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Unlocking the Value of your Runbook Automation Value Metrics with Snowflake, Jupyter Notebooks, and Python by Justyn Roberts

PagerDuty

This blog was co-authored by Justyn Roberts, Senior Solutions Consultant, PagerDuty Automation has become an integral piece in business practices of the modern organization. In this blog, we are going to zoom in on two key integrations, Snowflake and Jupyter Notebooks. We’re too busy to take the time to automate those tasks!”

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How to Deploy a Docker Image with Terraform

Pure Storage

How to Deploy a Docker Image with Terraform by Pure Storage Blog Containerization has revolutionized software development by enclosing applications with their dependencies into portable, self-contained units. Building a Docker Image We’ll build a Docker image for a Python Flask application. Then, we’ll deploy it with Terraform.

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How to Create a Docker Image – Build and Run Your Own Containers

Pure Storage

How to Create a Docker Image – Build and Run Your Own Containers by Pure Storage Blog Lightweight, stand-alone, and secure, containers provide a reliable runtime environment that will work consistently from host to host. Next, we use the ‘RUN’ instruction to update the package manager and install Python 3 and Flask inside the container.

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Querying Movie Data on Wikipedia using DBpedia and SPARQL

Advancing Analytics

This blog will cover how to write a simple SPARQL query to identify Wikipedia pages containing a certain link (in this case using a link to identify the movie genre) and return the film and additional attributes such as producer, director, tags and actors. I will be covering this in my next blog so check it out if you are interested.

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GIS in Databricks

Advancing Analytics

Written in Scala to guarantee performance, it provides wrappers to support common languages such as Python, R and SQL. bz2’ files can have certain tags extracted from them using the ‘options(rowTag=*tag name*)’. The three tags that should be extracted are nodes, ways and relations. alias("id"), f.explode_outer("tag") ).select(f.col("id"),

Travel 59
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MLOps - Hints and Tips for more Robust Model Deployments

Advancing Analytics

In the previous blog , we explored how Azure Functions can simplify the deployment process. In this blog, we'll delve deeper into some of the essential hints and tips for more robust model deployments. Pydantic Pydantic is a Python library that provides data validation and settings management capabilities. This is not robust.

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The Pure1® REST API

Pure Storage

I plan on writing a couple different posts on using different tools to connect to it: PowerShell, Python, vRealize Orchestrator… stay tuned for those. One thing you can do right now, is create tags and tag arrays in Pure1. The post The Pure1® REST API appeared first on Pure Storage Blog. Or just close the browser.