High-Performance Analytics with Hbase,Phoenix هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

HBase is a distributed column-oriented database built on top of the Hadoop file system. It is an open-source project and is horizontally scalable. HBase is a data model that is similar to Google's big table designed to provide quick random access to huge amounts of unstructured data. It leverages the fault tolerance provided by the Hadoop File System (HDFS).

The components of HBase data model consist of tables, rows, column families, columns, cells and versions. Tables are like logical collection of rows stored in separate partitions. A row is one instance of data in a table and is identified by a rowkey. Data in a row are grouped together as Column Families. Each Column Family has one or more Columns and these Columns in a family are stored together. Column Families form the basic unit of physical storage, hence it's important that proper care be taken when designing Column Families in table. A Column is identified by a Column Qualifier that consists of the Column Family name concatenated with the Column name using a colon. A Cell stores data and is essentially a unique combination of rowkey, Column Family and the Column (Column Qualifier). The data stored in a cell is versioned and versions of data are identified by the timestamp