Remove tag Table
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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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Getting Started with Microsoft Fabric Licensing

Advancing Analytics

If you want to know more about Microsoft Fabric then check out our introduction blog post which you can find here. Since Microsoft Fabric has been announced there have been many questions and queries about licensing and in this blog post I will go through everything you need to know! What are capacities? Which capacity do I need?

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GIS in Databricks

Advancing Analytics

The appropriate information can be extracted from the file and fed into Delta Tables. 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. The data can now be extracted and stored in Delta tables.

Travel 59
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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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Disaster Recovery (DR) Architecture on AWS, Part II: Backup and Restore with Rapid Recovery

AWS Disaster Recovery

In a previous blog post , I introduced you to four strategies for disaster recovery (DR) on AWS. Restoring data from backup creates resources for that data such as EBS volumes, RDS DB instances, and DynamoDB tables. AWS Backup will automatically copy tags from a resource to the backups it makes. Conclusion.

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How to Create Scalable and Reliable Kubernetes Logging

Pure Storage

How to Create Scalable and Reliable Kubernetes Logging by Pure Storage Blog This article on creating scalable and reliable Kubernetes logging originally appeared on Medium. This blog has been replublished with the author’s credit and consent. Log input and output are tightly coupled, therefore difficult to manage.

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Data Fabric vs. Data Lake vs. Data Warehouse

Pure Storage

Data Fabric vs. Data Lake vs. Data Warehouse by Pure Storage Blog As businesses collect more “raw” data—such as computer logs or video files that have not yet been processed, cleaned, or analyzed for use—they need reliable and effective ways to manage that information until they’re ready to work with it.