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Going From Transactional To Analytical And Self-managed To Cloud On One Database With MariaDB

Data Engineering Podcast

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. Data teams are increasingly under pressure to deliver. That’s where our friends at Ascend.io

Database 100
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What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools

Monte Carlo

In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development. Get familiar with data warehouses, data lakes, and data lakehouses, including MongoDB , Cassandra, BigQuery, Redshift and more.

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Discover And De-Clutter Your Unstructured Data With Aparavi

Data Engineering Podcast

Aparavi was created to tame the sprawl of information across machines, datacenters, and clouds so that you can reduce the amount of duplicate data and save time and money on managing your data assets. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

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How to connect to MongoDB using Mongoose and MongoDB Atlas in Node.js?

Workfall

Reading Time: 10 minutes MongoDB is one of the most popular No-SQL databases in the developer community today. In this blog, we will demonstrate how to connect to MongoDB using Mongoose and MongoDB Atlas in Node.js. In this blog, we will cover: What is MongoDB? In this blog, we will cover: What is MongoDB?

MongoDB 52
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Tame The Entropy In Your Data Stack And Prevent Failures With Sifflet

Data Engineering Podcast

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. runs natively on data lakes and warehouses and in AWS, Google Cloud and Microsoft Azure.

Data Lake 130
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Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

Data Engineering Podcast

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. Data stacks are becoming more and more complex. That’s where our friends at Ascend.io

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Level Up Your Data Platform With Active Metadata

Data Engineering Podcast

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. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud.

Metadata 130