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Data Engineering Weekly #137

Data Engineering Weekly

This conference isn't just about talks - it's about collaboration, learning, and leading the way. link] BlaBlaCar: Scaling Data Teams- 5 Learnings from BlaBlaCar BlaBlaCar shares its lessons learned from 45 people team divided into six teams: 5 multidisciplinary squads and one platform-oriented team. See how it works today.

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Solving Data Discovery At Lyft

Data Engineering Podcast

And for your machine learning workloads, they just announced dedicated CPU instances. Summary Data is only valuable if you use it for something, and the first step is knowing that it is available. If you need global distribution, they’ve got that covered too with world-wide datacenters including new ones in Toronto and Mumbai.

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14 Best Database Certifications in 2023 to Boost Your Career

Knowledge Hut

As you learn and get more experience, you can then go for the more advanced certifications. Let’s learn more about the certifications. Systems evolved from simple to complex, and we had to split how we find data from where we store it. With these options, certifications to prove our skills has sprouted. Let’s begin!

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MongoDB vs DynamoDB Head-to-Head: Which Should You Choose?

Rockset

Two popular options are MongoDB and Amazon DynamoDB , and architects often find themselves choosing between the two. In this article, we’ll compare MongoDB and Amazon DynamoDB to each other and highlight their significant differences. Note: We have updated this post to reflect comments and corrections we received from readers.

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Offload Real-Time Reporting and Analytics from MongoDB Using PostgreSQL

Rockset

MongoDB’s Advantages & Disadvantages MongoDB has comprehensive aggregation capabilities. You can run many analytic queries on MongoDB without exporting your data to a third-party tool. In this situation, the MongoDB cluster doesn’t have to keep up with the read requests. What Is PostgreSQL?

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