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| informatica privitar: Modern Data Architecture on AWS Behram Irani, 2023-08-31 Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services Key Features Learn to build modern data platforms on AWS using data lakes and purpose-built data services Uncover methods of applying security and governance across your data platform built on AWS Find out how to operationalize and optimize your data platform on AWS Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learn Familiarize yourself with the building blocks of modern data architecture on AWS Discover how to create an end-to-end data platform on AWS Design data architectures for your own use cases using AWS services Ingest data from disparate sources into target data stores on AWS Build data pipelines, data sharing mechanisms, and data consumption patterns using AWS services Find out how to implement data governance using AWS services Who this book is for This book is for data architects, data engineers, and professionals creating data platforms. The book's use case–driven approach helps you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. It's beneficial for technical leaders and decision makers to understand their organization's data architecture and how each platform component serves business needs. A basic understanding of data & analytics architectures and systems is desirable along with beginner’s level understanding of AWS Cloud. |
| informatica privitar: The Enterprise Big Data Lake Alex Gorelik, 2019-02-21 The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries |
| informatica privitar: Data Management at Scale Piethein Strengholt, 2020-07-29 As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata |
| informatica privitar: Controlling Privacy and the Use of Data Assets - Volume 2 Ulf Mattsson, 2023-08-24 The book will review how new and old privacy-preserving techniques can provide practical protection for data in transit, use, and rest. We will position techniques like Data Integrity and Ledger and will provide practical lessons in Data Integrity, Trust, and data’s business utility. Based on a good understanding of new and old technologies, emerging trends, and a broad experience from many projects in this domain, this book will provide a unique context about the WHY (requirements and drivers), WHAT (what to do), and HOW (how to implement), as well as reviewing the current state and major forces representing challenges or driving change, what you should be trying to achieve and how you can do it, including discussions of different options. We will also discuss WHERE (in systems) and WHEN (roadmap). Unlike other general or academic texts, this book is being written to offer practical general advice, outline actionable strategies, and include templates for immediate use. It contains diagrams needed to describe the topics and Use Cases and presents current real-world issues and technological mitigation strategies. The inclusion of the risks to both owners and custodians provides a strong case for why people should care. This book reflects the perspective of a Chief Technology Officer (CTO) and Chief Security Strategist (CSS). The Author has worked in and with startups and some of the largest organizations in the world, and this book is intended for board members, senior decision-makers, and global government policy officials—CISOs, CSOs, CPOs, CTOs, auditors, consultants, investors, and other people interested in data privacy and security. The Author also embeds a business perspective, answering the question of why this an important topic for the board, audit committee, and senior management regarding achieving business objectives, strategies, and goals and applying the risk appetite and tolerance. The focus is on Technical Visionary Leaders, including CTO, Chief Data Officer, Chief Privacy Officer, EVP/SVP/VP of Technology, Analytics, Data Architect, Chief Information Officer, EVP/SVP/VP of I.T., Chief Information Security Officer (CISO), Chief Risk Officer, Chief Compliance Officer, Chief Security Officer (CSO), EVP/SVP/VP of Security, Risk Compliance, and Governance. It can also be interesting reading for privacy regulators, especially those in developed nations with specialist privacy oversight agencies (government departments) across their jurisdictions (e.g., federal and state levels). |
| informatica privitar: Sustainable Development, Humanities, and Social Sciences for Society 5.0 Wongmahesak, Kittisak, Wekke, Ismail Suardi, Suanpang, Pannee, 2024-10-11 In a world where business is increasingly influenced by rapid technological advancements and shifting societal norms, the definition of success has undergone a fundamental transformation. Profitability, once the sole measure of achievement, now shares the stage with sustainability as a critical component of business performance. As we transition into Society 5.0—a hyper-connected era where technology and human values converge—redefining success to include sustainability becomes not just desirable but essential. Sustainable Development, Humanities, and Social Sciences for Society 5.0 explores this paradigm shift, presenting a forward-thinking perspective on the intersection of technological innovation and sustainable business practices. This comprehensive volume bridges the gap between emerging technologies and the imperative for businesses to thrive in a way that benefits society and the environment. Through a curated collection of insights, strategies, and case studies, the book offers a valuable resource for understanding how to achieve continuous good performance while making a positive impact in the age of Society 5.0. |
| informatica privitar: Practical DataOps Harvinder Atwal, 2019-12-10 Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making. Practical DataOps shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output. The book provides an approach to eliminate wasted effort and improve collaboration between data producers, data consumers, and the rest of the organization through the adoption of lean thinking and agile software development principles. This book helps you to improve the speed and accuracy of analytical application development through data management and DevOps practices that securely expand data access, and rapidly increase the number of reproducible data products through automation, testing, and integration. The book also shows how to collect feedback and monitor performance to manage and continuously improve your processes and output. What You Will Learn Develop a data strategy for your organization to help it reach its long-term goals Recognize and eliminate barriers to delivering data to users at scale Work on the right things for the right stakeholders through agile collaboration Create trust in data via rigorous testing and effective data management Build a culture of learning and continuous improvement through monitoring deployments and measuring outcomes Create cross-functional self-organizing teams focused on goals not reporting lines Build robust, trustworthy, data pipelines in support of AI, machine learning, and other analytical data products Who This Book Is For Data science and advanced analytics experts, CIOs, CDOs (chief data officers), chief analytics officers, business analysts, business team leaders, and IT professionals (data engineers, developers, architects, and DBAs) supporting data teams who want to dramatically increase the value their organization derives from data. The book is ideal for data professionals who want to overcome challenges of long delivery time, poor data quality, high maintenance costs, and scaling difficulties in getting data science output and machine learning into customer-facing production. |
| informatica privitar: Масштабируемые данные. Лучшие шаблоны высоконагруженных архитектур Питхейн Стренгхольт, 2023-11-13 Методы управления данными и их интеграции быстро развиваются, хранение данных в одном месте становится все сложнее и сложнее масштабировать. Пора разобраться с тем, как перевести сложный и тесно переплетенный ландшафт данных вашего предприятия на более гибкую архитектуру, готовую к современным задачам. Архитекторы и аналитики данных, специалисты по соблюдению требований и управлению узнают, как работать с масштабируемой архитектурой и внедрять ее без больших предварительных затрат. Питхейн Стренгхольт поделится с вами идеями, принципами, наблюдениями, передовым опытом и шаблонами. |
| informatica privitar: Service-Oriented Design with Ruby and Rails Paul Dix, 2010-08-17 The Complete Guide to Building Highly Scalable, Services-Based Rails Applications Ruby on Rails deployments are growing, and Rails is increasingly being adopted in larger environments. Today, Rails developers and architects need better ways to interface with legacy systems, move into the cloud, and scale to handle higher volumes and greater complexity. In Service-Oriented Design with Ruby and Rails, Paul Dix introduces a powerful, services-based design approach geared toward overcoming all these challenges. Using Dix’s techniques, readers can leverage the full benefits of both Ruby and Rails, while overcoming the difficulties of working with larger codebases and teams. Dix demonstrates how to integrate multiple components within an enterprise application stack; create services that can easily grow and connect; and design systems that are easier to maintain and upgrade. Key concepts are explained with detailed Ruby code that was built using open source libraries such as ActiveRecord, Sinatra, Nokogiri, and Typhoeus. The book concludes with coverage of security, scaling, messaging, and interfacing with third-party services. Service-Oriented Design with Ruby and Rails will help you Build highly scalable, Ruby-based service architectures that operate smoothly in the cloud or with legacy systems Scale Rails systems to handle more requests, larger development teams, and more complex code bases Master new best practices for designing and creating services in Ruby Use Ruby to glue together services written in any language Use Ruby libraries to build and consume RESTful web services Use Ruby JSON parsers to quickly represent resources from HTTP services Write lightweight, well-designed API wrappers around internal or external services Discover powerful non-Rails frameworks that simplify Ruby service implementation Implement standards-based enterprise messaging with Advanced Message Queuing Protocol (AMQP) Optimize performance with load balancing and caching Provide for security and authentication |
| informatica privitar: INTELIGENCIA ARTIFICIAL PARA EL MARKETING Eduardo Liberos Hoppe, Silvia Ahumada Luyando, Miranda Sánchez Ahumada, 2024-01-15 El libro Inteligencia artificial para el marketing está dirigido a directivos de marketing, grandes corporaciones y gerentes de pymes y universitarios de los últimos años en las carreras de Administración y Dirección de Empresas, Marketing y Gestión Comercial. ¿Cómo aplicar IA en marketing? El lector aprenderá cómo se crea una IA, qué técnicas podemos utilizar en marketing y las herramientas y plataformas que mejor funcionan en marketing. Los autores han trabajado con 476 plataformas de IA, y en el libro se explican los mejores usos para las disciplinas del marketing: segmentación, investigación de mercados, posicionamiento, marketing de producto, política de precios, distribución, marketing de guerrillas, marketing digital, comercio electrónico, entre otras. El libro se divide en 7 capítulos, donde se tratan de una manera profunda todas las herramientas y técnicas que un directivo puede utilizar para poner en marcha un programa de IA en el área de marketing. También se enseña el funcionamiento de las nuevas plataformas y soluciones de IA en marketing, Los autores son profesionales de reconocido prestigio que han desarrollado sus carreras profesionales en grandes corporaciones españolas y americanas. Han sido galardonados con algunos de los premios más prestigiosos en el mundo de la comunicación y son profesores invitados de algunas de las mejores escuelas de negocios y universidades de España y Latinoamérica como ESIC, IE, IEDGE, IEB, EADA, INESDI, CESMA o la Universidad Panamericana. También son speakers habituales en congresos especializados del sector de la publicidad y universidades como la Universidad Complutense, Universidad Iberoamericana, ITESO o TEC-Monterrey. Índice Prólogos.- Introducción a la inteligencia artificial aplicada al marketing.- Análisis de datos.- Machine learning.- Usos de la inteligencia artificial en marketing.- Técnicas de inteligencia artificial para el marketing.- Prompts para chatbots.- Plataformas de la IA en marketing. Bibliografía. |
| informatica privitar: The Enterprise Data Catalog: Improve Data Discovery, Ensure Data Governance, and Enable Innovation Ole Olesen-Bagneux, 2023-05-30 How do you search for data? Combing the internet is simple. But do you search for data at work? It can be difficult and time-consuming. Sometimes it even seems impossible. This book introduces a practical solution: the data catalog. Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux, PhD, explains the benefits of implementing a data catalog. You'll learn how to organize the data for your catalog, search for the data you need, and manage the data once it's in the catalog. This book is written from a data management perspective but also from a library and information science perspective. Learn what a data catalog is and how it can help your organization search for data Organize data in a catalog, including its sources, where it belongs, and how to describe it with metadata Manage your data catalog, create access to data sources, and browse relational graph structures across systems and domains Learn how to search your data, including its sources, and how it travels and changes in data lineage Implement a data catalog in a way that exactly matches the strategic priorities of your organization |
| informatica privitar: Guide to the De-Identification of Personal Health Information Khaled El Emam, 2013-05-06 Offering compelling practical and legal reasons why de-identification should be one of the main approaches to protecting patients' privacy, the Guide to the De-Identification of Personal Health Information outlines a proven, risk-based methodology for the de-identification of sensitive health information. It situates and contextualizes this risk-ba |
| informatica privitar: Simplify, Automate, Liberate Yong Gerald, 2011-08 If you ever thought scripting is hard, this book will change your mind. This book is a collection of helpful tips that show you how to be effective in scripting - to Simplify the way you perform your daily tasks, Automate those tasks if possible, and Liberate you so that you can perform other high value work! Whether you are an intermediate system administrator or you are just starting off in scripting, you will find real-world practical examples in this book to help you understand scripting concepts, and enable you to effectively deploy the scripts to your environment, or write your own to suit your needs. |
| informatica privitar: Age of Vice Deepti Kapoor, 2023-01-03 AN INSTANT NEW YORK TIMES BESTSELLER 'Ill-fated love and toxic family power struggles provide emotional drive for this big dynastic saga' JAKE ARNOTT, GUARDIAN 'Huge, epic, immersive and absorbing . . . certain to be a book of the year' LEE CHILD, NEW YORK TIMES BESTSELLING AUTHOR This is the age of vice, where pleasure and power are everything, and the family ties that bind can also kill New Delhi, 3 a.m. A speeding Mercedes jumps the kerb, and in the blink of an eye five people are dead. It's a rich man's car, but when the dust settles there is no rich man at all, just a shell-shocked servant who cannot explain the strange series of events that led to this crime. Nor can he foresee the dark drama that is about to unfold. Deftly shifting through time and perspective in contemporary India, Age of Vice is an epic, action-packed story propelled by the seductive wealth, startling corruption, and bloodthirsty violence of the Wadia family-loved by some, loathed by others, feared by all. In the shadow of lavish estates, extravagant parties, predatory business deals, and calculated political influence, three lives become dangerously intertwined: Ajay is the watchful servant, born into poverty, who rises through the family's ranks. Sunny is the playboy heir who dreams of outshining his father, whatever the cost. And Neda is the curious journalist caught between morality and desire. Against a sweeping plot fueled by loss, pleasure, greed, yearning, violence, and revenge, will these characters' connections become a path to escape, or a trigger of further destruction? Equal parts crime thriller and family saga, transporting readers from the dusty villages of Uttar Pradesh to the urban energy of New Delhi, Age of Vice is an intoxicating novel of gangsters and lovers, false friendships, forbidden romance, and the consequences of corruption. It is binge-worthy entertainment at its literary best. |
| informatica privitar: The Enterprise Big Data Lake Alex Gorelik, 2019-02-21 The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries |
| informatica privitar: Cyberjutsu Ben McCarty, 2021-04-26 Like Sun Tzu's Art of War for Modern Business, this book uses ancient ninja scrolls as the foundation for teaching readers about cyber-warfare, espionage and security. Cyberjutsu is a practical cybersecurity field guide based on the techniques, tactics, and procedures of the ancient ninja. Cyber warfare specialist Ben McCarty’s analysis of declassified Japanese scrolls will show how you can apply ninja methods to combat today’s security challenges like information warfare, deceptive infiltration, espionage, and zero-day attacks. Learn how to use key ninja techniques to find gaps in a target’s defense, strike where the enemy is negligent, master the art of invisibility, and more. McCarty outlines specific, in-depth security mitigations such as fending off social engineering attacks by being present with “the correct mind,” mapping your network like an adversary to prevent breaches, and leveraging ninja-like traps to protect your systems. You’ll also learn how to: Use threat modeling to reveal network vulnerabilities Identify insider threats in your organization Deploy countermeasures like network sensors, time-based controls, air gaps, and authentication protocols Guard against malware command and-control servers Detect attackers, prevent supply-chain attacks, and counter zero-day exploits Cyberjutsu is the playbook that every modern cybersecurity professional needs to channel their inner ninja. Turn to the old ways to combat the latest cyber threats and stay one step ahead of your adversaries. |
| informatica privitar: Cassandra: The Definitive Guide Jeff Carpenter, Eben Hewitt, 2016-06-29 Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene |
| informatica privitar: NISTIR 8053 De-Identification of Personal Information National Institute National Institute of Standards and Technology, 2015-10-30 NISTIR 8053 October 2015 De-identification removes identifying information from a dataset so that individual data cannot be linked with specific individuals. De-identification can reduce the privacy risk associated with collecting, processing, archiving, distributing or publishing information. De-identification thus attempts to balance the contradictory goals of using and sharing personal information while protecting privacy. Several U.S laws, regulations and policies specify that data should be de-identified prior to sharing. In recent years researchers have shown that some de-identified data can sometimes be re-identified. Many different kinds of information can be de-identified, including structured information, free format text, multimedia, and medical imagery. This document summarizes roughly two decades of de-identification research, discusses current practices, and presents opportunities for future research. Why buy a book you can download for free? First you gotta find it and make sure it's the latest version (not always easy). Then you gotta print it using a network printer you share with 100 other people - and its outta paper - and the toner is low (take out the toner cartridge, shake it, then put it back). If it's just 10 pages, no problem, but if it's a 250-page book, you will need to punch 3 holes in all those pages and put it in a 3-ring binder. Takes at least an hour. An engineer that's paid $75 an hour has to do this himself (who has assistant's anymore?). If you are paid more than $10 an hour and use an ink jet printer, buying this book will save you money. It's much more cost-effective to just order the latest version from Amazon.com This book is published by 4th Watch Books and includes copyright material. We publish compact, tightly-bound, full-size books (8 � by 11 inches), with glossy covers. 4th Watch Books is a Service Disabled Veteran-Owned Small Business (SDVOSB), and is not affiliated with the National Institute of Standards and Technology. For more titles published by 4th Watch Books, please visit: cybah.webplus.net NIST SP 500-299 NIST Cloud Computing Security Reference Architecture NIST SP 500-291 NIST Cloud Computing Standards Roadmap Version 2 NIST SP 500-293 US Government Cloud Computing Technology Roadmap Volume 1 & 2 NIST SP 500-293 US Government Cloud Computing Technology Roadmap Volume 3 DRAFT NIST SP 1800-8 Securing Wireless Infusion Pumps NISTIR 7497 Security Architecture Design Process for Health Information Exchanges (HIEs) NIST SP 800-66 Implementing the Health Insurance Portability and Accountability Act (HIPAA) Security Rule NIST SP 1800-1 Securing Electronic Health Records on Mobile Devices NIST SP 800-177 Trustworthy Email NIST SP 800-184 Guide for Cybersecurity Event Recovery NIST SP 800-190 Application Container Security Guide NIST SP 800-193 Platform Firmware Resiliency Guidelines NIST SP 1800-1 Securing Electronic Health Records on Mobile Devices NIST SP 1800-2 Identity and Access Management for Electric Utilities NIST SP 1800-5 IT Asset Management: Financial Services NIST SP 1800-6 Domain Name Systems-Based Electronic Mail Security NIST SP 1800-7 Situational Awareness for Electric Utilities |
| informatica privitar: R for Political Data Science Francisco Urdinez, Andres Cruz, 2020-11-17 R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions. |
| informatica privitar: Practical Natural Language Processing with Python Mathangi Sri, 2020-12-01 Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a deeper dive on code and output in Python. Practical Natural Language Processing with Python follows a case study-based approach. Each chapter is devoted to an industry or a use case, where you address the real business problems in that industry and the various ways to solve them. You start with various types of text data before focusing on the customer service industry, the type of data available in that domain, and the common NLP problems encountered. Here you cover the bag-of-words model supervised learning technique as you try to solve the case studies. Similar depth is given to other use cases such as online reviews, bots, finance, and so on. As you cover the problems in these industries you’ll also cover sentiment analysis, named entity recognition, word2vec, word similarities, topic modeling, deep learning, and sequence to sequence modelling. By the end of the book, you will be able to handle all types of NLP problems independently. You will also be able to think in different ways to solve language problems. Code and techniques for all the problems are provided in the book. What You Will Learn Build an understanding of NLP problems in industry Gain the know-how to solve a typical NLP problem using language-based models and machine learning Discover the best methods to solve a business problem using NLP - the tried and tested ones Understand the business problems that are tough to solve Who This Book Is For Analytics and data science professionals who want to kick start NLP, and NLP professionals who want to get new ideas to solve the problems at hand. |
| informatica privitar: Cyber Influence and Cognitive Threats Vladlena Benson, John McAlaney, 2019-09-27 In the wake of fresh allegations that personal data of Facebook users have been illegally used to influence the outcome of the US general election and the Brexit vote, the debate over manipulation of social Big Data continues to gain more momentum. Cyber Influence and Cognitive Threats addresses various emerging challenges in response to cybersecurity, examining cognitive applications in decision-making, behaviour and basic human interaction. The book examines the role of psychology in cybersecurity by addressing each factor involved in the process: hackers, targets, cybersecurity practitioners, and the wider social context in which these groups operate. Cyber Influence and Cognitive Threats covers a variety of topics including information systems, psychology, sociology, human resources, leadership, strategy, innovation, law, finance and others. - Explains psychological factors inherent in machine learning and artificial intelligence - Explores attitudes towards data and privacy through the phenomena of digital hoarding and protection motivation theory - Discusses the role of social and communal factors in cybersecurity behaviour and attitudes - Investigates the factors that determine the spread and impact of information and disinformation |
| informatica privitar: Learn Informatica in 1 Day Krishna Rungta, 2017-08-04 This is a practical step by step hand-on guide to learn and master Informatica. Informatica is widely used ETL tool and provided end to end data integration and management solution. This book introduces Informatica in detail. It provides a detailed step by step installation tutorial of Informatica. It teaches various activities like data cleansing, data profiling, transforming and scheduling the workflows from source to target in simple steps, etc. Here is what you will learn - Chapter 1: Introduction to Informatica Chapter 2: Informatica Architecture Tutorial Chapter 3: How to Download & Install Informatica PowerCenter Chapter 4: How to Configure Client and Repository in Informatica Chapter 5: Source Analyzer and Target Designer in Informatica Chapter 6: Mappings in Informatica: Create, Components, Parameter, Variable Chapter 7: Workflow in Informatica: Create, Task, Parameter, Reusable, Manager Chapter 8: Workflow Monitor in Informatica: Task & Gantt Chart View Examples Chapter 9: Debugger in Informatica: Session, Breakpoint, Verbose Data & Mapping Chapter 10: Session Properties in Informatica Chapter 11: Introduction to Transformations in Informatica and Filter Transformation Chapter 12: Source Qualifier Transformation in Informatica with EXAMPLE Chapter 13: Aggregator Transformation in Informatica with Example Chapter 14: Router Transformation in Informatica with EXAMPLE Chapter 15: Joiner Transformation in Informatica with EXAMPLE Chapter 16: Rank Transformation in Informatica with EXAMPLE Chapter 17: Sequence Transformation in Informatica with EXAMPLE Chapter 18: Transaction Control Transformation in Informatica with EXAMPLE Chapter 19: Lookup Transformation in Informatica & Re-usable Transformation Example Chapter 20: Normalizer Transformation in Informatica with EXAMPLE Chapter 21: Performance Tuning in Informatica ★★★Download Today ~ Free to Read for Kindle Unlimited Subscribers!★★★ |
| informatica privitar: Data Divination Pam Baker, Bob Gourley, 2014-08-28 Our world is being transformed by big data. The growth of the Internet and the rapid expansion of mobile communications and related technologies have created a massive - flow of data--both structured and unstructured. The availability and use of that data has enormous implications for businesses and for the wider society. Used effectively, big data can drive businesses in the direction of more accurate analyses of vital information, leading ultimately to greater operational efficiencies, cost reductions, reduced risk, speedier innovations, and increased and new revenue. In this book, you'll find detailed instruction in big data strategy development and implementation, supported by numerous real-world business cases in ten distinct industries. You will learn what big data is and how to wield it--from calculating ROI and making a business case to developing overall and project-specific strategies that actually work. Each chapter answers key questions and will give you the skills you need to make your big data projects succeed. Put big data to work for you and your company today, with DATA DIVINATION: BIG DATA STRATEGIES. |
| informatica privitar: Practical Fairness Aileen Nielsen, 2020-12-01 Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, and ethical aspects of making your code fair and secure while highlighting cutting edge academic research and ongoing legal developments related to fairness and algorithms. There is mounting evidence that the widespread deployment of machine learning and artificial intelligence in business and government is reproducing the same biases we are trying to fight in the real world. For this reason, fairness is an increasingly important consideration for the data scientist. Yet discussions of what fairness means in terms of actual code are few and far between. This code will show you how to code fairly as well as cover basic concerns related to data security and privacy from a fairness perspective. |
| informatica privitar: Learn Informatica in 24 Hours Alex Nordeen, 2020-10-31 This is a practical step by step hand-on guide to learn and master Informatica. Informatica is widely used ETL tool and provided end to end data integration and management solution. This book introduces Informatica in detail. It provides a detailed step by step installation tutorial of Informatica. It teaches various activities like data cleansing, data profiling, transforming and scheduling the workflows from source to target in simple steps, etc. Here is what you will learn – Chapter 1: Introduction to Informatica Chapter 2: Informatica Architecture Tutorial Chapter 3: How to Download & Install Informatica PowerCenter Chapter 4: How to Configure Client and Repository in Informatica Chapter 5: Source Analyzer and Target Designer in Informatica Chapter 6: Mappings in Informatica: Create, Components, Parameter, Variable Chapter 7: Workflow in Informatica: Create, Task, Parameter, Reusable, Manager Chapter 8: Workflow Monitor in Informatica: Task & Gantt Chart View Examples Chapter 9: Debugger in Informatica: Session, Breakpoint, Verbose Data & Mapping Chapter 10: Session Properties in Informatica Chapter 11: Introduction to Transformations in Informatica and Filter Transformation Chapter 12: Source Qualifier Transformation in Informatica with EXAMPLE Chapter 13: Aggregator Transformation in Informatica with Example Chapter 14: Router Transformation in Informatica with EXAMPLE Chapter 15: Joiner Transformation in Informatica with EXAMPLE Chapter 16: Rank Transformation in Informatica with EXAMPLE Chapter 17: Sequence Transformation in Informatica with EXAMPLE Chapter 18: Transaction Control Transformation in Informatica with EXAMPLE Chapter 19: Lookup Transformation in Informatica & Re-usable Transformation Example Chapter 20: Normalizer Transformation in Informatica with EXAMPLE Chapter 21: Performance Tuning in Informatica ★★★Download Today ~ Free to Read for Kindle Unlimited Subscribers!★★★ |
| informatica privitar: Expert helpers to data-based information systems Antonio L. Furtado, Claudio M. O. Moura, 1984 |
| informatica privitar: Introducción a la informática Jorge Rodríguez Vega, 1997 |
| informatica privitar: Informática básica Francisco Javier Martín Martínez, 2006 Addressing the mechanics of computers, construction and parts, operating systems, networks, and the development of computer applications, this text offers an overview of computer science. Many practical exercises and examples are provided and the accompanying CD contains a glossary, notes, utilities, and software tools. |
| informatica privitar: Informatica A Complete Guide - 2020 Edition Gerardus Blokdyk, 2019 Informatica A Complete Guide - 2020 Edition. |
| informatica privitar: Informatica , |
| informatica privitar: Introduccion a la Informatica Tomas Duffy, 199? |
| informatica privitar: Introducción a la informática José Luis Mora Castro, José Luis Mora, Enzo Molino, 1976 |
| informatica privitar: Tecnología informática Ramón Gonzalo, 2002 |
| informatica privitar: Excerpta Informatica , 1991 |
| informatica privitar: Cibernetica, Informatica Y Derecho , 1976 |
| informatica privitar: Informatica Basica Carlos Eduardo N. Bizzotto, 1998 |
| informatica privitar: Informática: Terminologia básica Mário Gomes da Silva, 2009-07-30 Aprender de forma rápida e descomplicada a utilizar o computador é o objetivo do livro. Ele explica o significado dos termos mais utilizados em computação, os componentes de um computador, os periféricos, redes e Internet. Traz uma abordagem prática sobre o Windows XP, conceitos, manipulação de pastas, arquivos, janelas e utilização da Internet.Ensina, em poucos passos, a utilizar os principais recursos das ferramentas do Microsoft Office 2003, desde criar textos, tabelas, objetos gráficos, manipulação de planilhas, formatação, fórmulas e cálculos, terminologia de banco de dados, consultas, formulários, relatórios, apresentações, slides e efeitos especiais. |
| informatica privitar: Informática Na Empresa (5a. Ed.). Aldemar de Araújo Santos, 2000 |
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Informatica by default uses cookies to enhance your user experience, improve the quality of our website, and deliver advertising and other content tailored to your interests. Some jurisdictions’ …
Informatica 10.6
Feb 21, 2025 · It appears that Informatica is focusing on its transition toward cloud-native solutions, such as the Informatica Intelligent Data Management Cloud (IDMC). For the support …
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May 12, 2025 · Master Data Management SaaS provides visibility into all your business-critical data, including customer, product, supplier, and reference data, for a trusted 360 view of your …
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