SQL到Hadoop和回来,第2部分:LeveragingHBase和Hive
SQL to Hadoop and back again, Part 2: LeveragingHBase and Hive
关键词:数据存储;交换;空间;大数据
摘 要:"Big data" is a term that has been used regularly now for almost a decade, and it — alongwith technologies like NoSQL — are seen as the replacements for the long-successfulRDBMS solutions that use SQL. Today, DB2?, Oracle, Microsoft? SQL Server MySQL, andPostgreSQL dominate the SQL space and still make up a considerable proportion of the overallmarket. Here in Part 2, we will concentrate on how to use HBase and Hive for exchanging datawith your SQL data stores. From the outside, the two systems seem to be largely similar, butthe systems have very different goals and aims. Let's start by looking at how the two systemsdiffer and how we can take advantage of that in our big data requirements.