Quite the contrary; mistakes are easy to make and can often fully compromise security. Bulletproof SSL and TLS is the first SSL book written with users in mind. It is the book you will want to read if you need to assess risks related to website encryption, manage keys and certificates, configure secure servers, and deploy secure web applications. Bulletproof SSL and TLS is based on several years of work researching SSL and how SSL is used in real life, implementing and supporting a comprehensive assessment tool running on the SSL Labs website (https://www.ssllabs.com), and assessing most of the public SSL servers on the Internet. The assessment tool helped many site owners identify and solve issues with their SSL deployments. The intent of this book is to provide a definitive reference for SSL deployment that is full of practical and relevant information.

    Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you:Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduce Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Take advantage of HBase, Hadoop's database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems If you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject. "Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk." -- Doug Cutting, Hadoop Founder, Yahoo!

    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.

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    This book demonstrates how the notation and process complement one another, using UML models to illustrate the new process in action. It describes the constructs such as use cases, actors, and more.

    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

    Imagine this scenario, you have a potential employer at a company and he's flipping through the applicants and comes across your resume. As he picks it up suddenly the one behind yours catches his eye because the applicant put that extra effort into making it look great. So he sets yours down and forgets about it forever.. The other applicant gets the job. This can easily happen even when you are more qualified than another person, if they stand out more than you then you might never get the call. So it's very important to spend time perfecting your resume. Many people realize this, but don't have any idea what to do to give theirs the extra edge. The truth of the matter is if you are having trouble creating a resume that will land you an interview it is because you are lacking effective techniques and strategies on exactly what to do. This book has step by step advice that will shoot your resume to the top of the list. A Preview of What You Will Learn ✔ How To Make Your Resume STAND OUT ✔ Visual Examples of Both Good and Bad Resumes and Cover Letters ✔ Ways To Express And Leverage Your Value ✔ Key Mistakes To Avoid ✔ The Top 5 Resume Building Tips ✔ Much, much more! Here Are Some Tips Straight From the Book - You have to keep your resume up to date, but it does not need to include everything there is to know about you. When you are sitting down and deciding what you are going to put in your resume you need to first understand that it is best if you only have one page if possible. - Ask yourself, if I were looking to hire someone would I consider someone with my resume. You need to understand that it is not the reader's intention to include your resume in the small pile of potential hires but to exclude it. For this reason you need to make sure that you are only including relevant information and that you do not look as if you are trying to build yourself up. - It all boils down to is knowing what the reader will be looking for. If you can successfully convey the exact message the employer wants to see, you will get the call.

    Every year, tens of thousands of people embark towards taking the exam via private study, Cisco Academy courses, or online training. The sad truth is most students quit along the way, and for those few who actually do attempt it, only 50% pass. All that time, effort, and money wasted! If there are so many manuals, CBT courses, lab simulators, exam engines, and study resources out there, then what goes wrong? This is the question Cisco trainer Paul Browning wanted to get to the bottom of. After interviewing thousands of students, he discovered that most people quit because they are simply overwhelmed with the sheer volume of material they need to digest and, of course, the large number of hands-on skills they need to be able to demonstrate in the exam. Add to that the day-to-day stresses of commuting to work, bringing up a family, and the distraction of everyday problems and challenges; it's no wonder people quit. This is where Cisco CCNA in 60 Days can help. Devised by two industry experts and countless Cisco students just like you, the 60-day programme breaks down every exam requirement into a daily study task. All you need to do is open the book at the relevant day (from 1 to 60), read the theory, and complete the lab. Every lesson is reviewed several times in the form of exam questions, review sessions, a handy exam cram guide, and, of course, hands-on labs for you to follow. You can choose to take the CCENT after the first 30 days and the ICND2 after the next 30 days, or you can take the CCNA after 60 days of study. Here is what is included in your study guide: 60 daily study tasks Full explanations of theory Real-world tips and advice Over 47 hands-on labs, plus 15 bonus CCENT and ICND2 labs CCENT and ICND2 cram guides Bonus VLSM guide Motivational goal-setting guide Downloadable videos Author Paul Browning is a former police officer who used his CCNA qualification to help him make a career change to IT. He worked for Cisco in the UK for a while, and then went on to start his own Cisco training company, which he ran for 8 years before moving into online Cisco training. He is the author of several Cisco study guides. He has also created the online Cisco certification training sites, including www.howtonetwork.net and www.in60days.net. Technical author Farai Tafa used to work in a shoe shop but decided he wanted more out of life, so he began to study for his Cisco exams. He is now a dual CCIE and one of the leading Cisco consultants in the US. He currently designs, installs, and troubleshoots networks for large companies.

    These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of Web intelligence, as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected.Gautam Shroff takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars. This machine intelligence may even mimic at a basic level what happens in the brain.

    What’s more, they can do it one step at a time, through a series of simple, proven steps. Now, there’s an authoritative and extensively updated version of Martin Fowler’s classic refactoring book that utilizes Ruby examples and idioms throughout–not code adapted from Java or any other environment.The authors introduce a detailed catalog of more than 70 proven Ruby refactorings, with specific guidance on when to apply each of them, step-by-step instructions for using them, and example code illustrating how they work. Many of the authors’ refactorings use powerful Ruby-specific features, and all code samples are available for download. Leveraging Fowler’s original concepts, the authors show how to perform refactoring in a controlled, efficient, incremental manner, so you methodically improve your code’s structure without introducing new bugs. Whatever your role in writing or maintaining Ruby code, this book will be an indispensable resource.This book will help you Understand the core principles of refactoring and the reasons for doing it Recognize “bad smells” in your Ruby code Rework bad designs into well-designed code, one step at a time Build tests to make sure your refactorings work properly Understand the challenges of refactoring and how they can be overcome Compose methods to package code properly Move features between objects to place responsibilities where they fit best Organize data to make it easier to work with Simplify conditional expressions and make more effective use of polymorphism Create interfaces that are easier to understand and use Generalize more effectively Perform larger refactorings that transform entire software systems and may take months or years Successfully refactor Ruby on Rails code

    And in a perfect world, those who produce the best code are the most successful. But in our perfectly messy world, success also depends on how you work with people to get your job done.In this highly entertaining book, Brian Fitzpatrick and Ben Collins-Sussman cover basic patterns and anti-patterns for working with other people, teams, and users while trying to develop software. It's valuable information from two respected software engineers whose popular video series, "Working with Poisonous People," has attracted hundreds of thousands of viewers.You'll learn how to deal with imperfect people--those irrational and unpredictable beings--in the course of your work. And you'll discover why playing well with others is at least as important as having great technical skills. By internalizing the techniques in this book, you'll get more software written, be more influential, be happier in your career.

    As the open source implementation of Google's BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant. Many IT executives are asking pointed questions about HBase. This book provides meaningful answers, whether you’re evaluating this non-relational database or planning to put it into practice right away. Discover how tight integration with Hadoop makes scalability with HBase easier Distribute large datasets across an inexpensive cluster of commodity servers Access HBase with native Java clients, or with gateway servers providing REST, Avro, or Thrift APIs Get details on HBase’s architecture, including the storage format, write-ahead log, background processes, and more Integrate HBase with Hadoop's MapReduce framework for massively parallelized data processing jobs Learn how to tune clusters, design schemas, copy tables, import bulk data, decommission nodes, and many other tasks

    Work at your own pace through a series of lessons and reviews that fully cover each exam objective. Then, reinforce what you’ve learned by applying your knowledge to real-world case scenarios and labs. This official Microsoft study guide is designed to help you make the most of your study time.Maximize your performance on the exam by learning to:Use system types, collections, and generics to help manage data Validate input, reformat text, and extract data with regular expressions Develop services, application domains, and multithreaded applications Enhance your application by adding graphics and images Implement code access security, role-based security, and data encryption Work with serialization and reflection techniques Instrument your applications with logging and tracing Interact with legacy code using COM Interop and PInvoke Practice TestsAssess your skills with practice tests on CD. You can work through hundreds of questions using multiple testing modes to meet your specific learning needs. You get detailed explanations for right and wrong answers—including a customized learning path that describes how and where to focus your studies.Your kit includes:15% exam discount from Microsoft. (Limited time offer). Details inside. Official self-paced study guide. Practice tests with multiple, customizable testing options and a learning plan based on your results. 450 practice and review questions. Case scenarios and lab exercises. Code samples on CD. 90-day evaluation version of Microsoft Visual Studio 2005 Professional Edition. Fully searchable eBook. A Note Regarding the CD or DVDThe print version of this book ships with a CD or DVD. For those customers purchasing one of the digital formats in which this book is available, we are pleased to offer the CD/DVD content as a free download via O'Reilly Media's Digital Distribution services. To download this content, please visit O'Reilly's web site, search for the title of this book to find its catalog page, and click on the link below the cover image (Examples, Companion Content, or Practice Files). Note that while we provide as much of the media content as we are able via free download, we are sometimes limited by licensing restrictions. Please direct any questions or concerns to booktech@oreilly.com.

    Authors Katherine Daniels and Jennifer Davis provide with actionable strategies you can use to engineer sustainable changes in your environment regardless of your level within your organization.

    You'll learn how to incorporate existing data sources into semantically aware applications and publish rich semantic data. Each chapter walks you through a single piece of semantic technology and explains how you can use it to solve real problems. Whether you're writing a simple mashup or maintaining a high-performance enterprise solution,Programming the Semantic Web provides a standard, flexible approach for integrating and future-proofing systems and data. This book will help you:Learn how the Semantic Web allows new and unexpected uses of data to emergeUnderstand how semantic technologies promote data portability with a simple, abstract model for knowledge representationBecome familiar with semantic standards, such as the Resource Description Framework (RDF) and the Web Ontology Language (OWL)Make use of semantic programming techniques to both enrich and simplify current web applications