Download or read book Getting Started with Impala written by John Russell and published by "O'Reilly Media, Inc.". This book was released on 2014-09-25 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to write, tune, and port SQL queries and other statements for a Big Data environment, using Impala—the massively parallel processing SQL query engine for Apache Hadoop. The best practices in this practical guide help you design database schemas that not only interoperate with other Hadoop components, and are convenient for administers to manage and monitor, but also accommodate future expansion in data size and evolution of software capabilities. Written by John Russell, documentation lead for the Cloudera Impala project, this book gets you working with the most recent Impala releases quickly. Ideal for database developers and business analysts, the latest revision covers analytics functions, complex types, incremental statistics, subqueries, and submission to the Apache incubator. Getting Started with Impala includes advice from Cloudera’s development team, as well as insights from its consulting engagements with customers. Learn how Impala integrates with a wide range of Hadoop components Attain high performance and scalability for huge data sets on production clusters Explore common developer tasks, such as porting code to Impala and optimizing performance Use tutorials for working with billion-row tables, date- and time-based values, and other techniques Learn how to transition from rigid schemas to a flexible model that evolves as needs change Take a deep dive into joins and the roles of statistics

Download or read book Getting Started with Kudu written by Jean-Marc Spaggiari and published by "O'Reilly Media, Inc.". This book was released on 2018-07-09 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fast data ingestion, serving, and analytics in the Hadoop ecosystem have forced developers and architects to choose solutions using the least common denominator—either fast analytics at the cost of slow data ingestion or fast data ingestion at the cost of slow analytics. There is an answer to this problem. With the Apache Kudu column-oriented data store, you can easily perform fast analytics on fast data. This practical guide shows you how. Begun as an internal project at Cloudera, Kudu is an open source solution compatible with many data processing frameworks in the Hadoop environment. In this book, current and former solutions professionals from Cloudera provide use cases, examples, best practices, and sample code to help you get up to speed with Kudu. Explore Kudu’s high-level design, including how it spreads data across servers Fully administer a Kudu cluster, enable security, and add or remove nodes Learn Kudu’s client-side APIs, including how to integrate Apache Impala, Spark, and other frameworks for data manipulation Examine Kudu’s schema design, including basic concepts and primitives necessary to make your project successful Explore case studies for using Kudu for real-time IoT analytics, predictive modeling, and in combination with another storage engine

Download or read book Getting Started with Impala written by John Russell and published by "O'Reilly Media, Inc.". This book was released on 2014-09-25 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to write, tune, and port SQL queries and other statements for a Big Data environment, using Impala—the massively parallel processing SQL query engine for Apache Hadoop. The best practices in this practical guide help you design database schemas that not only interoperate with other Hadoop components, and are convenient for administers to manage and monitor, but also accommodate future expansion in data size and evolution of software capabilities. Written by John Russell, documentation lead for the Cloudera Impala project, this book gets you working with the most recent Impala releases quickly. Ideal for database developers and business analysts, the latest revision covers analytics functions, complex types, incremental statistics, subqueries, and submission to the Apache incubator. Getting Started with Impala includes advice from Cloudera’s development team, as well as insights from its consulting engagements with customers. Learn how Impala integrates with a wide range of Hadoop components Attain high performance and scalability for huge data sets on production clusters Explore common developer tasks, such as porting code to Impala and optimizing performance Use tutorials for working with billion-row tables, date- and time-based values, and other techniques Learn how to transition from rigid schemas to a flexible model that evolves as needs change Take a deep dive into joins and the roles of statistics

Download or read book Getting Started with Impala written by John Russell and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to write, tune, and port SQL queries and other statements for a Big Data environment, using Impala-the massively parallel processing SQL query engine for Apache Hadoop. The best practices in this practical guide help you design database schemas that not only interoperate with other Hadoop components, and are convenient for administers to manage and monitor, but also accommodate future expansion in data size and evolution of software capabilities. Ideal for database developers and business analysts, Getting Started with Impala includes advice from Cloudera's development team, as wel.

Download or read book Next Generation Big Data written by Butch Quinto and published by Apress. This book was released on 2018-06-12 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main technology stack but also the next-generation tools and applications used for big data warehousing, data warehouse optimization, real-time and batch data ingestion and processing, real-time data visualization, big data governance, data wrangling, big data cloud deployments, and distributed in-memory big data computing. Finally, the book has an extensive and detailed coverage of big data case studies from Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard. What You’ll Learn Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical advice Integrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and Spark Use StreamSets, Talend, Pentaho, and CDAP for real-time and batch data ingestion and processing Utilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processing Turbocharge Spark with Alluxio, a distributed in-memory storage platform Deploy big data in the cloud using Cloudera Director Perform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and Spark Understand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasks Implement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modeling Study real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard Who This Book Is For BI and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using Apache Kudu, Impala, and Spark; and those who want to learn more about other advanced enterprise topics

Download or read book Hadoop Application Architectures written by Mark Grover and published by "O'Reilly Media, Inc.". This book was released on 2015-06-30 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together into a complete tailored application, based on your particular use case. To reinforce those lessons, the book’s second section provides detailed examples of architectures used in some of the most commonly found Hadoop applications. Whether you’re designing a new Hadoop application, or planning to integrate Hadoop into your existing data infrastructure, Hadoop Application Architectures will skillfully guide you through the process. This book covers: Factors to consider when using Hadoop to store and model data Best practices for moving data in and out of the system Data processing frameworks, including MapReduce, Spark, and Hive Common Hadoop processing patterns, such as removing duplicate records and using windowing analytics Giraph, GraphX, and other tools for large graph processing on Hadoop Using workflow orchestration and scheduling tools such as Apache Oozie Near-real-time stream processing with Apache Storm, Apache Spark Streaming, and Apache Flume Architecture examples for clickstream analysis, fraud detection, and data warehousing

Download or read book Reasoning Web Learning Uncertainty Streaming and Scalability written by Claudia d’Amato and published by Springer. This book was released on 2018-09-14 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-sur-Alzette, Luxembourg, in September 2018. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.

Download or read book Hadoop Security written by Ben Spivey and published by "O'Reilly Media, Inc.". This book was released on 2015-06-29 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: As more corporations turn to Hadoop to store and process their most valuable data, the risk of a potential breach of those systems increases exponentially. This practical book not only shows Hadoop administrators and security architects how to protect Hadoop data from unauthorized access, it also shows how to limit the ability of an attacker to corrupt or modify data in the event of a security breach. Authors Ben Spivey and Joey Echeverria provide in-depth information about the security features available in Hadoop, and organize them according to common computer security concepts. You’ll also get real-world examples that demonstrate how you can apply these concepts to your use cases. Understand the challenges of securing distributed systems, particularly Hadoop Use best practices for preparing Hadoop cluster hardware as securely as possible Get an overview of the Kerberos network authentication protocol Delve into authorization and accounting principles as they apply to Hadoop Learn how to use mechanisms to protect data in a Hadoop cluster, both in transit and at rest Integrate Hadoop data ingest into enterprise-wide security architecture Ensure that security architecture reaches all the way to end-user access

Download or read book The Lineback To My Beginning written by Walt Lineback and published by Xlibris Corporation. This book was released on 2013-11-21 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Walt was born in Nelsonville, a small town in southeastern Ohio, whose population has been around 5,000 for the last hundred years. In this book he tells us about many extraordinary events that he survived from the age of three to eighteen while growing up in Nelsonville. Like the time he almost drowned in the creek below their home on 969 Pleasant View Avenue. Or taking rabies shots when their pet dogs got rabies from a pack of wild dogs that roamed the hills on the other side of the valley. Or surviving car wrecks when the cars were totaled and there were no seat belts then. He graduated from NHS in 1960 in a class of 56, so you knew everyone and everyone knew you and your business. You didn’t do anything without the whole town finding out very quickly what happened. So, when he broke the taillight in his Dad’s car, Dad knew about it before he got home. Or, when he drove that same car and took his girl friend all the way to Columbus to the Kahiki Supper Club for dinner one time, and, ruined his older brother’s white sport coat and Tanya’s new dress when an orange fountain exploded while they waited in the Kahiki’s crowded lobby, somehow people knew about the incident by the time they got back to Nelsonville. They quickly told a story to their friends first, then their parents, that some kid sprayed orange soda all over them at the high school dance that evening. And the best part of that adventure was, that the dinner was free if they didn’t take the free dry cleaning offer from the Kahiki. That is the way small towns were back then. Walt went on to work his way through Ohio University and eventually earned three degrees from there and a Master’s Degree from the University of Dayton in 1980. Walt’s adventures after finishing High School in 1960, like Ohio University, the party school, Western Electric in Columbus, and the Army and Vietnam, are in his next book, The Second Eighteen Plus.

Download or read book Hadoop Cluster Deployment written by Danil Zburivsky and published by Packt Publishing Ltd. This book was released on 2013-11-25 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a step-by-step tutorial filled with practical examples which will show you how to build and manage a Hadoop cluster along with its intricacies.This book is ideal for database administrators, data engineers, and system administrators, and it will act as an invaluable reference if you are planning to use the Hadoop platform in your organization. It is expected that you have basic Linux skills since all the examples in this book use this operating system. It is also useful if you have access to test hardware or virtual machines to be able to follow the examples in the book.

Download or read book Hadoop For Dummies written by Dirk deRoos and published by John Wiley & Sons. This book was released on 2014-04-14 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Let Hadoop For Dummies help harness the power of your data and rein in the information overload Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters. Explains the origins of Hadoop, its economic benefits, and its functionality and practical applications Helps you find your way around the Hadoop ecosystem, program MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easily Details how to use Hadoop applications for data mining, web analytics and personalization, large-scale text processing, data science, and problem-solving Shows you how to improve the value of your Hadoop cluster, maximize your investment in Hadoop, and avoid common pitfalls when building your Hadoop cluster From programmers challenged with building and maintaining affordable, scaleable data systems to administrators who must deal with huge volumes of information effectively and efficiently, this how-to has something to help you with Hadoop.

Download or read book Impala 1958 2000 written by Dan Burger Robert Genat and published by . This book was released on with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Start and Run Your Own Record Label written by Daylle Deanna Schwartz and published by Watson-Guptill Publications. This book was released on 2003 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: An updated guide to becoming a music mogul explores alternative markets for all musical genres, utilizing the power of the Internet and offering suggestions for marketing overseas.

Download or read book Serengeti written by A. R. E. Sinclair and published by University of Chicago Press. This book was released on 1979 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamics of the serengeti ecosystem: process and pattern; The serengeti environment; Grassland-herbivore dynamics; The eruption of the ruminants; The migration and grazing succession; Feeding strategy and the pattern of resource-partitioning in ungulates; Energy costs of locomotion and the concept of foraging radius; The dynamics of ungulate social organization; Serengeti predators and their social systems; Population changes in lions and other predators; The adaptations of scavengers; A simulation of the wildebeest population, other ungulates, and their predators; The influence of grazing, browsing, and fire on the vegetation dynamics of the serengeti; Changes in populations of resident ungulates.

Download or read book Apache Hadoop 3 Quick Start Guide written by Hrishikesh Vijay Karambelkar and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem Key FeaturesSet up, configure and get started with Hadoop to get useful insights from large data setsWork with the different components of Hadoop such as MapReduce, HDFS and YARN Learn about the new features introduced in Hadoop 3Book Description Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster. What you will learnStore and analyze data at scale using HDFS, MapReduce and YARNInstall and configure Hadoop 3 in different modesUse Yarn effectively to run different applications on Hadoop based platformUnderstand and monitor how Hadoop cluster is managedConsume streaming data using Storm, and then analyze it using SparkExplore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and KafkaWho this book is for Aspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage.

Download or read book Three Times Lucky written by Sheila Turnage and published by Penguin. This book was released on 2012-05-10 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Newbery honor winner, New York Times bestseller, Edgar Award Finalist, and E.B. White Read-Aloud Honor book. A hilarious Southern debut with the kind of characters you meet once in a lifetime Rising sixth grader Miss Moses LoBeau lives in the small town of Tupelo Landing, NC, where everyone's business is fair game and no secret is sacred. She washed ashore in a hurricane eleven years ago, and she's been making waves ever since. Although Mo hopes someday to find her "upstream mother," she's found a home with the Colonel--a café owner with a forgotten past of his own--and Miss Lana, the fabulous café hostess. She will protect those she loves with every bit of her strong will and tough attitude. So when a lawman comes to town asking about a murder, Mo and her best friend, Dale Earnhardt Johnson III, set out to uncover the truth in hopes of saving the only family Mo has ever known. Full of wisdom, humor, and grit, this timeless yarn will melt the heart of even the sternest Yankee.

Download or read book Cloudera Impala written by John Russell and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn about Cloudera Impala--an open source project that's opening up the Apache Hadoop software stack to a wide audience of database analysts, users, and developers. The Impala massively parallel processing (MPP) engine makes SQL queries of Hadoop data simple enough to be accessible to analysts familiar with SQL and to users of business intelligence tools--and it's fast enough to be used for interactive exploration and experimentation.