Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

    The Lean Startup movement is very promising, but for many teams it ends up translating into an important question: ”Yeah, but what to build ?” “In ThoughtWorks, our response has been a process called an inception. We gather together a good sample of the people who will be affected by the product and have an intensive session to set an initial direction, using a series of exercises focusing on collaboration and the capture of broad goals. We don't attempt a detailed specification, as that is exactly the kind of thing that becomes out of date as soon as code hits production. But we do want to understand what kind of outcomes we are hoping for, the features that we think will drive these outcomes, and how to assess the effectiveness of our product. With The Lean Inception, Paulo has captured his experience in running these inceptions over the last decade. In particular it's focused on his work to boil the inception down to its essence, concentrating the activity on a single, if very intensive, week of work. Paulo shares how he makes this work, through writing a product vision, capturing personas, understanding the user journeys, and developing high-level features. The result isn't a detailed plan of work, which we find quickly rots into irrelevance. It is a guiding set of goals to set us off in the right direction. It doesn't plan out a final product, with all the features that our users will need, instead it focuses on an initial product that we can release and learn from - the Minimum Viable Product. “ – Martin Fowler, Chief Cientist at ThoughtWorks

    Introduction to Services Chapter 2. Conceptual Framework for the Book: The Gaps Model of Service Quality PART TWO: FOCUS ON THE CUSTOMER Chapter 3. Consumer Behavior in Services Chapter 4. Customer Expectations in Services Chapter 5.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    The author, Elliot Bogod, is a Founder and Managing Director of Broadway Realty, a real estate brokerage in Manhattan. With over twenty years experience, Elliot has sold over $2 billion in New York real estate. In this book, you will find: • A list of “magic words” often used in real estate investment, with clear and detailed explanations • Methods for evaluating the locations for your investments, using vibrant Manhattan neighborhoods as an example. • Review of different types of residential investments: condominiums, co-ops and townhouses • Detailed advice on investing in various types of commercial real estate: retail locations, offices, restaurants, hotels, garages and others • Multiple strategies, tactics and techniques for building wealth through your investments • Clear and concise information on mortgages, taxes and laws • Methods for achieving success through managing a team of experts working for you

    "Web Analytics 2.0" presents a new framework that will permanently change how you think about analytics. It provides specific recommendations for creating an actionable strategy, applying analytical techniques correctly, solving challenges such as measuring social media and multichannel campaigns, achieving optimal success by leveraging experimentation, and employing tactics for truly listening to your customers. The book will help your organization become more data driven while you become a super analysis ninja Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

    Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves.The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently. Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    

    Try out more than 1,000 commands to find and get software, monitor system health and security, and access network resources. Then, apply the skills you learn from this book to use and administer desktops and servers running Ubuntu, Debian, and KNOPPIX or any other Linux distribution.

    Want to impress your coworkers and write the fastest, most efficient, stable code you ever have? Don't reinvent the wheel. Reuse decades of research into battle-tested, highly optimized, and proven techniques available on any Unix system.This book will teach you what you need to know so that you can write your own servers, debug your entire stack when things go awry, and understand how things are working under the hood.http://www.jstorimer.com/products/wor...

    The author of Scientific Advertising, Claude C. Hopkins, is well known as the father of modern advertising techniques, and this book has been widely used by students of advertising and marketing. This book covers many important aspects of advertising including how advertising laws are established, mail order advertising, headlines, psychology, strategy, budgeting, and more advanced subjects like negative advertising and how to test an advertising campaign.

    Two leaders in the requirements community have teamed up to deliver a contemporary set of practices covering the full range of requirements development and management activities on software projects. Describes practical, effective, field-tested techniques for managing the requirements engineering process from end to end. Provides examples demonstrating how requirements "good practices" can lead to fewer change requests, higher customer satisfaction, and lower development costs. Fully updated with contemporary examples and many new practices and techniques. Describes how to apply effective requirements practices to agile projects and numerous other special project situations. Targeted to business analysts, developers, project managers, and other software project stakeholders who have a general understanding of the software development process. Shares the insights gleaned from the authors' extensive experience delivering hundreds of software-requirements training courses, presentations, and webinars.New chapters are included on specifying data requirements, writing high-quality functional requirements, and requirements reuse. Considerable depth has been added on business requirements, elicitation techniques, and nonfunctional requirements. In addition, new chapters recommend effective requirements practices for various special project situations, including enhancement and replacement, packaged solutions, outsourced, business process automation, analytics and reporting, and embedded and other real-time systems projects.

    The Web is awash in Ruby code that is now virtually impossible to change or extend. This text helps you solve that problem by using powerful real-world object-oriented design techniques, which it thoroughly explains using simple and practical Ruby examples. Sandi Metz has distilled a lifetime of conversations and presentations about object-oriented design into a set of Ruby-focused practices for crafting manageable, extensible, and pleasing code. She shows you how to build new applications that can survive success and repair existing applications that have become impossible to change. Each technique is illustrated with extended examples, all downloadable from the companion Web site, poodr.info. The first title to focus squarely on object-oriented Ruby application design, Practical Object-Oriented Design in Ruby will guide you to superior outcomes, whatever your previous Ruby experience. Novice Ruby programmers will find specific rules to live by; intermediate Ruby programmers will find valuable principles they can flexibly interpret and apply; and advanced Ruby programmers will find a common language they can use to lead development and guide their colleagues. This guide will help you Understand how object-oriented programming can help you craft Ruby code that is easier to maintain and upgrade Decide what belongs in a single Ruby class Avoid entangling objects that should be kept separate Define flexible interfaces among objects Reduce programming overhead costs with duck typing Successfully apply inheritance Build objects via composition Design cost-effective tests Solve common problems associated with poorly designed Ruby code

    Please find the Paperback or Kindle-compatible Ebook at stackingthebricks.com/tinymba/You don't need an MBA or fancy investors to succeed in business. Use the 100 ideas in this tiny book to evaluate your current situation: your advantages, your relationships, your potential choices, and the most likely outcomes.BONUS! If you enjoy The Tiny MBA and want to go deeper on the topics lessons and themes in the book, check out the Tiny MBA Podcast Tour with the author! In each episode, Alex visits with the host of a different podcast or livestream to dig deeper into that hosts favorite pages of the book, and explore specific examples or stories rooted in these lessons.Check it out now at stackingthebricks.com/podcast/ and subscribe to get new episodes every week.