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Author: John Russell
Publisher: "O'Reilly Media, Inc."
ISBN: 1491905743
Category : Computers
Languages : en
Pages : 152
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Book Description
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
Author: John Russell
Publisher: "O'Reilly Media, Inc."
ISBN: 1491905743
Category : Computers
Languages : en
Pages : 152
Get Book Here
Book Description
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
Author: John Russell
Publisher: "O'Reilly Media, Inc."
ISBN: 1491905727
Category : Computers
Languages : en
Pages : 203
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Book Description
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
Author: Agus Kurniawan
Publisher: PE Press
ISBN:
Category : Computers
Languages : en
Pages : 92
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Book Description
This book is designed for anyone who learns how to get started with Apache Impala. The book covers SQL queries and data manipulation for Apache Impala. The following is a list of highlight topics: * Introduction to Apache Impala * Working with Apache Impala Shell * SQL Querying with Apache Hue and Apache Impala * Loading Dataset to Apache Impala * Basic SQL Query for Apache Impala * Joining Query and Subquery on Apache Impala * Partition Data on Apache Impala * Apache Impala Database Programming with Java
Author: Jean-Marc Spaggiari
Publisher: "O'Reilly Media, Inc."
ISBN: 1491980206
Category : Computers
Languages : en
Pages : 158
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Book Description
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
Author: John Russell
Publisher:
ISBN: 9781491905760
Category : Apache Hadoop
Languages : en
Pages :
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Book Description
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.
Author: Jessi Kirby
Publisher: Simon and Schuster
ISBN: 1442416998
Category : Young Adult Fiction
Languages : en
Pages : 242
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Book Description
A devastating loss leads to an unexpected road trip in what Sarah Ockler calls a “beautiful, engaging journey with heart, humor, and just a pinch of Texas sass.” Three days after learning of her brother Finn’s death, Honor receives his last letter from Iraq. Devastated, she interprets his note as a final request and spontaneously sets off to California to fulfill it. At the last minute, she’s joined by Rusty, Finn’s former best friend. Rusty is the last person Honor wants to be with—he’s cocky and obnoxious, just like Honor remembers, and she hasn’t forgiven him for turning his back on Finn when he enlisted. But as they cover the dusty miles together in Finn’s beloved 1967 Chevy Impala, long-held resentments begin to fade, and Honor and Rusty struggle to come to terms with the loss they share. As their memories of Finn merge to create a new portrait, Honor’s eyes are opened to a side of her brother she never knew—a side that shows her the true meaning of love and sacrifice.
Author: Robert M. Sapolsky
Publisher: Simon and Schuster
ISBN: 1416590366
Category : Nature
Languages : en
Pages : 310
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Book Description
In the tradition of Jane Goodall and Dian Fossey, Robert Sapolsky, a foremost science writer and recipient of a MacArthur Genius Grant, tells the mesmerizing story of his twenty-one years in remote Kenya with a troop of savanna baboons. "I had never planned to become a savanna baboon when I grew up; instead, I had always assumed I would become a mountain gorilla,” writes Robert Sapolsky in this witty and riveting chronicle of a scientist’s coming-of-age in Africa. An exhilarating account of Sapolsky’s twenty-one-year study of a troop of rambunctious baboons in Kenya, A Primate’s Memoir interweaves serious scientific observations with wry commentary about the challenges and pleasures of living in the wilds of the Serengeti—for man and beast alike. Over two decades, Sapolsky survives culinary atrocities, gunpoint encounters, and a surreal kidnapping, while witnessing the encroachment of the tourist mentality on Africa. As he conducts unprecedented physiological research on wild primates, he becomes enamored of his subjects—unique and compelling characters in their own right—and he returns to them summer after summer, until tragedy finally prevents him. By turns hilarious and poignant, A Primate’s Memoir is a magnum opus from one of our foremost science writers.
Author: Hector Cuesta
Publisher: Packt Publishing Ltd
ISBN: 1785286668
Category : Computers
Languages : en
Pages : 330
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Book Description
A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images A hands-on guide to understanding the nature of data and how to turn it into insight Who This Book Is For This book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed. What You Will Learn Acquire, format, and visualize your data Build an image-similarity search engine Generate meaningful visualizations anyone can understand Get started with analyzing social network graphs Find out how to implement sentiment text analysis Install data analysis tools such as Pandas, MongoDB, and Apache Spark Get to grips with Apache Spark Implement machine learning algorithms such as classification or forecasting In Detail Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you'll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark. Style and approach This is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data.
Author: Mark Holmes
Publisher: The Rosen Publishing Group, Inc
ISBN: 1448892163
Category : Juvenile Nonfiction
Languages : en
Pages : 170
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Book Description
The Chevrolet Corvette; the Dodge Coronet; the Ford GTthey're names that send a shiver down the spine of true car enthusiasts. With big V8 engines crammed into mid-sized shells, they ripped up the roads on their way out of Detroit as they roared onto the market and into the awaiting arms of the power-hungry public. Readers discover which is the most powerful muscle car ever made and what nearly led to their extinction in the '70s, as well as learning which of their 21st century descendants should be purchased today. Readers discover all this and more with beautifully laid-out, detailed profiles of the best muscle carstheir facts, stats, and great stories from behind the scenes.
Author: Mark Grover
Publisher: "O'Reilly Media, Inc."
ISBN: 1491900075
Category : Computers
Languages : en
Pages : 399
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Book Description
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
