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📒All The Stories Of Muriel Spark ✍ Muriel Spark
✏All the Stories of Muriel Spark Book Summary : Four brand new tales are now added to New Directions' original 1997 cloth edition of Open to the Public. This new and complete paperback edition now contains every one of her forty-one marvelous stories, catnip for all Spark fans. All the Stories of Muriel Spark spans Dame Muriel Spark's entire career to date and displays all her signature stealth, originality, beauty, elegance, wit, and shock value.No writer commands so exhilarating a styleplayful and rigorous, cheerful and venomous, hilariously acute and coolly supernatural. Ranging from South Africa to the West End, her dazzling stories feature hanging judges, fortune-tellers, shy girls, psychiatrists, dress designers, pensive ghosts, imaginary chauffeurs, and persistent guests. Regarding one story ("The Portobello Road"), Stephen Schiff said in The New Yorker: "Muriel Spark has written some of the best sentences in English. For instance: 'He looked as if he would murder me, and he did.' It's a nasty piece of work, that sentence."
📒Spark ✍ Patricia Leavy
✏Spark Book Summary : Professor Peyton Wilde has an enviable life teaching sociology at an idyllic liberal arts college--yet she is troubled by a sense of fading inspiration. One day an invitation arrives. Peyton has been selected to attend a luxurious all-expense-paid seminar in Iceland, where participants, billed as some of the greatest thinkers in the world, will be charged with answering one perplexing question. Meeting her diverse teammates--two neuroscientists, a philosopher, a dance teacher, a collage artist, and a farmer--Peyton wonders what she could ever have to contribute. The ensuing journey of discovery will transform the characters' work, their biases, and themselves. This suspenseful novel shows that the answers you seek can be found in the most unlikely places. It can be read for pleasure, is a great choice for book clubs, and can be used as unique and inspiring reading in qualitative research and other courses in education, sociology, social work, psychology, and communication.
📒Spark ✍ Ilya Ganelin
✏Spark Book Summary : Production-targeted Spark guidance with real-world use cases Spark: Big Data Cluster Computing in Production goes beyond general Spark overviews to provide targeted guidance toward using lightning-fast big-data clustering in production. Written by an expert team well-known in the big data community, this book walks you through the challenges in moving from proof-of-concept or demo Spark applications to live Spark in production. Real use cases provide deep insight into common problems, limitations, challenges, and opportunities, while expert tips and tricks help you get the most out of Spark performance. Coverage includes Spark SQL, Tachyon, Kerberos, ML Lib, YARN, and Mesos, with clear, actionable guidance on resource scheduling, db connectors, streaming, security, and much more. Spark has become the tool of choice for many Big Data problems, with more active contributors than any other Apache Software project. General introductory books abound, but this book is the first to provide deep insight and real-world advice on using Spark in production. Specific guidance, expert tips, and invaluable foresight make this guide an incredibly useful resource for real production settings. Review Spark hardware requirements and estimate cluster size Gain insight from real-world production use cases Tighten security, schedule resources, and fine-tune performance Overcome common problems encountered using Spark in production Spark works with other big data tools including MapReduce and Hadoop, and uses languages you already know like Java, Scala, Python, and R. Lightning speed makes Spark too good to pass up, but understanding limitations and challenges in advance goes a long way toward easing actual production implementation. Spark: Big Data Cluster Computing in Production tells you everything you need to know, with real-world production insight and expert guidance, tips, and tricks.
📒Spark ✍ Amy Kathleen Ryan
✏Spark Book Summary : Waverly, Kieran and Seth are in a race against time – and with the future of humanity hanging in the balance, there's no room for mistakes... After a desperate escape from the enemy ship, Waverly has finally made it back to the Empyrean. The memory of home has been keeping her alive for the past months... but home is nothing like she left it. Forced to leave their captive parents behind on the New Horizon, she's returned only to find that Kieran has become a strict leader and turned the crew against Seth. What happened to the Kieran she thought she knew? Now Waverly's not sure whom she can trust. And the one person she wants to believe in is darkly brilliant Seth, the ship's supposed enemy. Waverly knows that the situation will only get worse until they can rescue their parents – but how? Before they have time to make a plan, an explosion rocks the Empyrean, and Seth and Waverly are targeted as the prime suspects. Can they find the true culprit before Kieran locks them away... or worse? Will Waverly follow her heart, even if it puts lives at risk? Now more than ever, every step could bring them closer to a new beginning – or a sudden end. Spark is book two in Amy Kathleen Ryan's thrilling young adult science fiction series Sky Chasers.
📒Learning Spark ✍ Holden Karau
✏Learning Spark Book Summary : Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell Leverage Spark’s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm Learn how to deploy interactive, batch, and streaming applications Connect to data sources including HDFS, Hive, JSON, and S3 Master advanced topics like data partitioning and shared variables
📒Apache Spark 2 X For Java Developers ✍ Sourav Gulati
✏Apache Spark 2 x for Java Developers Book Summary : Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About This Book Perform big data processing with Spark—without having to learn Scala! Use the Spark Java API to implement efficient enterprise-grade applications for data processing and analytics Go beyond mainstream data processing by adding querying capability, Machine Learning, and graph processing using Spark Who This Book Is For If you are a Java developer interested in learning to use the popular Apache Spark framework, this book is the resource you need to get started. Apache Spark developers who are looking to build enterprise-grade applications in Java will also find this book very useful. What You Will Learn Process data using different file formats such as XML, JSON, CSV, and plain and delimited text, using the Spark core Library. Perform analytics on data from various data sources such as Kafka, and Flume using Spark Streaming Library Learn SQL schema creation and the analysis of structured data using various SQL functions including Windowing functions in the Spark SQL Library Explore Spark Mlib APIs while implementing Machine Learning techniques to solve real-world problems Get to know Spark GraphX so you understand various graph-based analytics that can be performed with Spark In Detail Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone. The book starts with an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning analytics with Spark MLlib, and graph processing with GraphX, all using various Java packages. By the end of the book, you will have a solid foundation in implementing components in the Spark framework in Java to build fast, real-time applications. Style and approach This practical guide teaches readers the fundamentals of the Apache Spark framework and how to implement components using the Java language. It is a unique blend of theory and practical examples, and is written in a way that will gradually build your knowledge of Apache Spark.
📒Muriel Spark ✍ David Herman
✏Muriel Spark Book Summary : Dame Muriel Spark published over twenty novels and many short-story collections from the late 1950s until her death in 2006. This title includes essays that consider Spark as both Scottish and world author, situate Spark in the broader contexts of postwar culture, and offer exemplary readings of specific works from various critical perspectives
📒All The Poems Of Muriel Spark ✍ Muriel Spark
✏All the Poems of Muriel Spark Book Summary : A collection of the author's poems covers such topics as European cities and the literary world.
📒Spark ✍ Sarah Beth Durst
✏Spark Book Summary : Naturally quiet since birth, Mina and her stormbeast, Pixit, lead others like themselves in defying authority and attempting to spread the truth that Alorria's idyllic weather comes at a steep cost.
📒Spark ✍ Manoush Zomorodi
✏Spark Book Summary : Spark was previously published as Bored and Brilliant. 'Crammed with practical exercises for anyone who wants to reclaim the power of spacing out' - Gretchen Rubin, author of #1 New York Times Bestseller The Happiness Project It’s time to move ‘doing nothing’ to the top of your to-do list Have you ever noticed how you have your best ideas when doing the dishes or staring out the window? It's because when your body goes on autopilot, your brain gets busy connecting ideas and solving problems. However in the modern world it often feels as though we have completely removed boredom from our lives; we are addicted to our phones, we reply to our emails twenty-four hours a day, tweet as we watch TV, watch TV as we commute, check Facebook as we walk and Instagram while we eat. Constant stimulation has become our default mode. In this easy to follow, practical book, award-winning journalist Manoush Zomorodi explores the connection between boredom and original thinking, and will show you how to ditch your screens and start embracing time spent doing nothing. Spark will help you unlock the way to becoming your most productive and creative self. 'Full of easy steps to make each day more effective' - Charles Duhigg, author of The Power of Habit