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Getting Started with MongoDB Atlas and Azure Functions using Node.js

 2 years ago
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Getting Started with MongoDB Atlas and Azure Functions using Node.js

 
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Adding Metadata to Feature Flag Configuration using AWS AppConfig Extensions
 
 
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From the web
 
 
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Use Composer for Dataproc Serverless workloads
 
 
Dataproc can run jobs of different types: Pig, PySpark, Spark, Hadoop, Hive, SparkSql etc. It is used for everything from data lake modernization, ETL / ELT, to secure data science projects at scale .

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Xata gives Jamstack developers access to a serverless data platform with an API call
 
 
Xata is a serverless database with built-in powerful search and analytics. One API, multiple type-safe client libraries, and optimized for your development workflow.
 
 
 
Processing Healthcare Data Files with Serverless GCP
 
 
Data in Healthcare today emanates from a wide variety of sources including exports of patient clinical data, wearables and devices. This means that it can arrive in various formats, so it’s vital to make sure the files are “clean” before uploading them to the cloud.

Using Cloud Functions to transform the data, we can then load it to BigQuery for analytics and processing.

We need a quick and easy way to ensure they’re in good shape when we transfer them to ensure high quality analytics downstream.
 
 
 
Getting Started with MongoDB Atlas and Azure Functions using Node.js
 
 
Learn how to get started with Microsoft Azure Functions and persist your data to MongoDB Atlas.
 
 
 
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Quick Hits
 
 
AWS Lambda added support for Node.js 18.
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  • Developers creating serverless applications in Lambda with Node.js 18 can take advantage of new features such as an upgrade of the bundled AWS SDK for JavaScript to v3 and improved support for deploying ES Modules using Lambda layers.
  • This release also provides access to Node.js 18 language enhancements, including the experimental ‘fetch’ API.
 
 
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