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Datadog is an essential cloud monitoring and operational analytics tool which enables the monitoring of servers, virtual machines, containers, databases, third-party tools, and application services. IT and DevOps teams can easily leverage Datadog to monitor infrastructure and cloud services, and this book will show you how.The book starts by describing basic monitoring concepts and types of monitoring that are rolled out in a large-scale IT production engineering environment. Moving on, the book covers how standard monitoring features are implemented on the Datadog platform and how they can be rolled out in a real-world production environment. As you advance, you'll discover how Datadog is integrated with popular software components that are used to build cloud platforms. The book also provides details on how to use monitoring standards such as Java Management Extensions (JMX) and StatsD to extend the Datadog platform. Finally, you'll get to grips with monitoring fundamentals, learn how monitoring can be rolled out using Datadog proactively, and find out how to extend and customize the Datadog platform.By the end of this Datadog book, you will have gained the skills needed to monitor your cloud infrastructure and the software applications running on it using Datadog.
Edward J. Cody, Emily M. Vose, Emily Vose, Edward Cody
Oracle Hyperion Interactive Reporting is one of many products in the Oracle Business Intelligence Enterprise Edition Plus software suite, an industry-leading business intelligence platform. The primary focus of the Interactive Reporting product is to provide strong relational querying and data analysis capabilities, where the software provides significant flexibility for creating custom dashboards, interfaces, and data analysis routines through the use of JavaScript programming and built-in software functionality. While Interactive Reporting is extremely flexible, performing advanced operations in the software is complicated and requires basic programming knowledge and an advanced understanding of the software. This book continues from where The Business Analyst’s Guide to Oracle Hyperion Interactive Reporting 11 completed and provides the reader with the information to successfully execute the advanced features of the product along with examples and specific techniques applicable to everyday use.The Oracle Hyperion Interactive Reporting 11 Expert Guide provides software users and developers with many examples of the techniques used by software experts. The book begins with an introduction to leveraging advanced features of the project and an introduction to JavaScript. Dashboards are a major focus of the book with four chapters focused on building a simple to complex dashboard including functions, global objects, and syncing selections across dashboards. The book places an emphasis on learning methods for data analysis by using advanced programming and built-in functions, and a unique approach to using code to generate batch reports and exports is provided. The Dashboard Studio Optimize Utility and the Dashboard Studio Merge utility are explained in detail, and the approach to building and using a central code repository for use in dashboards and computations across multiple documents in an enterprise is demonstrated. This book will help the reader become an expert user of the software, providing the skills necessary to understand, communicate, and perform advanced level tasks. The authors’ experience in developing and supporting Interactive Reporting users is very apparent throughout each chapter of the book. While the book displays content and examples from version 11 of the software, the book is also applicable to previous versions of the software dating back to version 8, so readers not currently using Interactive Reporting 11 will find the book applicable to daily use with the product.
Data Visualization: Representing Information on Modern Web. Click here to enter text
Simon Timms, Andy Kirk, Aendrew Rininsland, Swizec Teller
Do you want to create more attractive charts? Or do you have huge data sets and need to unearth the key insights in a visual manner? Data visualization is the representation and presentation of data, using proven design techniques to bring alive the patterns, stories, and key insights that are locked away.This learning path is divided into three modules. The first module will equip you with the key techniques required to overcome contemporary data visualization challenges. In the second module, Social Data Visualization with HTML5 and JavaScript, it teaches you how to leverage HTML5 techniques through JavaScript to build visualizations.In third module, Learning d3.js Data Visualization, will lead you to D3, which has emerged as one of the leading platforms to develop beautiful, interactive visualizations over the web. By the end of this course, you will have unlocked the mystery behind successful data visualizations.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Data Visualization: a successful design process by Andy Kirk? Social Data Visualization with HTML5 and JavaScript by Simon Timms? Learning d3.js Data Visualization, Second Edition by Ændrew Rininsland and Swizec Teller
Dr. Seán Kennedy, Maaike van Putten
Learn Java with Projects bridges the gap between introductory Java guides and verbose, theoretical references. This book is crafted to build a strong foundation in Java programming, starting from the Java environment itself. It goes far beyond a superficial review of the topics; it demonstrates, with practical examples, why these fundamentals are crucial for developing a deep understanding of the language. You'll not only learn about classes and objects but also see how these concepts are used in practical scenarios, enhancing your ability to write clean, efficient code. The engaging projects throughout the book provide real-world applications of complex topics, ensuring you can connect theoretical knowledge with practical skills. What makes this book stand out is the expertise of its authors. Seán, a seasoned university lecturer with over 20 years of experience, brings academic rigor and real-world insights, thanks to his work with a prestigious software company. Maaike, a passionate software developer and award-winning trainer, brings hands-on experience and a love for teaching. By the end of this book, you'll not only understand Java's core concepts and the critical advanced ones, but also gain practical experience through projects that mimic real-life challenges.
Alexia Audevart, Konrad Banachewicz, Luca Massaron
The independent recipes in Machine Learning Using TensorFlow Cookbook will teach you how to perform complex data computations and gain valuable insights into your data. Dive into recipes on training models, model evaluation, sentiment analysis, regression analysis, artificial neural networks, and deep learning - each using Google’s machine learning library, TensorFlow.This cookbook covers the fundamentals of the TensorFlow library, including variables, matrices, and various data sources. You’ll discover real-world implementations of Keras and TensorFlow and learn how to use estimators to train linear models and boosted trees, both for classification and regression.Explore the practical applications of a variety of deep learning architectures, such as recurrent neural networks and Transformers, and see how they can be used to solve computer vision and natural language processing (NLP) problems.With the help of this book, you will be proficient in using TensorFlow, understand deep learning from the basics, and be able to implement machine learning algorithms in real-world scenarios.
Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data?The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities.Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you’ll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You’ll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you’ve ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you’ll use the Bokeh library to create dynamic visualizations that can be integrated into any web page.By the end of this workshop, you’ll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data.
Ashok Ramachandran, Christian Stimming
Attention, small business owners! Stop tax-day stress. Stop procrastinating with a shoebox full of receipts. Stop reinventing the wheel with a spreadsheet. Stop making decisions simply on a hunch. Stop wasting money on software that is overkill. Start by downloading GnuCash and getting your accounts in order. Designed to be easy to use, yet powerful and flexible, GnuCash allows you to track bank accounts, income, and expenses. As quick and intuitive to use as a checkbook register, it is based on professional accounting principles to ensure balanced books and accurate reports. You can do it and Gnucash 2.4 Small Business Accounting Beginner's Guide will help you get up and running with maintaining your accounts.Gnucash 2.4 Small Business Accounting Beginner's Guide speaks business language, not accountant-speak, because it is written by a former small business owner. It guides you to use GnuCash from scratch with step-by-step tutorials without jargon, pointing out the gotchas to avoid with lots of tips. It will teach you to work on routine business transactions while migrating transaction data from other applications gradually. You will be able to keep on top of transactions and run reports after reading just three chapters!Beyond Chapter 3, it is up to you how far you want to go. Reconcile with your bank and credit card statements. Charge and pay sales tax. Do invoicing. Track payments due. Set up reminders for bills. Avoid stress at tax time. Print checks. Capture expenses using your mobile phone.Gnucash 2.4 Small Business Accounting Beginner's Guide gives you the power. Know your numbers. Make decisions with confidence. Drive your business to its full potential.
The Linux kernel is at the very core of arguably the world’s best production-quality OS. Debugging it, though, can be a complex endeavor.Linux Kernel Debugging is a comprehensive guide to learning all about advanced kernel debugging. This book covers many areas in-depth, such as instrumentation-based debugging techniques (printk and the dynamic debug framework), and shows you how to use Kprobes. Memory-related bugs tend to be a nightmare – two chapters are packed with tools and techniques devoted to debugging them. When the kernel gifts you an Oops, how exactly do you interpret it to be able to debug the underlying issue? We’ve got you covered. Concurrency tends to be an inherently complex topic, so a chapter on lock debugging will help you to learn precisely what data races are, including using KCSAN to detect them. Some thorny issues, both debug- and performance-wise, require detailed kernel-level tracing; you’ll learn to wield the impressive power of Ftrace and its frontends. You’ll also discover how to handle kernel lockups, hangs, and the dreaded kernel panic, as well as leverage the venerable GDB tool within the kernel (KGDB), along with much more.By the end of this book, you will have at your disposal a wide range of powerful kernel debugging tools and techniques, along with a keen sense of when to use which.
R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
Nathan H. Danneman, Richard Heimann, Pradeepta Mishra, Bater Makhabel
Data mining is the first step to understanding data and making sense of heaps of data. Properly mined data forms the basis of all data analysis and computing performed on it. This learning path will take you from the very basics of data mining to advanced data mining techniques, and will end up with a specialized branch of data mining—social media mining.You will learn how to manipulate data with R using code snippets and how to mine frequent patterns, association, and correlation while working with R programs. You will discover how to write code for various predication models, stream data, and time-series data. You will also be introduced to solutions written in R based on R Hadoop projects. Now that you are comfortable with data mining with R, you will move on to implementing your knowledge with the help of end-to-end data mining projects. You will learn how to apply different mining concepts to various statistical and data applications in a wide range of fields. At this stage, you will be able to complete complex data mining cases and handle any issues you might encounter during projects.After this, you will gain hands-on experience of generating insights from social media data. You will get detailed instructions on how to obtain, process, and analyze a variety of socially-generated data while providing a theoretical background to accurately interpret your findings. You will be shown R code and examples of data that can be used as a springboard as you get the chance to undertake your own analyses of business, social, or political data.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Learning Data Mining with R by Bater Makhabel ? R Data Mining Blueprints by Pradeepta Mishra? Social Media Mining with R by Nathan Danneman and Richard Heimann
Prabhakar Chaganti, Rich Helms, Richard Helms
SimpleDB is a highly scalable, simple-to-use, and inexpensive database in the cloud from Amazon Web Services. But in order to use SimpleDB, you really have to change your mindset. This isn't a traditional relational database; in fact it's not relational at all. For developers who have experience working with relational databases, this may lead to misconceptions as to how SimpleDB works.This practical book aims to address your preconceptions on how SimpleDB will work for you. You will be quickly led through the differences between relational databases and SimpleDB, and the implications of using SimpleDB. Throughout this book, there is an emphasis on demonstrating key concepts with practical examples for Java, PHP, and Python developers.You will be introduced to this massively scalable schema-less key-value data store: what it is, how it works, and why it is such a game-changer. You will then explore the basic functionality offered by SimpleDB including querying, code samples, and a lot more. This book will help you deploy services outside the Amazon cloud and access them from any web host.You will see how SimpleDB gives you the freedom to focus on application development. As you work through this book you will be able to optimize the performance of your applications using parallel operations, caching with memcache, asynchronous operations, and more.
Almost a decade after the release of Node.js, the tooling used by frontend developers is fully embracing this cross-platform JavaScript runtime, which is sadly often limited to server-side web development. This is where this Node.js book comes in, showing you what this popular runtime has to offer and how you can unlock its full potential to create frontend-focused web apps.You’ll begin by learning the basics and internals of Node.js, before discovering how to divide your code into modules and packages. Next, you’ll get to grips with the most popular package managers and their uses and find out how to use TypeScript and other JavaScript variants with Node.js. Knowing which tool to use when is crucial, so this book helps you understand all the available state-of-the-art tools in Node.js. You’ll interact with linters such as ESLint and formatters such as Prettier. As you advance, you’ll become well-versed with the Swiss Army Knife for frontend developers – the bundler. You’ll also explore various testing utilities, such as Jest, for code quality verification. Finally, you’ll be able to publish your code in reusable packages with ease.By the end of this web development book, you’ll have gained the knowledge to confidently choose the right code structure for your repositories with all that you’ve learned about monorepos.
Galio is a free open source React Native framework that enables beginner-level programmers to quickly build cross-platform mobile apps by leveraging its beautifully designed ready-made components. This book helps you to learn about React Native app development while building impressive out-of-the-box apps with Galio.Lightning Fast Mobile App Development with Galio takes a hands-on approach to implementation and associated methodologies that will have you up and running and productive in no time. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, you will begin by exploring the basics of React Native and understanding how Galio works. As you make progress, you'll learn how to initialize and configure a React Native app and get to grips with the basics of React Native development. You'll also discover how packages work and how to install Galio as the main dependency, along with understanding how and why Galio helps you to develop apps with ease. Finally, you'll build three practical and exciting apps using React Native and Galio.By the end of this app development book, you'll have learned how to use Galio to quickly create layouts and set up React Native projects for your personal ideas.
Say goodbye to feeling overwhelmed by Keap Pro/Max! This guide is your ultimate companion, taking you from the initial setup to daily usage and routine maintenance, showing you how to leverage the system’s features for business success. We start by building a solid foundation for Keap Pro/Max, guiding you through the setup and helping you navigate the features with ease. As you progress, you'll uncover advanced strategies and tricks that will elevate your business.Imagine managing your customer relationships effortlessly, delighting them at every step. Learn how to organize your contacts, track sales, and enhance the customer experience. Say goodbye to manual tasks and hello to efficiency by automating your marketing campaigns. You'll target your audience with precision and create personalized customer journeys.Need to generate leads? This book reveals proven techniques to attract, capture, and nurture leads effectively. You'll master campaign management, ensuring every step is seamlessly executed for maximum conversions.By the end of this book, you’ll be a Keap Pro/Max wiz, ready to dominate your niche and scale your business using the power of automation to supercharge your marketing efforts and achieve workflow mastery.
Harveen Singh Chadha, Luis Capelo
Machine learning gives computers the ability to learn like humans. It is becoming increasingly transformational to businesses in many forms, and a key skill to learn to prepare for the future digital economy.As a beginner, you’ll unlock a world of opportunities by learning the techniques you need to contribute to the domains of machine learning, deep learning, and modern data analysis using the latest cutting-edge tools.The Applied TensorFlow and Keras Workshop begins by showing you how neural networks work. After you’ve understood the basics, you will train a few networks by altering their hyperparameters. To build on your skills, you’ll learn how to select the most appropriate model to solve the problem in hand. While tackling advanced concepts, you’ll discover how to assemble a deep learning system by bringing together all the essential elements necessary for building a basic deep learning system - data, model, and prediction. Finally, you’ll explore ways to evaluate the performance of your model, and improve it using techniques such as model evaluation and hyperparameter optimization.By the end of this book, you'll have learned how to build a Bitcoin app that predicts future prices, and be able to build your own models for other projects.
Through this hands-on Snowflake certification book with real-world examples, you’ll quickly learn fundamental concepts and perform required labs to develop an understanding of Snowflake architecture and data security. As you progress, you will dive into critical domains of the exam, including SQL for Snowflake certification, data governance, access control, and transformations.Alongside top resources for SnowPro Core exam preparation, you will progress from the basics of the Snowflake data pipeline and ETL processes through best practices for Snowflake query optimization to onboarding users with the right access controls to ensure your data stays safe and secure. You’ll also learn how to share data outside of Snowflake.Combined with the Snowflake hands-on projects and lab exercises, you’ll be ready to take the SnowPro Core exam and pass it the first time. You’ll gain all the skills to use Snowflake to fulfill your organization’s data needs.The book is written by Jatin Verma, a certified SnowPro Core expert, and includes practical exam strategies, practice tests, and flashcards to enhance your preparation. Whether you're a data engineer, architect, analyst, or cloud professional, this guide will ensure you're fully prepared for Snowflake certification success.
Blockchain is being billed as the technology of the future. Bitcoin is the first application of that technology. Mining is what makes it all possible. Exploring mining from a practical perspective will help you make informed decisions about your mining setup. Understanding what the future may hold for blockchains, and therefore for mining, will help you position yourself to take advantage of the impending changes.This practical guide starts with an introduction to Bitcoin wallets, as well as mining hardware and software. You will move on to learn about different mining techniques using the CPU, GPU, FPGA, and ultimately the ASIC as an example. After this, you will gain an insight into solo mining and pool mining, and see the differences between the two. The book will then walk you through large-scale mining and the challenges faced during such operations. Finally, you will take a look into the future to see a world where blockchain-based applications are commonplace and mining is ubiquitous.