The Spark Solution (Enhanced Edition) PDF Download

Author: Becky Hand
Publisher: Harper Collins
ISBN: 0062303600
Category : Health & Fitness
Languages : en
Pages : 372

View

Book Description
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.

Author: Shilpi Saxena
Publisher: Packt Publishing Ltd
ISBN: 1787289869
Category : Computers
Languages : en
Pages : 354

View

Book Description
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.

Author: Chris Downie
Publisher: Hay House, Inc
ISBN: 1401927661
Category : Health & Fitness
Languages : en
Pages : 258

View

Book Description
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.

Author: Becky Hand
Publisher: Harper Collins
ISBN: 0062228358
Category : Health & Fitness
Languages : en
Pages : 311

View

Book Description
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.

Author: Javier Luraschi
Publisher: "O'Reilly Media, Inc."
ISBN: 1492046329
Category : Computers
Languages : en
Pages : 296

View

Book Description
If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions

Author: Cyrus Feldman
Publisher:
ISBN:
Category : Solution (Chemistry)
Languages : en
Pages : 14

View

Book Description

Author: Aurobindo Sarkar
Publisher: Packt Publishing Ltd
ISBN: 1785887351
Category : Computers
Languages : en
Pages : 452

View

Book Description
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.

Author: Frank Sesno
Publisher: AMACOM
ISBN: 0814436722
Category : Business & Economics
Languages : en
Pages : 291

View

Book Description
What hidden skill links successful people in all walks of life? The answer is surprisingly simple: they know how to ask the right questions at the right time. Questions help us break down barriers, discover secrets, solve puzzles, and imagine new ways of doing things. The right question can provide for us not only the answer we need right then but also the ones we’ll need tomorrow. Emmy award–winning journalist and media expert Frank Sesno wants to teach you how to question others in a methodical, intentional way so that you can find the same success that others have found by mastering this simple skill. In Ask More, you will learn: How the Gates Foundation used strategic questions to plan its battle against malaria How turnaround expert Steve Miller uses diagnostic questions to get to the heart of a company's problems How creative questions animated a couple of techie dreamers to brainstorm Uber How journalist Anderson Cooper uses confrontational questions to hold people accountable Throughout Ask More, you’ll explore all different types of inquiries--from questions that cement relationships, to those that will help you plan for the future. By the end, you’ll know what to ask and when, what you should listen for, and what you can expect as the outcome.

Author: Bill Chambers
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912294
Category : Computers
Languages : en
Pages : 712

View

Book Description
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

Author: Jean-Georges Perrin
Publisher: Simon and Schuster
ISBN: 1638351309
Category : Computers
Languages : en
Pages : 574

View

Book Description
Summary The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in enterprises worldwide, and with Spark’s powerful and flexible Java APIs, you can reap all the benefits without first learning Scala or Hadoop. Foreword by Rob Thomas. About the technology Analyzing enterprise data starts by reading, filtering, and merging files and streams from many sources. The Spark data processing engine handles this varied volume like a champ, delivering speeds 100 times faster than Hadoop systems. Thanks to SQL support, an intuitive interface, and a straightforward multilanguage API, you can use Spark without learning a complex new ecosystem. About the book Spark in Action, Second Edition, teaches you to create end-to-end analytics applications. In this entirely new book, you’ll learn from interesting Java-based examples, including a complete data pipeline for processing NASA satellite data. And you’ll discover Java, Python, and Scala code samples hosted on GitHub that you can explore and adapt, plus appendixes that give you a cheat sheet for installing tools and understanding Spark-specific terms. What's inside Writing Spark applications in Java Spark application architecture Ingestion through files, databases, streaming, and Elasticsearch Querying distributed datasets with Spark SQL About the reader This book does not assume previous experience with Spark, Scala, or Hadoop. About the author Jean-Georges Perrin is an experienced data and software architect. He is France’s first IBM Champion and has been honored for 12 consecutive years. Table of Contents PART 1 - THE THEORY CRIPPLED BY AWESOME EXAMPLES 1 So, what is Spark, anyway? 2 Architecture and flow 3 The majestic role of the dataframe 4 Fundamentally lazy 5 Building a simple app for deployment 6 Deploying your simple app PART 2 - INGESTION 7 Ingestion from files 8 Ingestion from databases 9 Advanced ingestion: finding data sources and building your own 10 Ingestion through structured streaming PART 3 - TRANSFORMING YOUR DATA 11 Working with SQL 12 Transforming your data 13 Transforming entire documents 14 Extending transformations with user-defined functions 15 Aggregating your data PART 4 - GOING FURTHER 16 Cache and checkpoint: Enhancing Spark’s performances 17 Exporting data and building full data pipelines 18 Exploring deployment