SQL By Example (2017) azw3下载

PIPI_333 2018-06-15 09:00:02

An introduction to SQL for the absolute beginner. Learn how to create and query databases, add and remove data from tables, set constraints, create stored procedures, and more
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An introduction to SQL for the absolute beginner. Learn how to create and query databases, add and remove data from tables, set constraints, create stored procedures, and more

Learning Apache Spark 2 by Muhammad Asif Abbasi English | 6 Jun. 2017 | ASIN: B01M7RO7US | 356 Pages | AZW3 | 16.22 MB Key Features Exclusive guide that covers how to get up and running with fast data processing using Apache Spark Explore and exploit various possibilities with Apache Spark using real-world use cases in this book Want to perform efficient data processing at real time? This book will be your one-stop solution. Book Description Spark juggernaut keeps on rolling and getting more and more momentum each day. The core challenge are they key capabilities in Spark (Spark SQL, Spark Streaming, Spark ML, Spark R, Graph X) etc. Having understood the key capabilities, it is important to understand how Spark can be used, in terms of being installed as a Standalone framework or as a part of existing Hadoop installation and configuring with Yarn and Mesos. The next part of the journey after installation is using key components, APIs, Clustering, machine learning APIs, data pipelines, parallel programming. It is important to understand why each framework component is key, how widely it is being used, its stability and pertinent use cases. Once we understand the individual components, we will take a couple of real life advanced analytics examples like: Building a Recommendation system Predicting customer churn The objective of these real life examples is to give the reader confidence of using Spark for real-world problems. What you will learn Overview Big Data Analytics and its importance for organizations and data professionals. Delve into Spark to see how it is different from existing processing platforms Understand the intricacies of various file formats, and how to process them with Apache Spark. Realize how to deploy Spark with YARN, MESOS or a Stand-alone cluster manager. Learn the concepts of Spark SQL, SchemaRDD, Caching, Spark UDFs and working with Hive and Parquet file formats Understand the architecture of Spark MLLib while discussing some of the

阿里在3月初开源了yugong,该项目使用纯Java开发，主要作用是进行数据库迁移，目前该项目主要支持从oracle数据库向Mysql和DRDS数据库进行迁移。刚好最近有相关需求，所以尝试了一把yugong,以下是...

在本章中，我们向您展示了如何使用您的 Linux 主机作为具有 SQL 支持的灵活的 web 服务器，以及如何通过安装 web 服务来利用这一点。创建和管理虚拟网站通过模块向 Apache 添加功能基于主机名或用户名和密码控制对站点的访问创建和管理 MariaDB 数据库和用户安装和配置第三方 web 应用程序配置 web 代理以节省带宽成本并提高速度在下一章，我们将看看如何设置我们的邮件服务器。见。

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