Big Data & Digital Marketing
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Big Data & Digital Marketing
Data analytics as the key to know your customers and offer them what they really want.
Curated by Luca Naso
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Cloud computing is going to absorb your big data workloads, too

Cloud computing is going to absorb your big data workloads, too | Big Data & Digital Marketing | Scoop.it
There has been a spate of product announcements and integrations over the past few weeks signaling that many big data workloads — including, and especially, Hadoop — will soon be ready to run reliably in the cloud.
Luca Naso's insight:

I cannot think of any other place for Big Data but the cloud!

Amazon and Microsoft are clear leaders at the moment, but there is a lot of movements and Oracle might well catch up.

My Hadoop clusters have always been running on the cloud and will always be (I am currently using HDInsight on Azure).

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How to realize Big Data Real-time Application on Database

How to realize Big Data Real-time Application on Database | Big Data & Digital Marketing | Scoop.it
The Big Data Real-time Application is a scenario to return the computation and analysis results in real time even if there are huge amount of data.
Luca Naso's insight:

In recent years, due to the data explosion, and the more and more diversified and complex application, new changes occur to the database system:


1st challenge: real-timeness
2nd challenge: cost
3rd challenge: database appplication
4th challenge: database management

 

esProc, by  Raqsoft, is a new Big Data computing solution that claims to solve all of the issues at once.

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Marketing of the Future - digital proximity marketing

Marketing of the Future - digital proximity marketing | Big Data & Digital Marketing | Scoop.it

How to develop a digital model that can manage dynamic, bidirectional and omnichannel communication, within digital marketing and proximity marketing?

Luca Naso's insight:

First article in a series of 3 about Digital Proximity Marketing.

 

Very good reading for those interested in building models to improving customer experience, within the context of Omnichannel and Digital Communication.

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Hadoop Alternatives: When Your Data Isn't as Big as You Thought

This post from Chris Stuccio's blog takes a critical look at the use of Hadoop and Big Data as buzzwords by asking an interesting question: What if your data isn't as big as you think?

Luca Naso's insight:

Hadoop works well with Big Data, but really Big data.

Before diving yourself into Hadoop check whether you really need it or maybe your data isn't that Big.

 

Here you can find solutions for datasets of a variety of sizes:

1. Hundreds of megabytes

2. Ten-ish gigabytes

3. A couple of terabytes

4. Five terabytes and larger

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