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This blog was first published on Forbes. With the World Cup upon us, it’s an apt time to draw inspiration from soccer. In 1950, Charles Reep, an accountant, attended every game of the Swindon Town soccer team’s season, tracking events and recording statistics. He analyzed his data and concluded that long passes were the most effective way...

The post Five Things Soccer Analytics Teaches Us About Data Lakes appeared first on Arcadia Data.

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Originally posted here. The New Iron Triangle It is cliché to discuss IT/business solutions as people, process, and technology. Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Since the 1960s, technology has disrupted business through the advent of computing and information management. These systems replaced...

The post The Data Science Iron Triangle – Modern BI and Machine Learning appeared first on Arcadia Data.

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Originally posted on Medium. Before I dig into Confluent KSQL, Apache Kafka, and Spark Streaming let’s first take a look at what ‘streaming’ is and why it is so valuable. Data streaming is a continuous generation of lightweight messages, typically in kilobytes, from potentially many different data sources. It can be from a variety of...

The post Data Has Time Value: Winners Exploit Data Streaming Now! Not Later! appeared first on Arcadia Data.

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If you’ve been paying attention to trends around Apache Hadoop, data lakes, big data analytics, and the cloud, you’ve probably noticed the see-saw hype around each of these. In 2012, there was no end in sight to what Hadoop could do, and organizations were beginning to build data lakes to augment or replace data warehouses...

The post Three Surprises about Data Lakes, Hadoop, and the Cloud appeared first on Arcadia Data.

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I recently participated in a webinar hosted by DBTA titled, Unlocking the Power of the Data Lake, where one of the audience members asked, “will data lakes be replacing Hadoop in the future”? I think the three speakers sufficiently answered the question on the webinar, but considering that many others might have similar questions, I...

The post What’s the Difference between Hadoop and a Data Lake appeared first on Arcadia Data.

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Introduction DFAST and CCAR require bank holding companies to report, in detail, how they would respond to hypothetical market scenarios that represent macroeconomic shocks like a housing meltdown or a stock market crash. The data used by each company to predict losses and create a response plan must be actual data, not approximated.  Using the...

The post Hypothetical to Actionable: From CCAR to CRE Market Factors appeared first on Arcadia Data.

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Would you try to ski down a mountain with water skis?  Would you try to ski on a lake with snow skis? After all, they are both skis, right?  I’m sure whether you’re a snow skier, water skier, or both, your answer is “no”. Why?  Although similar, they are both architected differently. Snow skis are...

The post When is Architecture Important for BI on Big Data? When it Saves You Experts, Money and Time appeared first on Arcadia Data.

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A data lake was initially described as a storage system that held a very large amount of data in its original format until required. Originally the term data lake was synonymous with Apache Hadoop. Apache Hadoop enabled organizations to both store and compute data on commodity hardware. Apache Hadoop was a place where you had...

The post Five Classes of Use Cases for the Data Lake appeared first on Arcadia Data.

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Superheroes are supernatural characters, many of whom have superhuman powers like flight, x-ray vision, or indestructibility. Some are mortals with loads of resources that enable them to create armored suits, amazing vehicles, and powered gadgets that give them superhuman capabilities. They are usually the protagonist in the story, and their goal is to protect the...

The post Superheroes? Or Just the Best Women in Tech! appeared first on Arcadia Data.

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There is no excerpt because this is a protected post.

The post Protected: Alternative Data Strategy: How and Why appeared first on Arcadia Data.

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