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《HBase-NCHC.TW-2016》.pdf
HBase
Introduction and New Developments
Andrew Purtell
andrew_purtell@
apurtell@
Outline
● Big Data and Cloud Computing
● HBase Introduction
● New Features
● ACID Guarantees
● Multi Data Center Replication
● Security
● Coprocessors
● Wrap Up
Big Data and Cloud Computing
Big Data
Big Data defined
● Scale beyond the limits of conventional data storage
solutions today either in terms of capacity or of the
sustainable cost of the solution
● Trillions (10^12) of data items
● Petabytes (10^15 bytes) of data volume
● Google encountered Big Data in their operations and
devised architectural solutions for it, including BigTable
● BigTable is the inspiration for HBase
The Big Data Age
● According to one estimate, globally
the world created 150 exabytes of
data in 2005
● This year, the world may create
more than 1,500 exabytes of data
Medium Data
● “ What about Medium Data? We like to say that
Facebook doesn’t run Hadoop because it has a lot of
data, but that Facebook has a lot of data because it
runs Hadoop. Businesses that use Hadoop find that
keeping data is worthwhile because Hadoop helps
them process it in new ways.”
Mike Olson, CEO, Cloudera
/
● Many business, even small ones, during the course of
their normal operations can generate petabytes of
data per year
● If they retain it, they can mine it and gain insights
● Open source analytics enablers like the Hadoop
software ecosystem – of which HBase is a part –
make this an emerging reality
Cloud Computing
● Int
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