› › Getting Started With Impala

Getting Started with Impala

Author : John Russell

Publisher : "O'Reilly Media, Inc."

Page : 152 pages

File Size : 37,96 MB

Release : 2014-09-25

Category : Computers

ISBN : 1491905743

Get eBook

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



Getting Started with Big Data Query using Apache Impala

Author : Agus Kurniawan

Publisher : PE Press

Page : 92 pages

File Size : 43,82 MB

Release : 2021-02-06

Category : Computers

ISBN :

Get eBook

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



Getting Started with Impala

Author : John Russell

Publisher : "O'Reilly Media, Inc."

Page : 203 pages

File Size : 30,12 MB

Release : 2014-09-25

Category : Computers

ISBN : 1491905727

Get eBook

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



Getting Started with Kudu

Author : Jean-Marc Spaggiari

Publisher : "O'Reilly Media, Inc."

Page : 158 pages

File Size : 11,88 MB

Release : 2018-07-09

Category : Computers

ISBN : 1491980206

Get eBook

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



Getting Started with Impala

Author : John Russell

Publisher :

Page : pages

File Size : 12,35 MB

Release : 2014

Category : Apache Hadoop

ISBN : 9781491905760

Get eBook

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.



Practical Data Analysis

Author : Hector Cuesta

Publisher : Packt Publishing Ltd

Page : 330 pages

File Size : 50,19 MB

Release : 2016-09-30

Category : Computers

ISBN : 1785286668

Get eBook

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.



Muscle Cars

Author : Mark Holmes

Publisher : The Rosen Publishing Group, Inc

Page : 170 pages

File Size : 42,93 MB

Release : 2012-12-15

Category : Juvenile Nonfiction

ISBN : 1448892163

Get eBook

Book Description

The Chevrolet Corvette; the Dodge Coronet; the Ford GT—they'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 cars—their facts, stats, and great stories from behind the scenes.



Hadoop Application Architectures

Author : Mark Grover

Publisher : "O'Reilly Media, Inc."

Page : 399 pages

File Size : 17,64 MB

Release : 2015-06-30

Category : Computers

ISBN : 1491900075

Get eBook

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



Popular Mechanics

Author :

Publisher :

Page : 250 pages

File Size : 15,19 MB

Release : 1967-05

Category :

ISBN :

Get eBook

Book Description

Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle.



Rise of the Monarchs

Author : Ethan Mathers and Pierce Keller

Publisher : Page Publishing Inc

Page : 120 pages

File Size : 33,32 MB

Release : 2017-05-08

Category : Young Adult Fiction

ISBN : 1635682363

Get eBook

Book Description

The year is 2056. The PearceanMark Empire rules most of North America. The French Imperium rules Europe, most of Asia, and the northern half of Africa. When Puerto Rico declares war against both, the two monarchs must join forces. But with conflicting ideologies between the two monarchies, how long will the alliance last?