While reeling from the after-effects of a painful relationship with a married man, English professor Cara Heming risks everything and marries Diego, a Spanish man she has just met. As she helps her new husband adjust to life in New York, Cara struggles to balance her demanding job and the needs of her demented mother and depressed father. Frustrated by Cara’s focus on her parents and her work, Diego transforms into an angry, jealous, and paranoid partner. Far from perfect herself, puritanically inclined Cara harbors biases that inflame Diego’s rage. When he and Cara’s mother grow increasingly vicious, Cara must join forces with her timid father, who surprises her. Trying to find her way out of the darkness, Cara must fight to survive the consequences of her mistakes. The Memory Hive is the compelling tale of a woman’s journey of tragic errors, terrifying abuse, and growing resilience after she marries a Spanish man she barely knows.
In the distant future the entire galaxy has been completely assimilated by Borg and it's king_ Locutus! The only hope for the future lies in the past, in the hands of Captain Jean-Luc Picard and the crew of the Starship Enterpriseas Picard faces off against the Borg collective in one final, terrifying, and definitive encounter!
Felicia Ward is dead. Trapped in Level 2, the hive-like waiting room between Earth and Heaven, she has spent endless days downloading and replaying memories of her family, friends, boyfriend, and the guy who broke her heart. Now a rebellion is brewing in this limbo world, and Felicia is the key. Suspended between Heaven and Earth, she must make a choice between two worlds, two lives and two loves. Her decision will change everything. Includes an exclusive interview with the author and links to Lenore Appelhans' Level 2 playlist. Previously published as Level 2. "Absolutely gripping. My heart pounded on nearly every page. You won't be able to put it down." - Mary E. Pearson, award-winning author of the Jenna Fox Chronicles
Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem. This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data. Use Hive to create, alter, and drop databases, tables, views, functions, and indexes Customize data formats and storage options, from files to external databases Load and extract data from tables—and use queries, grouping, filtering, joining, and other conventional query methods Gain best practices for creating user defined functions (UDFs) Learn Hive patterns you should use and anti-patterns you should avoid Integrate Hive with other data processing programs Use storage handlers for NoSQL databases and other datastores Learn the pros and cons of running Hive on Amazon’s Elastic MapReduce
A Winner of People Magazine’s Best Books for Fall 2019. New York Times bestselling authors Barry Lyga and Morgan Baden have teamed up for the first time to create a novel that’s gripping, terrifying and more relevant every day. Cassie McKinney has always believed in the Hive. Social media used to be out of control, after all. People were torn apart by trolls and doxxers. Even hackers — like Cassie’s dad — were powerless against it. But then the Hive came. A better way to sanction people for what they do online. Cause trouble, get too many "condemns," and a crowd can come after you, teach you a lesson in real life. It’s safer, fairer and perfectly legal. Entering her senior year of high school, filled with grief over an unexpected loss, Cassie is primed to lash out. Egged on by new friends, she makes an edgy joke online. Cassie doubts anyone will notice. But the Hive notices everything. And as her viral comment whips an entire country into a frenzy, the Hive demands retribution. One moment Cassie is anonymous; the next, she’s infamous. And running for her life. With nowhere to turn, she must learn to rely on herself — and a group of Hive outcasts who may not be reliable — as she slowly uncovers the truth about the machine behind the Hive.
This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive. Key Features Grasp the skills needed to write efficient Hive queries to analyze the Big Data Discover how Hive can coexist and work with other tools within the Hadoop ecosystem Uses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3.3 Book Description In this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith the process of setting up and getting familiar with your Hive working environment. Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skills in using the Hive language in an effcient manner. Toward the end, the book focuses on advanced topics, such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey. By the end of the book, you will be familiar with Hive and able to work effeciently to find solutions to big data problems What you will learn Create and set up the Hive environment Discover how to use Hive's definition language to describe data Discover interesting data by joining and filtering datasets in Hive Transform data by using Hive sorting, ordering, and functions Aggregate and sample data in different ways Boost Hive query performance and enhance data security in Hive Customize Hive to your needs by using user-defined functions and integrate it with other tools Who this book is for If you are a data analyst, developer, or simply someone who wants to quickly get started with Hive to explore and analyze Big Data in Hadoop, this is the book for you. Since Hive is an SQL-like language, some previous experience with SQL will be useful to get the most out of this book.
Do you believe in angels? When Xaviere is tasked with transcribing taped interviews her deceased friend Daphne left to her in her will, she begins to piece together the story of the photographer Irene Guernsey, a moderately well known but elusive photographer Daphne was interviewing. Irene's mysterious images captivate Xaviere as they had Daphne. Irene had never given interviews or talked about her work publicly, but near the end of her life, she reveals the magic hidden in plain sight in her mysterious and ethereal photographs and her attempt to capture angel wings on film.?And once the angels appear, the reader is taken on a journey that spans decades and changes the lives of multiple women along the way. Everything Affects Everyone, /em> is a novel about listening, about how women speak to one another, and about the power of the question.
Over the last few decades, economists and psychologists have quietly documented the many ways in which a person's IQ matters. But, research suggests that a nation's IQ matters so much more. As Garett Jones argues in Hive Mind, modest differences in national IQ can explain most cross-country inequalities. Whereas IQ scores do a moderately good job of predicting individual wages, information processing power, and brain size, a country's average score is a much stronger bellwether of its overall prosperity. Drawing on an expansive array of research from psychology, economics, management, and political science, Jones argues that intelligence and cognitive skill are significantly more important on a national level than on an individual one because they have "positive spillovers." On average, people who do better on standardized tests are more patient, more cooperative, and have better memories. As a result, these qualities—and others necessary to take on the complexity of a modern economy—become more prevalent in a society as national test scores rise. What's more, when we are surrounded by slightly more patient, informed, and cooperative neighbors we take on these qualities a bit more ourselves. In other words, the worker bees in every nation create a "hive mind" with a power all its own. Once the hive is established, each individual has only a tiny impact on his or her own life. Jones makes the case that, through better nutrition and schooling, we can raise IQ, thereby fostering higher savings rates, more productive teams, and more effective bureaucracies. After demonstrating how test scores that matter little for individuals can mean a world of difference for nations, the book leaves readers with policy-oriented conclusions and hopeful speculation: Whether we lift up the bottom through changing the nature of work, institutional improvements, or freer immigration, it is possible that this period of massive global inequality will be a short season by the standards of human history if we raise our global IQ.
Easy, hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today's big data world About This Book Grasp a complete reference of different Hive topics. Get to know the latest recipes in development in Hive including CRUD operations Understand Hive internals and integration of Hive with different frameworks used in today's world. Who This Book Is For The book is intended for those who want to start in Hive or who have basic understanding of Hive framework. Prior knowledge of basic SQL command is also required What You Will Learn Learn different features and offering on the latest Hive Understand the working and structure of the Hive internals Get an insight on the latest development in Hive framework Grasp the concepts of Hive Data Model Master the key concepts like Partition, Buckets and Statistics Know how to integrate Hive with other frameworks such as Spark, Accumulo, etc In Detail Hive was developed by Facebook and later open sourced in Apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HiveQL that includes all SQL capabilities like analytical functions which are the need of the hour in today's Big Data world. This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also covers the source code explanation of latest Hive version. Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks. Style and approach Starting with the basics and covering the core concepts with the practical usage, this book is a complete guide to learn and explore Hive offerings.
