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Fundrise CTO: New SQL Tools Lead to ‘Wonderfully Seamless Solutions’

The Startup Magazine

For Kenny Shin , the chief technology officer of direct-to-consumer alternative asset management company Fundrise, some of the most exciting technological advancements in recent years have been in structured query language tools. What Is SQL?

SQL 121
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Oppose HB 1192 – The “Software Tax”

VC Adventure

I grew up on a family potato farm in SE Idaho and I have a PhD in Engineering from Stanford (also known as The Farm). I have been in the technology industry for 30+ years. I serve as adjunct faculty at the University of Denver, where I head up a graduate program division in healthcare information technology within University College.

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Amazon Redshift Too Slow or Crashing? BlazingDB Performs

Austin Startup

Massive Scale with Unprecedented Speed BlazingDB offers a massively distributed, “cloud first”, high performance SQL database that achieves performance gains on the largest workloads and datasets at extraordinarily competitive costs. The team maintains a development office in Lima, Peru which brings incredible talent and energy.

Peru 58
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CEO Friday: Why we don’t hire.NET programmers

blog.expensify.com

If someone comes to you with Ruby on Rails experience, do you assume they are ignorant of SQL? I am the VP of Engineering at a cutting-edge startup that sells software built on the.NET platform. I learned C# and.NET (along with HTML/CSS/JS/SQL/etc) because that’s what they used. March 25, 2011 at 2:27 pm. Matt Sherman.

Java 107
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How to hire a programmer to make your ideas happen

sivers.org

Youll estimate time and cost better. I had a look at the source code, and it was chock-full of SQL injection vulnerabilities. Nothing essential that I disagree with you in your post, but when read by other people with minimal software engineering experience, they can have too high expectations. in a short period of time.

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Predictive Analytics in 2018: What’s Possible, Who’s Doing It, and How

ConversionXL

In 2009, Netflix offered $1 million to anyone who could improve the quality of its recommendation engine by 10%. As it turned out , the enhanced algorithms “did not seem to justify the engineering effort needed to bring them into a production environment.”. It took two years, but a team finally won. A world of real-time predictions.

Analytics 131