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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. Developers choose this database because of its flexible data model and its inherent scalability as a NoSQL database. MongoDB wasn’t originally developed with an eye on high performance for analytics. Yet, analytics is now a vital part of modern data applications.

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Top 7 Data Engineering Career Opportunities in 2024

Knowledge Hut

Data Science is the world's most rapidly growing sector and data engineers are at the forefront. In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? What are the Data Engineer Career Opportunities?

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

Data Engineering Podcast

Summary One of the most impactful technologies for data analytics in recent years has been dbt. It’s hard to have a conversation about data engineering or analysis without mentioning it. Despite its widespread adoption there are still rough edges in its workflow that cause friction for data analysts.

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Best Morgan Stanley Data Engineer Interview Questions

U-Next

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. What is a data warehouse?

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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

However, advances in technology have now made it possible to store, process, and analyze big data quickly and effectively. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB. Spark also supports SQL queries and machine learning algorithms.

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Data News — Week 24.05

Christophe Blefari

Anyway this week will be a mixed Data News with links, stuff and ideas and a small wrap-up of the DuckCon + the stuff I presented on Wed. to a Modern Data Stack meetup in Paris about DuckDB WASM. The text-to-sql problem Every once in a while the people are trying to give a shot at the text-to-sql problem. conference.

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