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Paying down tech debt: further learnings

The Pragmatic Engineer

In the early 90’s, DOS programs like the ones my company made had its own Text UI screen rendering system. This rendering system was easy for me to understand, even on day one. Our rendering system was very memory inefficient, but that could be fixed. By doing so, I got to see every screen of the system.

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Complying with Quebec’s Data Privacy Laws Is Easier with the Data Cloud

Snowflake

The Personal Information Protection and Electronic Documents Act (PIPEDA) went into full effect on January 1, 2004, governing the way Canadian businesses use and disclose personal information. Many customers evaluating how to protect personal information and minimize access to data look specifically to data governance in Snowflake features.

Cloud 100
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Is Aws Certification Worth It?

Knowledge Hut

Since its launch in 2004, AWS has helped businesses replace high infrastructure cost with low variable expenses. It allows businesses to quickly access thousands of virtual servers through the cloud in a matter of minutes. The widespread locations ensure a robust and secure system.

AWS 98
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How to design a dbt model from scratch

Towards Data Science

However, the most influential source I found when thinking about this problem was the System Engineering Heuristics  — a set of truisms about working on a complex problem with many stakeholders [4]: Don’t assume that the original statement of the problem is necessarily the best, or even the right one. Systems Enegineering Heuristics.”

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UFT/QTP Vs Selenium : What are the differences you should know?

Knowledge Hut

Test Execution Performance It requires more system resources. Selenium requires fewer system resources and can be used in Windows or Linux VM. Selenium Jason Huggins developed Selenium in 2004 at ThoughtWorks in Chicago. Selenium can control only the visible area of the browser where the web page is loaded.

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Evolution of the Cloud Data Platform: From Google to Ascend

Ascend.io

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. I’ve had the good fortune to work at or start companies that were breaking new ground.

Cloud 52
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Evolution of the Cloud Data Platform: From Google to Ascend

Ascend.io

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. I’ve had the good fortune to work at or start companies that were breaking new ground.

Cloud 52