Remove tag sql
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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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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. The SQL Query for this will look like: SELECT DISTINCT ?film

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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. For example, we use Apache Spark and Trino for ETL and SQL analytics.

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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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How a Major Research University Accelerates Scientific Discovery with Modern Storage

Pure Storage

Performance problems with Microsoft SQL Server database and data warehouse reporting also disappeared. “We You can’t put a price tag on peace of mind,” he says. . The post How a Major Research University Accelerates Scientific Discovery with Modern Storage appeared first on Pure Storage Blog. That wasn’t the only result.

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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.