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Steps for better utilization of data

It’s really fascinating to see how we are generating an incredible amount of data every minute. Plenty of blogs and articles have been written stating that the better utilization of this data may result in more profit generation for the organization. So here are some tips to begin with the path of better utilization.

Currently what most of the organizations see is they are Creating data, and they want to generate some additional revenue from it, but they miss how to link these two aspects. 

To begin with, they must consider to use the Big Data Engines like Hadoop, Google Bigdata, Horton Works, MongoDB or anything similar. They help to find the patterns and correlations between different types of data.

Next is Data Warehousing. Data warehousing is not just maintaining a database. It has many advantages over the traditional databases. 

And another important step is Data Visualization. From the above two steps we have the data properly managed and organized. In this step we visualize the data in a productive manner.

Read More at https://www.informationweek.com/big-data/real-world-tools-to-help-navigate-a-data-driven-world/a/d-id/1332377?

 

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Big data is good for database

Mention database and what all things will come to your mind? Data management, storage, tables, RDBMS… But this trend is changing. The reason for the change is big data. Data has become so big that conventional methods and tools are not enough to manage this data. So what to do? We need some database technologies which can deal with big data. Hadoop is the most popular technology which can tackle big data. It is a data-centric platform which is highly scalable and used to run applications in parallel. Another alternative to RDBMS is the use of NoSQL platforms like MongoDB. Read the full article here: http://www.infoworld.com/article/3003647/database/how-big-data-is-changing-the-database-landscape-for-good.html

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New MongoDB Instances on Microsoft Azure!

There is a huge demand for production ready MongoLab plans on Microsoft Azure. The MongoLab and Microsoft are excited about their latest high-memory MongoDB database plans with virtual machine options that can immediately supply up to 56GB of RAM per node. These will be available in all eight Microsoft Azure data centres worldwide, which will be able to fulfil the massive need.The cloud-served MongoDB instances come from MongoLab, a fully managed database service provider that works with major cloud platforms such as those provided by Amazon and Google. Along with the new memory capacity, the service also provides management tools for backups, performance monitoring of key metrics, analysis to speed up queries and index recommendations. Support is also provided via e-mail or an around-the-clock emergency hotline, depending on the plan.

To read more, visit the following link:

http://blogs.msdn.com/b/windowsazure/archive/2014/04/22/announcing-new-mongodb-instances-on-microsoft-azure.aspx

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