The most widely known know-how used for Large
Knowledge is Hadoop. It is used by Yahoo, eBay, LinkedIn & Facebook. It's
been inspired from Google publications on Map Reduce, Google FS & Bigtable.
As Hadoop can be hosted on commodity hardware (usually Intel PC on Linux with
or two CPU & a few TB on HDD, without any RAID replication know-how), it
lets them store giant quantity of knowledge ( petabytes or even more) at very
low cost (compared to SAN bay systems).Online Hadoop Training
Where did Hadoop come from:
The underlying know-how was invented by Google back
in their earlier days so they could usefully index all the rich textural &
structural knowledge they were collecting, & then present significant &
actionable results to users. There was nothing on the market that would let
them do that, so they built their own platform. Google âs innovations were
incorporated in to Nutch, an open source project, & Hadoop was later
spun-off from that. Yahoo has played a key role developing Hadoop for
enterprise applications. Hadoop Online Training.
What issues can Hadoop solve:
The Hadoop platform was designed to solve issues
where you have plenty of knowledge â perhaps a combination of complex &
structured knowledge â & it does not fit nicely in to tables. It âs for
situations where you need to run analytics that are deep & computationally
extensive, like clustering & targeting. That âs exactly what Google was doing
when it was indexing the World Wide Web & examining user behavior to
improve performance algorithms.
Hadoop applies to a bunch of markets. In finance, in
case you need to do correct portfolio evaluation & risk analysis, you can
build sophisticated models that are hard to jam in to a database engine. But
Hadoop can handle it. In online retail, in case you need to deliver better
search answers to your customers.
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