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NEW QUESTION: 1
You need a distributed, scalable, data Store that allows you random, realtime read/write access to hundreds of terabytes of data. Which of the following would you use?
A. Hive
B. Pig
C. Sqoop
D. Flume
E. HBase
F. Oozie
G. Hue
Answer: E
Explanation:
Use Apache HBase when you need random, realtime read/write access to your Big Data.
Note:This project's goal is the hosting of very large tables -- billions of rows X millions of columns
-atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned,
column-oriented store modeled after Google's Bigtable: A Distributed Storage System for
Structured Data by Chang et al. 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.
Features
Linear and modular scalability.
Strictly consistent reads and writes.
Automatic and configurable sharding of tables
Automatic failover support between RegionServers.
Convenient base classes for backing Hadoop MapReduce jobs with Apache HBase tables.
Easy to use Java API for client access.
Block cache and Bloom Filters for real-time queries.
Query predicate push down via server side Filters
Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data
encoding options
Extensible jruby-based (JIRB) shell
Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX
Reference:http://hbase.apache.org/(when would I use HBase? First sentence)
NEW QUESTION: 2
When large table is buffered and there is a condition such that you always have tospecify The full unique key of the table . which table gives better access.
A. Hashed table.
B. Sorted table.
C. Access table.
D. Standard table.
Answer: A
NEW QUESTION: 3
A. Option D
B. Option C
C. Option B
D. Option A
Answer: A,C