Between the Spark and the Burn PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Between the Spark and the Burn PDF full book. Access full book title Between the Spark and the Burn by April Genevieve Tucholke. Download full books in PDF and EPUB format.

Between the Spark and the Burn

Between the Spark and the Burn PDF Author: April Genevieve Tucholke
Publisher: Penguin
ISBN: 1101621885
Category : Young Adult Fiction
Languages : en
Pages : 160
Book Description
The conclusion to Between the Devil and The Deep Blue Sea, this gothic thriller romance with shades of Stephen King and Daphne du Maurier is a must-read for fans of Beautiful Creatures and Anna Dressed in Blood. Freddie once told me that the Devil created all the fear in the world. But then, the Devil once told me that it's easier to forgive someone for scaring you than for making you cry. The problem with River West Redding was that he'd done both to me. The crooked-smiling liar River West Redding, who drove into Violet's life one summer day and shook her world to pieces, is gone. Violet and Neely, River's other brother, are left to worry—until they catch a two a.m. radio program about strange events in a distant mountain town. They take off in search of River but are always a step behind, finding instead frenzied towns, witch hunts, and a wind-whipped island with the thrum of something strange and dangerous just under the surface. It isn't long before Violet begins to wonder if Neely, the one Redding brother she thought trustworthy, has been hiding a secret of his own . . .

Between the Spark and the Burn

Between the Spark and the Burn PDF Author: April Genevieve Tucholke
Publisher: Penguin
ISBN: 1101621885
Category : Young Adult Fiction
Languages : en
Pages : 160
Book Description
The conclusion to Between the Devil and The Deep Blue Sea, this gothic thriller romance with shades of Stephen King and Daphne du Maurier is a must-read for fans of Beautiful Creatures and Anna Dressed in Blood. Freddie once told me that the Devil created all the fear in the world. But then, the Devil once told me that it's easier to forgive someone for scaring you than for making you cry. The problem with River West Redding was that he'd done both to me. The crooked-smiling liar River West Redding, who drove into Violet's life one summer day and shook her world to pieces, is gone. Violet and Neely, River's other brother, are left to worry—until they catch a two a.m. radio program about strange events in a distant mountain town. They take off in search of River but are always a step behind, finding instead frenzied towns, witch hunts, and a wind-whipped island with the thrum of something strange and dangerous just under the surface. It isn't long before Violet begins to wonder if Neely, the one Redding brother she thought trustworthy, has been hiding a secret of his own . . .

Apache Spark Graph Processing

Apache Spark Graph Processing PDF Author: Rindra Ramamonjison
Publisher: Packt Publishing Ltd
ISBN: 1784398950
Category : Computers
Languages : en
Pages : 148
Book Description
Build, process and analyze large-scale graph data effectively with Spark About This Book Find solutions for every stage of data processing from loading and transforming graph data to Improve the scalability of your graphs with a variety of real-world applications with complete Scala code. A concise guide to processing large-scale networks with Apache Spark. Who This Book Is For This book is for data scientists and big data developers who want to learn the processing and analyzing graph datasets at scale. Basic programming experience with Scala is assumed. Basic knowledge of Spark is assumed. What You Will Learn Write, build and deploy Spark applications with the Scala Build Tool. Build and analyze large-scale network datasets Analyze and transform graphs using RDD and graph-specific operations Implement new custom graph operations tailored to specific needs. Develop iterative and efficient graph algorithms using message aggregation and Pregel abstraction Extract subgraphs and use it to discover common clusters Analyze graph data and solve various data science problems using real-world datasets. In Detail Apache Spark is the next standard of open-source cluster-computing engine for processing big data. Many practical computing problems concern large graphs, like the Web graph and various social networks. The scale of these graphs - in some cases billions of vertices, trillions of edges - poses challenges to their efficient processing. Apache Spark GraphX API combines the advantages of both data-parallel and graph-parallel systems by efficiently expressing graph computation within the Spark data-parallel framework. This book will teach the user to do graphical programming in Apache Spark, apart from an explanation of the entire process of graphical data analysis. You will journey through the creation of graphs, its uses, its exploration and analysis and finally will also cover the conversion of graph elements into graph structures. This book begins with an introduction of the Spark system, its libraries and the Scala Build Tool. Using a hands-on approach, this book will quickly teach you how to install and leverage Spark interactively on the command line and in a standalone Scala program. Then, it presents all the methods for building Spark graphs using illustrative network datasets. Next, it will walk you through the process of exploring, visualizing and analyzing different network characteristics. This book will also teach you how to transform raw datasets into a usable form. In addition, you will learn powerful operations that can be used to transform graph elements and graph structures. Furthermore, this book also teaches how to create custom graph operations that are tailored for specific needs with efficiency in mind. The later chapters of this book cover more advanced topics such as clustering graphs, implementing graph-parallel iterative algorithms and learning methods from graph data. Style and approach A step-by-step guide that will walk you through the key ideas and techniques for processing big graph data at scale, with practical examples that will ensure an overall understanding of the concepts of Spark.

Learning Spark SQL

Learning Spark SQL PDF Author: Aurobindo Sarkar
Publisher: Packt Publishing Ltd
ISBN: 1785887351
Category : Computers
Languages : en
Pages : 452
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.

Proceedings of the Royal Society of London

Proceedings of the Royal Society of London PDF Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 630
Book Description


Fundamentals of Automotive Technology

Fundamentals of Automotive Technology PDF Author: Vangelder
Publisher: Jones & Bartlett Learning
ISBN: 128410995X
Category : Medical
Languages : en
Pages : 1884
Book Description
Resource added for the Automotive Technology program 106023.

Pro Spark Streaming

Pro Spark Streaming PDF Author: Zubair Nabi
Publisher: Apress
ISBN: 148421479X
Category : Computers
Languages : en
Pages : 243
Book Description
Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. This book walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from a specific industry and uses publicly available datasets from that domain to unravel the intricacies of production-grade design and implementation. The domains covered in Pro Spark Streaming include social media, the sharing economy, finance, online advertising, telecommunication, and IoT. In the last few years, Spark has become synonymous with big data processing. DStreams enhance the underlying Spark processing engine to support streaming analysis with a novel micro-batch processing model. Pro Spark Streaming by Zubair Nabi will enable you to become a specialist of latency sensitive applications by leveraging the key features of DStreams, micro-batch processing, and functional programming. To this end, the book includes ready-to-deploy examples and actual code. Pro Spark Streaming will act as the bible of Spark Streaming. What You'll Learn Discover Spark Streaming application development and best practices Work with the low-level details of discretized streams Optimize production-grade deployments of Spark Streaming via configuration recipes and instrumentation using Graphite, collectd, and Nagios Ingest data from disparate sources including MQTT, Flume, Kafka, Twitter, and a custom HTTP receiver Integrate and couple with HBase, Cassandra, and Redis Take advantage of design patterns for side-effects and maintaining state across the Spark Streaming micro-batch model Implement real-time and scalable ETL using data frames, SparkSQL, Hive, and SparkR Use streaming machine learning, predictive analytics, and recommendations Mesh batch processing with stream processing via the Lambda architecture Who This Book Is For Data scientists, big data experts, BI analysts, and data architects.

Specifications and Drawings of Patents Issued from the United States Patent Office for ...

Specifications and Drawings of Patents Issued from the United States Patent Office for ... PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description


Electrotechnical Journal

Electrotechnical Journal PDF Author: Denki Gakkai (1888)
Publisher:
ISBN:
Category :
Languages : en
Pages : 1244
Book Description


Big Data Analytics

Big Data Analytics PDF Author: Venkat Ankam
Publisher: Packt Publishing Ltd
ISBN: 1785889702
Category : Computers
Languages : en
Pages : 326
Book Description
A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. Integrations with frameworks such as HDFS, YARN and tools such as Jupyter, Zeppelin, NiFi, Mahout, HBase Spark Connector, GraphFrames, H2O and Hivemall. Who This Book Is For Though this book is primarily aimed at data analysts and data scientists, it will also help architects, programmers, and practitioners. Knowledge of either Spark or Hadoop would be beneficial. It is assumed that you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data environments is not mandatory. What You Will Learn Find out and implement the tools and techniques of big data analytics using Spark on Hadoop clusters with wide variety of tools used with Spark and Hadoop Understand all the Hadoop and Spark ecosystem components Get to know all the Spark components: Spark Core, Spark SQL, DataFrames, DataSets, Conventional and Structured Streaming, MLLib, ML Pipelines and Graphx See batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming Get to grips with data science and machine learning using MLLib, ML Pipelines, H2O, Hivemall, Graphx, SparkR and Hivemall. In Detail Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data. Style and approach This step-by-step pragmatic guide will make life easy no matter what your level of experience. You will deep dive into Apache Spark on Hadoop clusters through ample exciting real-life examples. Practical tutorial explains data science in simple terms to help programmers and data analysts get started with Data Science

The Immediacy of Mystical Experience in the European Tradition

The Immediacy of Mystical Experience in the European Tradition PDF Author: Miklós Vassányi
Publisher: Springer
ISBN: 3319450697
Category : Philosophy
Languages : en
Pages : 274
Book Description
This volume examines mystical experiences as portrayed in various ways by “authors” such as philosophers, mystics, psychoanalysts, writers, and peasant women. These “mystical authors” have, throughout the ages, attempted to convey the unsayable through writings, paintings, or oral stories. The immediate experience of God is the primary source and ultimate goal of these mystical expressions. This experience is essentially ineffable, yet all mystical authors, either consciously or unconsciously, feel an urge to convey what they have undergone in the moments of rapture. At the same time they are in the role of intermediaries: the goal of their self-expression – either written, painted or oral – is to make others somehow understand or feel what they have experienced, and to lead others toward the spiritual goal of human life. This volume studies the mystical experiences and the way they have been described or portrayed in West-European culture, from Antiquity to the present, from an interdisciplinary perspective, and approaches the concept of “immediate experience” in various ways.