Data Archives - Red Pill Analytics

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Using Oracle’s Baseline Validation Tool with OBIEE — Part 4

This post is part 4 of 4 about using the Baseline Validation Tool (BVT) with Oracle Business Intelligence (OBIEE). The previous posts are: Post 1: An intro to BVT Post 2: Setting up BVT Post 3: Running the Tests Interpreting the BVT Results As described in my third post in this series, here’s how to […]

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Business Intelligence, Code, Data, OBIEE, Software Testing, Technical Tutorials

What’s the Big Deal with Big Data?

What HBR’s Winter 2017 OnPoint Tells Us About Business & Data It was a November evening that I was at the grocery store, waiting in the line to check out when I saw the latest issue of Harvard Business Review’s OnPoint publication. For those that are unaware, OnPoint is a seasonal publication that focuses on a particular

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Big Data, Data

Lookering at Version Control

If you follow Red Pill Analytics at all, you know that we have our hands in a bit of everything when it comes to data and analytics; having the opportunity to work with various tools and technologies is one of the many benefits to working at RPA. One particular tool that we have found ourselves

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Cloud Computing, Data, Git, Looker, Version Control

The Good, The Bad, and the Gorgeous

Some tips, tricks and thoughts on using Google Data Studio Red Pill Analytics recently delivered a solution that exclusively used Google Cloud Platform. Our client, a marketing team at Google, wanted to know how they were engaging with users across several online channels. We used Google Analytics, YouTube Analytics, AdWords, among other sources via BigQuery to

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Big Data, Cloud, Data, Data Visualization, Google Cloud Platform

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Bulk Loading Zone

Whether it’s an enterprise application, the automobile you drive, or your favorite tea kettle, seemingly everything in the world today produces data. This results in a need to transfer data to a place where people and technology can make sense of it. Typically, the faster data can be transferred and more data that can be

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AWS, Cloud Computing, Data, Snowflake Computing

Supply, Demand and Data

In my last blog post, I discussed how I think that the way most people talk about BI and analytics is incorrect, how data is fluid, and some of the biggest issues I see when helping clients. I’m going to continue that discussion in this blog post, but pivot the conversation from what is wrong

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Data, Data Science