From the experts behind the New York Times bestseller The Spark and the creators of SparkPeople.com comes The Spark Solution, a breakthrough two-week diet program deemed one of the "Best Diets" by U.S. News & World Report. Designed to help you lose weight and optimize your health, The Spark Solution is a dynamic, comprehensive, and proven program. With an introduction by Chris Downie, founder and CEO of SparkPeople, this day-by-day guide combines the latest data and strategies on nutrition, incredibly delicious recipes, and essential workouts. The experts at SparkPeople designed this easy-to-follow regimen to deliver effective and sustainable weight loss. Thousands have already tried it, lost weight, and discovered a path to healthy living. SparkPeople has taken all the questions and bumps in the road out of the equation with The Spark Solution. There is no better way to lose weight and no better time than right now. Let these first two weeks transform your life.
From the experts behind the New York Times bestseller The Spark and the creators of SparkPeople.com comes The Spark Solution, a breakthrough two-week diet program to help you lose weight and optimize your health. The Spark Solution is a dynamic, comprehensive, and proven program. With an introduction by Chris Downie, founder and CEO of SparkPeople, this day-by-day guide combines the latest data and strategies on nutrition, incredibly delicious recipes, and essential workouts. The experts at SparkPeople designed this easy-to-follow regimen to deliver effective and sustainable weight loss. Thousands have already tried it, lost weight, and discovered a path to healthy living. SparkPeople have taken all the questions and bumps in the road out of the equation with The Spark Solution. There is no better way to lose weight and no better time than right now. Let these first two weeks transform your life. This enhanced digital edition includes before and after shots of people who have lost weight using The Spark Solution, videos to keep you motivated and thoughtful, and recipe links for tracking recipes on SparkPeople.com.
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.
From the experts who created SparkPeople.com, one of the most successful online weight-loss programs to date, comes The Spark, a ground-breaking book that focuses on what you can do, instead of what you can't do.
We’ve been conditioned to think about creative genius as a dichotomy: dreamers versus doers, creativity versus discipline, the spark versus the grind. But what if we’re wrong? What if it’s the spark and the grind? We love people whose creative genius arrives in sudden sparks of inspiration. Think of Archimedes in his bathtub or Newton under his apple tree. But we also admire people who work incredibly hard and long for their creative breakthroughs. Think of Edison in his lab, grinding through hundreds of failed variations on the lightbulb. We remember his words in tough times: “Genius is 1 percent inspiration, 99 percent perspiration.” Now Erik Wahl, a visual artist, speaker, and entrepreneur, helps us unite the yin and yang of creativity— the dynamic new ideas with the dogged effort. He shows why we won’t get far if we rely on the spark without the grind, or the grind without the spark. What the world really needs are the creators who can hold the two in balance. Fortunately, it’s possible to get good at both, as Wahl knows from experience. After his corporate career suddenly ended, he pursued a spark—to paint photorealistic portraits—and ground it out until he got good enough to make very good art very quickly. That’s the basis of his riveting live shows, which have captivated skeptical audiences who never expected to be inspired by art—and taught them to embrace creativity in a whole new way. This book offers surprising insights and practical advice about how to fan the sparks and make the grind more productive. Wahl deftly synthesizes the wisdom of other artists, philosophers, scientists, and business visionaries throughout history, along with his own views. Here’s how he sums up his approach: The world needs people who enjoy swimming in ideas until they discover a great one. The world also needs doers who have a gift for activation, a.k.a. “getting s*** done.” But the most potent individual creators in any industry or environment have learned how to be both. They’ve learned how to spark their grind and they’ve learned how to grind their sparks. As a result, they not only make things happen, they make great things. If you want to ensure constant creativity in your life and produce your most innovative work—this is your guide.
Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API About This Book Learn about the design and implementation of streaming applications, machine learning pipelines, deep learning, and large-scale graph processing applications using Spark SQL APIs and Scala. Learn data exploration, data munging, and how to process structured and semi-structured data using real-world datasets and gain hands-on exposure to the issues and challenges of working with noisy and "dirty" real-world data. Understand design considerations for scalability and performance in web-scale Spark application architectures. Who This Book Is For If you are a developer, engineer, or an architect and want to learn how to use Apache Spark in a web-scale project, then this is the book for you. It is assumed that you have prior knowledge of SQL querying. A basic programming knowledge with Scala, Java, R, or Python is all you need to get started with this book. What You Will Learn Familiarize yourself with Spark SQL programming, including working with DataFrame/Dataset API and SQL Perform a series of hands-on exercises with different types of data sources, including CSV, JSON, Avro, MySQL, and MongoDB Perform data quality checks, data visualization, and basic statistical analysis tasks Perform data munging tasks on publically available datasets Learn how to use Spark SQL and Apache Kafka to build streaming applications Learn key performance-tuning tips and tricks in Spark SQL applications Learn key architectural components and patterns in large-scale Spark SQL applications In Detail In the past year, Apache Spark has been increasingly adopted for the development of distributed applications. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Hence, understanding the design and implementation best practices before you start your project will help you avoid these problems. This book gives an insight into the engineering practices used to design and build real-world, Spark-based applications. The book's hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL. It starts by familiarizing you with data exploration and data munging tasks using Spark SQL and Scala. Extensive code examples will help you understand the methods used to implement typical use-cases for various types of applications. You will get a walkthrough of the key concepts and terms that are common to streaming, machine learning, and graph applications. You will also learn key performance-tuning details including Cost Based Optimization (Spark 2.2) in Spark SQL applications. Finally, you will move on to learning how such systems are architected and deployed for a successful delivery of your project. Style and approach This book is a hands-on guide to designing, building, and deploying Spark SQL-centric production applications at scale.
Orgasmic Leadership: The New Leadership Model Orgasmic Leadership tells the story of what drives, inspires and sustains entrepreneurs in the rapidly growing global women's sexual health and wellness space. Orgasmic Leadership reflects a wellspring of deep personal experience in pharmaceuticals, consumer products, women's health as well as indepth interviews with leaders in the sexual wellness field. Rachel Braun Scherl takes on women's long-neglected needs and satisfaction with a strategic business focus, humor, insight, passion, and in the process, exposes an incredibly complex tangle of outdated barriers and challenges that stand in the way of the successful commercialization of women's health products and services.
If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use in your projects. Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark. Topics include: Market basket analysis for a large set of transactions Data mining algorithms (K-means, KNN, and Naive Bayes) Using huge genomic data to sequence DNA and RNA Naive Bayes theorem and Markov chains for data and market prediction Recommendation algorithms and pairwise document similarity Linear regression, Cox regression, and Pearson correlation Allelic frequency and mining DNA Social network analysis (recommendation systems, counting triangles, sentiment analysis)
