big Data Analytics? Big Data Analytics beinhaltet die Verarbeitung und Analyse großer Mengen von Daten, um Muster, Trends und Erkenntnisse zu identifizieren. Zunächst werden die Daten gesammelt und gespeichert, dann werden sie mithilfe von speziellen Tools und Algorithmen analysiert. Durch den Einsatz von Data Mining, maschinellem Lernen und künstlicher Intelligenz können Unternehmen wertvolle Einblicke gewinnen und fundierte Entscheidungen treffen. Die Ergebnisse der Analyse können für verschiedene Anwendungen genutzt werden, wie z.B. zur Verbesserung von Produkten und Dienstleistungen, zur Optimierung von Geschäftsprozessen oder zur Vorhersage von zukünftigen Entwicklungen.
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Wie können Big Data Analytics-Technologien im Projektmanagement eingesetzt werden?
Big Data Analytics-Technologien können im Projektmanagement eingesetzt werden, um große Mengen an Daten aus verschiedenen Quellen zu sammeln und zu analysieren. Dies ermöglicht es Projektmanagern, Trends und Muster zu erkennen, Risiken frühzeitig zu identifizieren und fundierte Entscheidungen zu treffen. Darüber hinaus können Big Data Analytics-Technologien auch zur Vorhersage von Projektverzögerungen oder zur Optimierung von Ressourcen eingesetzt werden.
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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.
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Wie funktioniert Big Data?
Wie funktioniert Big Data?
Ähnliche Suchbegriffe für Big-Data-Analytics:
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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: 36.17 € | Versand*: 0 € -
Big Data Demystified
The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.
Preis: 16.04 € | 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 € -
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 €
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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.
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Was ist Big Data?
Big Data bezieht sich auf große Mengen an Daten, die mit hoher Geschwindigkeit und Vielfalt generiert werden. Diese Daten können aus verschiedenen Quellen stammen, wie zum Beispiel sozialen Medien, Sensoren oder Transaktionen. Big Data ermöglicht es Unternehmen, Muster und Trends zu identifizieren, um fundierte Entscheidungen zu treffen und ihre Geschäftsprozesse zu optimieren.
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Wie wichtig ist Big Data?
Wie wichtig ist Big Data? Big Data spielt heutzutage eine entscheidende Rolle in nahezu allen Branchen, da Unternehmen immer mehr Daten sammeln und analysieren, um fundierte Entscheidungen zu treffen. Durch die Analyse großer Datenmengen können Unternehmen wertvolle Einblicke gewinnen, Trends erkennen und ihre Geschäftsstrategien optimieren. Zudem ermöglicht Big Data die Personalisierung von Produkten und Dienstleistungen, um die Bedürfnisse der Kunden besser zu verstehen und zu erfüllen. Insgesamt ist Big Data also von großer Bedeutung für den Erfolg und die Wettbewerbsfähigkeit von Unternehmen in der heutigen digitalen Welt.
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Was ist das Big Data?
Was ist das Big Data? Big Data bezieht sich auf die riesigen Mengen an Daten, die in unserer digitalen Welt generiert werden. Diese Daten stammen aus verschiedenen Quellen wie sozialen Medien, Sensoren, Mobilgeräten und mehr. Big Data zeichnet sich durch die 3Vs aus: Volumen, Vielfalt und Geschwindigkeit. Unternehmen nutzen Big Data, um Muster und Trends zu erkennen, fundierte Entscheidungen zu treffen und ihre Geschäftsprozesse zu optimieren. Es erfordert spezielle Tools und Technologien wie Data Mining, maschinelles Lernen und künstliche Intelligenz, um Big Data effektiv zu verarbeiten und zu analysieren.
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