The Importance of a Modern Cloud Platform Foundation: Part Four

As with any journey, having a good roadmap and a well-tuned vehicle make for a smoother trip. For an analytics program, the engine for success comes from a modern data platform. Today, this almost always means a cloud-based solution and…

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The Four Stages of Analytics Maturity: Part Three

Once you’ve established your destination, it’s time to hit the road. An organization’s analytic journey typically progresses through four stages of maturity, as follows: See: Deliver insights on where the business is today and was historically. Predict: Project future scenarios…

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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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How to Deploy Machine Learning on Google Cloud Platform

Editor’s Note: Because our bloggers have lots of useful tips, every now and then we update and bring forward a popular post from the past. Today’s post was originally published on August 15, 2019. In this post, I’ll describe a…

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Dipping Your Toes Into Building an Analytics Platform on Google Cloud Platform

“We have many disparate data sources and we’re having a hard time getting a global view of all our data across our organization.” “Our data is currently all in <enter data warehouse name here> and we want to migrate it…

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Global Analytics with Azure Cosmos Db and Synapse Analytics – SQL On The Edge Episode 21

A few months ago, Microsoft revealed that they were looking into adding a capability of querying Cosmos Db data through Spark and this immediately got me thinking into the new scenarios this would enable. The most ambitious is the capability…

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The Shift in Top Big Data Analytics Trends for 2020

The Shift in Top Big Data Analytics Trends as We Enter 2020

In 2019, we forecasted and highlighted the top trends in big data analytics. Today we will be revisiting this topic to explore how the trends have progressed as time has evolved. As we dive deeper into the digital age, the…

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Making a business case for Machine Learning

The first step to kick off a Machine Learning (ML) project is to have a written proposition for the business problem, and second, to frame the ML problem. Before even discussing an ML method, it is necessary first to understand…

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An overview of best practices for implementing ML systems – Part 1

In this series of blog posts, we will recommend some best practices identified from our own failures and successes throughout our time implementing machine learning (ML) systems. We won’t discuss ML techniques here, but instead, provide an upper-level overview of…

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