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We live in a data-driven world. Increasingly, the efficient operation of organizations across sectors relies on the effective use of vast amounts of data. Making sense of big data is a combination of organizations having the tools, skills and more importantly, the mindset to see data as the new 'oil' fuelling a company. Unfortunately, the technology has evolved faster than the workforce skills to make sense of it and organizations across sectors must adapt to this new reality or perish.'<p> Andreas Weigend, Ph.D Stanford, Head of the Social Data Lab at Stanford, former Chief Scientist Amazon.com <p> The industry is facing a bold new world with the amazing technological developments of the Cloud and Big Data, and the challenges and the opportunities this presents are unprecedented. The Big Data Complete Certification Kit serves as a complete introductory guide for anyone looking to grasp a better understanding of Big Data concepts and its practical application in any IT environment. <p> The Art of Service's introductory Big Data training and certification helps IT practitioners develop the skills that are crucial as businesses embark on this massive transformation. It provides an industry credential for business analysts, data warehouse experts or any other IT professional to help them transform into the world of Data Science. <p> This training and certification enables you to move both the industry and business forward and quickly take advantage of the benefits that the cloud and Big Data present. <p> Take the next step: Get Certified! <p> The Art of Service IT Service Management programs are the #1 certification programs in the information management industry. Being Proven means investing in yourself and formally validating your knowledge, skills, and expertise by the industry's most comprehensive learning and certification program. The Big Data Complete Certification Kit course prepares you for Big Data Certification. <p> Why register?<p> – Easy and Affordable<p> – Learning about Hadoop and other Big Data technologies has never been more affordable<p> – Latest industry trends explained<p> – Acquire valuable skills and get updated about industry's latest trends right here. Today.<p> – Learn from the Experts. The Art of Service offers education about Big Data and 300 other technologies by the industry's best<p> – Learn at your Own Pace. Find everything right here when you need it and from wherever you are<p>
What will you learn?<p> – What is Big Data?<p> – How to Gain Insights From Big Data<p> – Available Solutions For Big Data<p> – Find out how Unstructured Data Can Deliver Fresh Insights<p> – How to plan for Big Data<p> – Big Data Cloud Analytics<p> – Real-time Big Data<p> – Big Data and Pricing Effectiveness<p> – Transform Big Data Efficiently into knowledge<p> – How to Unlock the value<p> – Unstructured and Structured Data<p> – Turn Big Data Into Business Value<p> <p> Course Outline – The topics covered in this course are:<p> – Big Data Overview<p> – Introduction to Big Data Analytics<p> – Data Storage<p> – Networking Systems<p> – File Systems and Software<p> – Website Systems and Software<p> – Audio and Video Systems<p> <p> Contact Hours:<p> The recommended minimum contact hours to pass the certification test is 18 hours<p> <p> Delivery:<p> The program combines 10 presentations supported by trainer audio. Each module is followed by quizzes and exercises (marking scheme provided) to test your knowledge and competency, and to enhance understanding of the key concepts. A Certificate is awarded to your successful passing of the final exam (80% pass requirement) and completion of the course. This is an eLearning Program. Your access details to the eLearning course are in the book.<p> <p> Program Materials:<p> – Multimedia presentations<p> – Downloadable resources (PDF documents)<p> – End of module review questions to assess your content knowledge

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Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.

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Это аудио – сокращенная версия книги «Просто о больших данных» (Джудит Гурвиц, Алан Ньюджент, Ферн Халпер, Марсия Кауфман). Только самые ценные мысли, идеи, кейсы, примеры. Посты в социальных сетях, данные навигаторов, датчики на производстве, показания приборов – ежедневно мир генерирует колоссальные объемы информации – Big Data, или большие данные. Пока основная часть больших данных никак не монетизирована. Но развитие технологий на стороне предприимчивых. Саммари знакомит со стратегиями и инструментами, которые помогут повернуть бурный поток информации в нужное вашей компании русло и использовать возможности больших данных для повышения эффективности бизнеса. Слушать, чтобы: • Понять ключевые принципы работы с большими данными. • Узнать, как превратить огромные объемы данных в понятную и полезную информацию. • Познакомиться с практическими инструментами работы с большими данными и оценить, как их можно использовать в своем бизнесе. Об авторе Джудит Гурвиц – президент, глава совета директоров и идеолог исследовательской и консалтинговой компании Hurwitz & Associates. Алан Ньюджент – главный консультант Hurwitz & Associates, специалист в области инновационных информационных технологий. Ферн Халпер – доктор наук, научный сотрудник Hurwitz & Associates, директор по исследованиям в области углубленной аналитики Института изучения вопросов хранения данных. Марсия Кауфман – партнер-основатель и главный операционный директор Hurwitz & Associates.

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