TOP TRENDS IN

BIG DATA AND ANALYTICS

FOR 2015

DATASECURITY

Big data and hadoop securityProtection is also about building brand

popularity and believe in. Strong securitymethods, such as the use of innovative

statistics abilities to handle security andcomfort difficulties, can set businessesapart from the competitors and create

comfort and confidence.

Datafication

Datafication is what happens whentechnological innovation shows formerly unseen

processes—which can then be monitored andenhanced. This isn’t a new pattern, but it’s

collecting rate as real-time functional statisticstechniques become available and the cost of

collecting information is continues to plummet.

Here and there, people have startedreferring to an unusual new idea: That

information should not only be handled asan resource but respected as one. Later on,experts and scientists say, companies willregularly generate income from their own

information for profit.

Data Monetization

Multipolar Analytics

The layer-cake best-practicedesign of analytics operational

techniques and externalinformation providing

information marts and ainformation factory, with BI

resources as the cherry on thequickly becoming outdated.

Community

Analytics is no more under themanagement of well-meaning main IT

dictatorships. As choices about ITinvesting progressively shift to sections,analytics tasks have to have the approval

of the governed—and this implies bigchanges to every part of analytics

company.

Analytic Ecosystems

In a sensible expansion ofdatafication within a company,

2015 will see more analyticsacross company systems,

assisting improve proceduresbetween the members of an

environment inHadoop Application software

Data Privacy

Information comfort rules andprocedures are now lag far

behind the power of availabletechnological innovation.

Serious violations have alreadycome to mild and there areprobably many others thathaven’t yet been exposed.

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