Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-consuming task. This handy cookbook provides dozens of ready-to-use recipes for using Apache Sqoop, the command-line interface application that optimizes data transfers between relational databases and Hadoop.
Sqoop is both powerful and bewildering, but with this cookbook’s problem-solution-discussion format, you’ll quickly learn how to deploy and then apply Sqoop in your environment. The authors provide MySQL, Oracle, and PostgreSQL database examples on GitHub that you can easily adapt for SQL Server, Netezza, Teradata, or other relational systems.
Transfer data from a single database table into your Hadoop ecosystem
Keep table data and Hadoop in sync by importing data incrementally
Import data from more than one database table
Customize transferred data by calling various database functions
Export generated, processed, or backed-up data from Hadoop to your database
Run Sqoop within Oozie, Hadoop’s specialized workflow scheduler
Load data into Hadoop’s data warehouse (Hive) or database (HBase)
Handle installation, connection, and syntax issues common to specific database vendors
發表於2024-12-25
Apache Sqoop Cookbook 2024 pdf epub mobi 電子書 下載
圖書標籤: sqoop hadoop Hadoop Programming 英文原版 數據分析 tech rdbms
一問一答得方式解決問題,十分簡短,個人覺得相當不錯。
評分一問一答得方式解決問題,十分簡短,個人覺得相當不錯。
評分一問一答得方式解決問題,十分簡短,個人覺得相當不錯。
評分要是能有API編程的相關內容就更好瞭
評分一問一答得方式解決問題,十分簡短,個人覺得相當不錯。
Apache Sqoop Cookbook 2024 pdf epub mobi 電子書 下載