DATABASE FUNDAMENTALS
BASICS OF BIG DATA
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Stores
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HMaster
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Region Server
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Cell
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Detailed explanation-1: -Cell – A cell is a combination of row, column family, and column qualifier, and contains a value and a timestamp, which represents the value’s version. A combination of row key, column family, and column qualifier uniquely identifies a cell. The data stored in a cell is referred to as that cell’s value.
Detailed explanation-2: -HBase is a column-oriented, non-relational database. This means that data is stored in individual columns, and indexed by a unique row key. This architecture allows for rapid retrieval of individual rows and columns and efficient scans over individual columns within a table.
Detailed explanation-3: -HBase is a column-oriented non-relational database management system that runs on top of Hadoop Distributed File System (HDFS). HBase provides a fault-tolerant way of storing sparse data sets, which are common in many big data use cases.
Detailed explanation-4: -HBase is a column-oriented database and the tables in it are sorted by row. The table schema defines only column families, which are the key value pairs. A table have multiple column families and each column family can have any number of columns. Subsequent column values are stored contiguously on the disk.
Detailed explanation-5: -What is HBase? HBase is modeled after Google’s Bigtable, which is a distributed storage system for structured data. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.