Tag: data analytics

Top Business Drivers for Analytics Programs: Part Two

Anyone who’s been on a road trip has heard this question. It usually comes from the backseat of the car, where it can be difficult to see the route ahead, and near-impossible to judge progress. For those tasked with managing…

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Accelerating Your Analytics Journey: Part One

Data. According to Merriam Webster, data is “information in digital form that can be transmitted or processed.” Sounds simple. Sounds like something that’s everywhere. However, smart, influential business leaders will tell you data is important. It’s powerful. It’s a key…

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Defining “real-time’ or ‘streaming’ analytics and its use cases

This is the first in a series on real-time or streaming data analytics best practices, including terminology, system design and examples of real-world success. In this initial post, we’ll focus on terminology and possible use cases. When launching a multi-part…

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Top big data analytics trends hold true as we look toward 2020

The overall importance of data and information within organizations has continued to grow. We’ve also seen the continued rise of megatrends like IoT, big data – even too much data – and of course, machine learning. That’s along with the…

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An Oracle-based approach to the “taxi fare” prediction problem – episode 2

This is the second part of the series on the Taxi Fare prediction problem from an Oracle perspective. You can read Episode 1 here. In this Episode, I will put our model to work. That is, I will show several…

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How to get cloud analytics costs under control

Big data analytics can potentially cost big money. But being reactive instead of proactive about optimizing your analytics in the cloud can, unfortunately, cost you even more money. This may sound obvious, but making the right decisions when configuring your…

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Why your data hub belongs in the cloud

Whether your core infrastructure is on-prem or in the cloud, there’s only one choice for your data hub
The public cloud effectively provides you with three options:  Infrastructure as a Service, Platform as a Service or Software as a Service. And with IaaS, people often face the choice of “rent vs buy”.

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The Natural Evolution of Data Warehousing—Where We Are Today

It’s a fact that technology is always evolving—rapidly. What’s new and hot today, may be old news and on its way to becoming obsolete tomorrow. Traditional data warehousing is no exception. We have been seeing that the old school data…

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Video: Make data part of your company’s DNA with Kick AaaS

Wouldn’t your job be a lot easier if you could overcome data silos to get better insights on everything from operational efficiency, to marketing performance, to your customers’ experience? What if you could gather enough data in one place for…

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Realizing the love your data vision

A dispatch from the Love Your Data conference 2017, NY When we first came up with Pythian’s Love Your Data tagline years ago, it was emblematic of the core value we delivered to customers. We were well established as a…

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