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Paying down tech debt: further learnings

The Pragmatic Engineer

In 2004, I was hired by ISO-NE, a non-profit that manages the electric grid in New England. These scripts mixed database access, HTML generation, and logic in unexpected ways. I was hired to rewrite it as a clean Java-based system, and brought in for my experience with the legacy languages and J2EE. It was a mess!

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How to Learn Scala for Data Engineering?

ProjectPro

Scala is 10x faster than Python , produces a smaller code size than Java, gives more robust programming capabilities than C++, and combines the advantages of two major programming paradigms, making it unique from several other programming languages. Scala is a general-purpose programming language released in 2004 as an improvement over Java.

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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.

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

Knowledge Hut

Supported Languages VBS( Visual Basic Script) Java, C#, Ruby, Python, Perl PHP, Javascript, R etc. Selenium Jason Huggins developed Selenium in 2004 at ThoughtWorks in Chicago. Both require knowledge of Java, but UFT also involves a proprietary scripting language called VBScript.

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Intersection and Union types with Java and Scala by Magnus Smith

Scott Logic

Previous posts have looked at Algebraic Data Types with Java Variance, Phantom and Existential types in Java and Scala Intersection and Union Types with Java and Scala One of the difficult things for modern programming languages to get right is around providing flexibility when it comes to expressing complex relationships.

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Top 15 Data Analysis Tools To Become a Data Wizard in 2025

ProjectPro

more accessible. Businesses can benefit significantly from the tool as they can access all of the company's data assets with Power BI since it combines data from several sources. The raw data will be arranged in an accessible manner by a successful Excel spreadsheet, making it simpler to get actionable insights.

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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.

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