Skip to main content

Posts

Showing posts with the label Apache HIVE

Featured post

AWS EC2 Real Story on Elastic Cloud Computing

The short name for Amazon Elastic Computing Cloud is EC2. You can keep this point as an interview question. The computing capacity has an elastic property. Based on your requirement you can increase or decrease computing power.
You need to be very attentive when you enable Auto scaling feature. It is a responsibility on Admins. Amazon AWS EC2Making your existing hardware to the requirement, always is not so easy. So the EC2 feature in AWS helps you to allocate computing power according to your needs. AWS EC2 instance acts as your physical server.It has memory.You can increase the instance size in terms of CPU, Memory, Storage and GPU.EC2 auto scaling is a property, where it automatically increase your computing power. List of Top Security Features in EC2  1#. Virtual Private CloudThe responsibility of Virtual Private Cloud, is to safeguard each instance separately. That means, you cannot access others instance, which is already created by other organization.
2#. Network Access Control L…

Top Apache HIVE excellent built-in features for Big data

Apache Hive aids examination of great datasets kept in Hadoop’s HDFS and harmonious file setups such like Amazon S3 filesystem.

It delivers an SQL-like lingo named when keeping complete aid aimed at map/reduce. To accelerate requests, it delivers guides, containing bitmap guides.

By preset, Hive stores metadata in an implanted Apache Derby database, and different client/server databases like MySQL may optionally be applied.

Currently, there are 4 file setups maintained in Hive, that are TEXTFILE, SEQUENCE FILE, ORC and RCFILE.

Other attributes of Hive include:

Indexing to supply quickening, directory sort containing compacting and Bitmap directory as of 0.10, further directory kinds are designed.Different depository kinds such like simple written material, RCFile, HBase, ORC, and other ones.Metadata depository in an RDBMS, notably decreasing the time to accomplish verbal examines throughout request implementation.Operating on compressed information kept in to Hadoop environment, set of…