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Going from Developer to CEO: Chronosphere

The Pragmatic Engineer

Then, I joined a startup that tried to beat Facebook, and become the #1 social media company in Australia, around 2007. They called it Office 365, and in 2010, this was a really exciting project to work on. I wrote code for drivers on Windows, and started to put a basic observability system in place.

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Brief History of Data Engineering

Jesse Anderson

Google looked over the expanse of the growing internet and realized they’d need scalable systems. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly. Apache HBase came in 2007, and Apache Cassandra came in 2008. We lacked a scalable pub/sub system.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

The Dawn of Telco Big Data: 2007-2012. Increasingly, skunkworks data science projects based on open source technologies began to spring up in different departments, and as one CIO said to me at the time ‘every department had become a data science department!’ Let’s examine how we got here.

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Data News — Week 23.17

Christophe Blefari

I managed to move forward with my client projects this week and it also feels relieving. So I'm pretty happy, sun and great projects 🙂 Regarding the content, if you are in Paris on May 9th, we are organising the Paris Airflow Meetup in Algolia offices, it will be in English so you don't have any excuses not to come.

SQL 100
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Top Companies for Software Engineers 2023

Knowledge Hut

In addition to engineering, software engineers often have experience in computer programming , project management, and user experience. Clir Renewables Clir Renewables is a Canadian company that specializes in the development, construction, and operation of renewable energy projects. They also have a cloud storage service.

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Rebuilding Netflix Video Processing Pipeline with Microservices

Netflix Tech

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. This architecture shift greatly reduced the processing latency and increased system resiliency. Over the years, the system expanded to support various new use cases. This introductory blog focuses on an overview of our journey.

Process 96
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10 Real World Data Science Case Studies Projects with Example

ProjectPro

The supply chain management system determines the optimum fulfillment center based on distance and inventory levels for every order. Here is a link to a sales prediction project to help you understand the applications of Data Science in the real world. This Bin Packing problem is a classic NP-Hard problem familiar to data scientists.