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Safely Test Your Applications And Analytics With Production Quality Data Using Tonic AI

Data Engineering Podcast

With a PostgreSQL-compatible interface, you can now work with real-time data using ANSI SQL including the ability to perform multi-way complex joins, which support stream-to-stream, stream-to-table, table-to-table, and more, all in standard SQL. Go to dataengineeringpodcast.com/materialize today and sign up for early access to get started.

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Popular PostgreSQL Tools to Know in 2024

Knowledge Hut

In the database ecosystem, Postgres is one of the top open-source databases, and one of the most widely used PSQL tools for managing PostgreSQL is pgAdmin. To run PostgreSQL instances on the Azure cloud, Azure offers Azure Database for PostgreSQL. What are PostgreSQL Tools? Why Use a GUI Tool?

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JOINs and Aggregations Using Real-Time Indexing on MongoDB Atlas

Rockset

MongoDB.live took place last week, and Rockset had the opportunity to participate alongside members of the MongoDB community and share about our work to make MongoDB data accessible via real-time external indexing. We would be responsible for building and maintaining pipelines from these sources to MongoDB.

MongoDB 52
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Building Real Time Applications On Streaming Data With Eventador

Data Engineering Podcast

Summary Modern applications frequently require access to real-time data, but building and maintaining the systems that make that possible is a complex and time consuming endeavor. Eventador is a managed platform designed to let you focus on using the data that you collect, without worrying about how to make it reliable.

Building 100
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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. MongoDB’s Characteristics MongoDB is a general-purpose database.

MongoDB 52
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Solving Data Discovery At Lyft

Data Engineering Podcast

Once a dataset has been located, how does Amundsen simplify the process of accessing that data for analysis or further processing? Once a dataset has been located, how does Amundsen simplify the process of accessing that data for analysis or further processing? Can you talk through an example workflow for someone using Amundsen?

MongoDB 100
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Running Your Database On Kubernetes With KubeDB

Data Engineering Podcast

On top of that you’ll get access to Analytics Academy for the educational resources you need to become an expert in data analytics for measuring product-market fit. On top of that you’ll get access to Analytics Academy for the educational resources you need to become an expert in data analytics for measuring product-market fit.

Database 100