The basic idea of the real-time enterprise is to become quicker. A business which wants to become a real-time enterprise has to acquire three main abilities: - Internal and external data is integrated quickly and in real time in a well-organized company data pool, - Analyses of information in the company data pool can be obtained in real time, across function boundaries and at the touch of a button, - The number of working steps performed in batch mode is shifting dramatically in favor of immediate completion in real time. The issue of communications - or real-time communications - plays a special role here. Studies have shown that processing times sometimes double when necessary communication events are handled in batch mode in the business process and not in real time. In other words, when an activity cannot be completed and lies around for days because an urgently needed partner cannot be contacted. The necessity of acquiring these three abilities has implications for the process-related, technical and organizational aspects of a business that are dealt with in detail in this book.
Launch effective real-time communications to win in today's always-on world Gone are the days when you could plan out your marketing and public relations programs well in advance and release them on your timetable. "Real time" means news breaks over minutes, not days. It means companies develop (or refine) products or services instantly, based on feedback from customers or events in the marketplace. And it's when businesses see an opportunity and are the first to act on it. In this eye-opening follow-up to The New Rules of Marketing and PR, a BusinessWeek bestseller, David Meerman Scott reveals the proven, practical steps to take your business into the real-time era. Find out how to act and react flexibly as events occur, position your brand in the always-on world of the Web, and avoid embarrassing mistakes and missteps. Real-Time Marketing and PR will also enable you to: Develop a business culture that encourages speed over sloth Read buying signals as people interact with your online information Crowdsource product development, naming, and even marketing materials such as online videos Engage reporters to shape stories as they are being written Command premium prices by delivering products at speed Deploy technology to listen in on millions of online discussions and instantly engage with customers and buyers Scale and media buying power are no longer a decisive advantage. What counts today is speed and agility. While your competitors scramble to adjust, you can seize the initiative, open new channels, and grow your brand. Master Real-Time Marketing and PR today and become the first to act, the first to respond, and the first to win!
A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book Learn about the various challenges in real-time data processing and use the right tools to overcome them This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time Who This Book Is For If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great. What You Will Learn Get an introduction to the established real-time stack Understand the key integration of all the components Get a thorough understanding of the basic building blocks for real-time solution designing Garnish the search and visualization aspects for your real-time solution Get conceptually and practically acquainted with real-time analytics Be well equipped to apply the knowledge and create your own solutions In Detail With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you'll be equipped with a clear understanding of how to solve challenges on your own. We'll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You'll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case. By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner. Style and Approach In this practical guide to real-time analytics, each chapter begins with a basic high-level concept of the topic, followed by a practical, hands-on implementation of each concept, where you can see the working and execution of it. The book is written in a DIY style, with plenty of practical use cases, well-explained code examples, and relevant screenshots and diagrams.
The presence and use of real-time systems is becoming increasingly common. Examples of such systems range from nuclear reactors, to automotive controllers, and also entertainment software such as games and graphics animation. The growing importance of rea.
Mohan and Oliver have been very fortunate to have intimate views into the data challenges that face the largest organizations and institutions across every possible industry—and what they have been hearing about for some time is how the business needs to use data and analytics to their advantage. They continually hear the same issues, such as: We're spending valuable meeting time wondering why everyone's data doesn't match up. We can't leverage our economies of scale while remaining agile with data. We need self-serve apps that let the enterprise experiment with data and accelerate the development process. We need to get on a more predictive curve to ensure long-term success. To really address the data concerns of today's enterprise, they wanted to find a way to help enterprises achieve the success they seek. Not as a prescriptive process—but a methodology to become agile and leverage data and analytics to drive a competitive advantage. You know, it's amazing what can happen when two people with very different perspectives get together to solve a big problem. This evolutionary guide resulted from the a-ha moment between these two influencers at the top of their fields—one, an academic researcher and consultant, and the other, a longtime analytics practitioner and chief product officer at Teradata. Together, they created a powerful framework every type of business can use to connect analytic power, business practices, and human dynamics in ways that can transform what is currently possible.
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
Overviews enterprise system (ES) opportunities and challenges and suggests the ESs are not the right choice for every company. Provides a set of guidelines to help managers evaluate the benefits and risks of ES implementation, stressing that an organization must make simultaneous changes in its information systems, business processes, and business strategy. Such changes are described in detail with extensive examples from real organizations, demonstrating that ESs should be viewed as business rather than technology projects. Davenport is director of a consulting institute and professor of information management at Boston University. Annotation copyrighted by Book News, Inc., Portland, OR
The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.
Updated for the coming academic year, this manual presents profiles of nearly 640 graduate business schools across the United States, plus leading business schools in Canada. Details are provided on admission requirements, academic programs, fields of specialization, tuition and fees, career placement services, and other specifics that applicants to business schools need to know. Additional features include advice on choosing the school that best fits the business student's circumstances and career goals. The book also includes useful information about taking the Graduate Management Admission Test (GMAT) and a sample GMAT exam with explained answers.
