It has a few disadvantages: Often viewers will record programs purely so they can be viewed without the commercial breaks. This is also done to avoid watching advertisements. Using television advertisements is beneficial due to its wide reach and the degree to which content can be segmented according to the intended target market.
Cambridge University Press — Order on Amazon This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management.
This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more.
Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science.
Fortunately, this is exactly what this book has to offer. It is highly desirable for training the next generation of data management professionals.
The coverage is just right for my course and the level of the material is very appropriate for my students. The book also has clear explanations and good examples.
The accompanying exercises and solutions, cases, Principles of marketing video case chapter, and YouTube lectures turn it into an indispensable resource for anyone teaching an undergraduate or postgraduate course on the topic.
The book offers a fantastically fresh approach to database teaching. The mix of theoretical and practical contents is almost perfect, the content is up-to-date and covers the recent ones, the examples are nice, and the database testbed provides an excellent way of understanding the concepts.
The authors successfully integrate the fields of database technology, operations research and big data analytics, which have often been covered independently in the past.
A key asset is its didactical approach that builds on a rich set of industry examples and exercises. The book is a must-read for all scholars and practitioners interested in database management, big data analytics and its applications.
It reviews a range of databases and their relevance for analytics. The book is useful to practitioners because it contains many case studies, links to open-source software, and a very useful abstraction of analytics that will help them better choose solutions.
It is important to academics because it promotes database principles which are key to successful and sustainable data science.
This easy-to-read, well-organized book provides coverage of a number of important topics and techniques about storing, managing, and analyzing big and small data that are specifically not covered in most database or data analytics books. If you work in the area of scalable data management and analysis, you owe it to yourself to read this book.
To achieve competitive advantage in this new environment, we should be able to collect, manage, and analyze a variety of datasets using database systems. This book, written by database and analytics experts, provides a comprehensive view of database technologies from fundamental principles to cutting-edge applications in business intelligence and big data analytics.
It is a good book with a logical structure to use in an undergraduate database management course. This book provides both a broad and deep introduction to databases. It covers the different types of database systems from relational to noSQL and manages to bridge the gap between data modeling and the underlying basic principles.
The book is highly recommended for anyone that wants to understand how modern information systems deal with ever-growing volumes of data.
Written in a well-illustrated style, this comprehensive book covers essential topics in established data management technologies and recent discoveries in data science. Now, this need is covered by this fresh book by Lemahieu, van den Broucke and Baesens. It spans from traditional topics — such as the Relational model and SQL — to more recent topics — such as Distributed computing with Hadoop and Spark as well as Data Analytics.
The book can be used as an introductory text and for graduate courses. It not only gives very solid discussions of traditional topics like data modeling and relational databases but also contains refreshing contents on frontier topics such as XML databases, NoSQL databases, big data, and analytics.
For those reasons, this will be a good book for database professionals who will keep using it for all stages of database studies and works. Both are essential for data professionals today.
This book is a timely guide for anyone interested in getting up to speed with the state of the art in database systems, big data technologies, and data science. It is full of insightful examples and case studies with direct industrial relevance.
It is impressive to see how the authors can balance the contents of database management from a combined perspective of classics and mainstreams, in a forward-looking fashion. The emphasis on big and small data is of great value in addressing various issues of data-centric business, where size, accessibility, analytics and governance matter differently in different contexts.Recent Questions from Principles of Marketing (13th Edition) One way a company can benefit from implementing a market penetration strategy would be to Within the strategic marketing process, the __________ is the result of the planning phase that proceeds to the implementation phase where it is carried out.
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