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Introduction to MongoDB for Data Science

Knowledge Hut

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you. What is MongoDB for Data Science?

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MongoDB CDC: When to Use Kafka, Debezium, Change Streams and Rockset

Rockset

MongoDB has grown from a basic JSON key-value store to one of the most popular NoSQL database solutions in use today. These attributes have caused MongoDB to be widely adopted especially alongside JavaScript web applications. These attributes have caused MongoDB to be widely adopted especially alongside JavaScript web applications.

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OLTP Vs OLAP – What Is The Difference

Seattle Data Guy

Adding databases like MongoDB and CassandraDB only makes matters worse, since they’re not SQL-friendly – the language most analysts and data practitioners are used to.… If you’re relying on your OLTP system to provide analytics, you might be in for a surprise.

MongoDB 208
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Five Ways to Run Analytics on MongoDB – Their Pros and Cons

Rockset

MongoDB is a top database choice for application development. MongoDB wasn’t originally developed with an eye on high performance for analytics. Developers have formed ingenious solutions for real-time analytical queries on data stored in MongoDB, using in-house solutions or third-party products.

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Data News — Week 24.08

Christophe Blefari

This week I've participated to a round table about data and did a cool presentation about Engines. The idea was to depict the history of engines over the last 40 years and what leads to polars and DuckDB. Engines evolution (me) There are 3 points that have triggered discussion about the visualisation I done What about Arrow?

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Data Engineering Weekly #137

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. So, let's shape the future of Data Engineering together. See how it works today.

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Analytics Engineering Without The Friction Of Complex Pipeline Development With Optimus and dbt

Data Engineering Podcast

It’s hard to have a conversation about data engineering or analysis without mentioning it. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs.