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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Big Data Discovery Is The Next Big Trend In Analytics

Big Data Discovery Is The Next Big Trend In Analytics | Big Data & Digital Marketing | Scoop.it
According to Gartner, "Big Data Discovery" is the next big trend in analytics. It's the logical combination of three of the hottest trends of the last few years in analytics: Big Data, Data Discovery, and Data Science.
Luca Naso's insight:

Another way to look at this is:

Since the market offers fewer data scientists than needed, new tools are being developed so that less experienced professionals can analyse data in a productive way.


Will this "Data Discovery" be an evolution of self-service BI that we see emerging today?


I think that Microsoft products such as Power BI, or Excel Power Query and Power Pivot, are worth mentioning in this context.

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Elías Manuel Sánchez Castañeda's curator insight, May 26, 2015 12:47 PM

In my case as consulting partner of a small business consulting I have no answer, but rather questions:
In my company to maintain or increase my level of competitiveness, I need to get started with Big Data and / or Data Discovered and / or Data science? Which of the three or two or three? How do I start?
If the answer is I do not need any of the three tools, well it all figured out. But if the answer is I need one, two or three, then the fun begins, because the first thing I learn is that they are, then how to use them in my business, then use them, finally measure whether there were benefits and if necessary make adjustments .
There is no doubt that the technologies of information and communication technologies (ICT) have made the profession of business an exciting journey.

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Learn About Microsoft's Hadoop Implementation - Free eBook

Learn About Microsoft's Hadoop Implementation - Free eBook | Big Data & Digital Marketing | Scoop.it
A new, free eBook, Introducing Microsoft Azure HDInsight, covers Microsoft's implementation of Big Data through Hadoop compliance.
Luca Naso's insight:

120 pages for professional programmers on how Microsoft is using Hadoop to dive into Big Data:

1. Intro to Big Data

2. Intro to HDInsight

3. Programmgin with HDInsight

4. HDInsight and Data

5. Customisation

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Microsoft's big data service available, after a year in preview

Microsoft's big data service available, after a year in preview | Big Data & Digital Marketing | Scoop.it
Windows Azure HDInsight Service lets customers to spin up Hadoop clusters in the cloud
Luca Naso's insight:

Good news for all Microsoft's Softwares users:


Standard Apache Hadoop is available as a service in Microsoft's Azure cloud, allowing to deploy and shut down Hadoop clusters easily.


Integration with the Microsoft data platform means that one can access and analyze data with PowerPivot, Power View and other Microsoft BI tools, like Microsoft SQL Server Analysis Services (SSAS).

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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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Big Data and SaaS: Is It a Match Made in Heaven?

Big Data and SaaS: Is It a Match Made in Heaven? | Big Data & Digital Marketing | Scoop.it
Familiar with SaaS? If not, let us give you a brief introduction. The easier spoken breakdown of Software-as-a-Service, SaaS is a distribution model that d
Luca Naso's insight:

With SaaS, many of the challenges associated with the traditional software distribution model are eliminated right off the bat, essentially making a big data deployment much less of a hassle to deal with.


In an SaaS arrangement, a service provider:

1. hosts the software and delivers it to you over the web.

2. handles all the grueling maintenance aspects that come along with it behind the scenes. 


Microsoft's Windows Azure HDInsight is the perfect example of such an application.


Right now, big data applications are limited in comparison to other fields, but there will surely be more variety available soon.

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