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The job market for new grads: worse than in 2008, but better than 2002

The Pragmatic Engineer

In what might be helpful, Chris started his career as a software engineer in the middle of the big downturn back in 2002 – known as the Dotcom Bust – and worked through the financial crisis in 2008. Here’s his take: 'This 2023 downturn now is far worse than 2008 but not nearly as bad as 2002, which felt apocalyptic.

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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

After reading that, you are likely to conclude that as AWS was launched in 2002 and is usually considered the easiest to learn, it is the best option. These are merely basic pointers that we have listed in brief. You must further explore AWS vs Azure and AWS vs GCP for a detailed analysis.

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15+ AWS Projects Ideas for Beginners to Practice in 2023

ProjectPro

Amazon Web Services was launched in July 2002 from the existing Amazon cloud platform with the initial purpose of managing online retail transactions. Orchestrate Redshift ETL using AWS Glue and Step Functions AWS Projects for Portfolio 17. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects.

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CMDB in ITIL: Tools, Uses and How Does It Works?

Knowledge Hut

The idea of looking at infrastructure through this lens started to gain steam in 2002, but it wasn't hot until about 2004-2006. By doing so, an organization can manage its assets in a portfolio instead of driving them one at a time. In what ways are they related and interconnected? What kind of service do they provide to the business?

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5 Different Types of Neural Networks

ProjectPro

Don’t worry, we’ve got you covered with some innovative Neural Network Project Ideas that will add great value to your data science or machine learning portfolio. References Gonzalez, R. C., & Woods, R. Digital image processing. H., & Hwang, J. Handbook of Neural Network Signal processing. Bengio, Y. &

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AWS vs GCP - Which One to Choose in 2023?

ProjectPro

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. AWS vs. Google Cloud - Machine Learning AWS and GCP offer cutting-edge machine learning tools from their portfolio that help develop, train, and test a machine learning model.

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