May 2017

All posts from May 2017

Rethinking the modern data warehouse: Passé or progressive?

by pm2net on May 15, 2017 , Comments Off on Rethinking the modern data warehouse: Passé or progressive?

It’s easy to be blinded (and impressed) with the rapid innovation and evolution in the arena of big data. Today’s most technically sophisticated companies have the opportunity to exploit big data tools to address mind-numbingly cool use cases and produce very enticing results. However, so many companies today still depend on the ideals and workflow (not to mention the sunken investment) of the traditional data warehouse.

Source: big data hub

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Sparking change: How analytics is helping global communities improve water security

by pm2net on May 11, 2017 , Comments Off on Sparking change: How analytics is helping global communities improve water security

Most of us are privileged enough to live in societies where clean water is a given. When our physicians and the media advise us to stay hydrated, it’s a simple health consideration. But in many countries, access to water is a huge issue – approximately one third of the world’s population does not have access to safe drinking water.

Source: big data hub

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Top 3 ways to measure the success of your analytics investment

by pm2net on May 9, 2017 , Comments Off on Top 3 ways to measure the success of your analytics investment

Line-of-business (LoB) stakeholders want to know that their analytics investment will help them make better, faster, and smarter decisions, with measurable business results. But for many, measuring success from applying Machine Learning and Decision Optimization is not obvious. Learn the top 3 factors to look at when evaluating these powerful technologies for your business decision-making process.

Source: big data hub

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Analytics and the cloud: The rise of open source

by pm2net on May 9, 2017 , Comments Off on Analytics and the cloud: The rise of open source

This is the fourth in a series of blogs on analytics and the cloud. Read our introduction to the series. This blog concerns itself with the rise of open source software and how it is used for a whole host of analytical purposes. However, as will be seen in this blog, there are significant gaps in open source capability in this space and may always will be.

Source: big data hub

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