文件名称：Apache Sqoop Cookbook
文件大小：2.38MB
文件格式：PDF
更新时间：2021-10-12 06:36:38
database
Relational database systems often store valuable data in a company. If made available, that data can be managed and processed by Apache Hadoop, which is fast becoming the standard for big data processing. Several relational database vendors championed de‐ veloping integration with Hadoop within one or more of their products. Transferring data to and from relational databases is challenging and laborious. Because data transfer requires careful handling, Apache Sqoop, short for “SQL to Hadoop,” was created to perform bidirectional data transfer between Hadoop and almost any external structured datastore. Taking advantage of MapReduce, Hadoop’s execution engine, Sqoop performs the transfers in a parallel manner.