Tag: data analytics

Switching to a new Google Cloud partner?

Blog 4: Switching to a new Google Cloud partner?.

Google wants to ensure that its customers are successful in the cloud. To do that, partners play a vital role, particularly in areas that require skilled expertise such as data analytics, artificial intelligence, Kubernetes and other emerging tech. That’s why…

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Datascape Episode 60: Data Strategy, Data Literacy, Monetization, and More with Joey Jablonski

datascape 60

Episode 60 Shownotes Welcome to another episode of the Datascape Podcast. VP of Analytics Joey Jablonski joins us to discuss data-related trends and challenges, as well as his 20+ year career in technology, including his time at the US Department…

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Data: A Strategic Asset Beyond Data

What can I do now that I couldn’t do before, or do better than I could before?   Today, most firms are busy building platforms and capabilities to process and manage massive amounts of data.  If we call this era…

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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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