
Azure Ray is a unique astronomical phenomenon that occurs when the sun's rays pass through ice crystals in the atmosphere, creating a bright, diffuse light in the sky. This can happen at any time of day, but it's most commonly seen during the early morning or late evening hours.
The key to witnessing Azure Ray is being in the right location, typically at high latitudes near the Arctic or Antarctic Circles. This is because the sun's rays have to pass through a longer distance of atmosphere to reach the observer's location, increasing the chances of ice crystal formation.
Azure Ray can be seen as a band of light stretching across the sky, often with a diffuse, hazy appearance. It's not a bright, sharp beam of light, but rather a gentle, ethereal glow that can be quite breathtaking to behold.
Band Information
Azure Ray is a critically acclaimed indie folk band known for their soothing and introspective sound. They formed in 1997 in Chicago, Illinois.
The band's original lineup consisted of Orenda Fink and Maria Taylor, who have been the core members throughout their career.
Their music often explores themes of love, loss, and self-discovery, with poetic and often abstract lyrics.
Azure Ray's sound is characterized by Fink's ethereal vocals and Taylor's intricate guitar work, creating a distinctive and haunting atmosphere.
The band has released several critically acclaimed albums, including "Ride On" and "As Above, So Below".
Their music has been praised for its emotional depth and introspective nature, resonating with listeners on a personal level.
Music Releases
Azure Ray released their self-titled debut in 2001, produced by Eric Bachmann, which received a 7 out of 10 from Pitchfork.
The album featured the song "Sleep", which was later featured in the 2006 Academy Award-nominated movie The Devil Wears Prada.
Taylor Swift included "Sleep" on a six-song "breakup playlist" made for a fan via her official Tumblr in February 2015.
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DJ Paul Kalkbrenner sampled "Rise" in his 2008 song "Azure", giving it a new life.
In 2018, Azure Ray released their Waves EP, which premiered a new single, "Palindrome", a "mournful string-driven ballad" that showcases the band's spectral harmonies.
The band also re-recorded their 2003 song "Hold On Love", which reflects the live version they came to love playing through the years.
Self-Titled
The self-titled debut album by Azure Ray was released in 2001 on the Warm Electronic Recordings label.
Produced by Eric Bachmann, the album received praise from Pitchfork, who gave it a 7 out of 10 and described it as a collection of "maudlin but beautiful, expertly crafted pop songs".
The album's song "Sleep" gained significant attention, being featured in the 2006 Academy Award-nominated movie The Devil Wears Prada.
Taylor Swift also showed appreciation for the song, including it on a six-song "breakup playlist" made for a fan via her official Tumblr in February 2015.
DJ Paul Kalkbrenner sampled "Rise" from the album in his 2008 song "Azure".
Burn and Shiver (2002)
In 2002, Azure Ray released their second album, Burn and Shiver, produced by Bachmann.
The album was a significant step forward for the duo, with Pitchfork praising their emotional potency.
Burn and Shiver was released after Azure Ray met Fink and Taylor in Athens, and Conor Oberst introduced them to the Saddle Creek label.
This led to the duo relocating to Omaha, Nebraska, and joining the local music scene.
The November EP was released on January 22, 2002, and marked Azure Ray's first release on Saddle Creek.
Azure Ray collaborated with Moby on several projects, including co-writing the songs "Great Escape" and "Landing".
These songs appeared on Moby's album 18 and the XXX soundtrack, respectively.
Discography: Hold On Love, New Resolution EP, Hiatus
Azure Ray's third full-length album, Hold On Love, was released on October 7, 2003, on Saddle Creek.
This album marked a departure from their previous records, with newly arresting manipulations of electronic elements interlocking with the duo's traditional organic fare.
The first single from Hold On Love, New Resolution, was released as an EP/Single by Saddle Creek on January 20, 2004.
In 2004, Azure Ray went on hiatus, allowing Fink and Taylor to focus on solo albums and other collaborative projects, including a stint in Now It's Overhead.
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As Above, So Below EP
The As Above, So Below EP was released on September 5, 2012. It was a six-song EP by Azure Ray on the Saddle Creek label.
Azure Ray's Orenda Fink and Maria Taylor entered the studio after a two-year hiatus to record the EP, which was influenced by a more "hypnotic" and "electronica" sound.
The EP was produced in collaboration with Andy LeMaster and Todd Fink.
Reunion and Waves EP
Azure Ray made a comeback in 2018 with their Reunion and Waves EP, which was announced after a one-off show in Los Angeles at the Lodge Room on January 20, 2018.
The duo's first new record in six years, the EP was titled Waves and featured a single, "Palindrome", a "mournful string-driven ballad" that showcased the band's "spectral harmonies" and "woodsy storytelling".
The music video for "Palindrome" was directed by Alan Tanner and premiered on Billboard on October 19, 2018, along with a new recording of "Hold On Love".
The band's EP was released on Flower Moon Records on October 26, 2018, and featured another single, "Last Summer in Omaha", which was described as "hauntingly beautiful".
Azure Ray in Technology
Running Ray on Azure Databricks provides a unified platform where you can run Ray applications alongside Apache Spark, supporting seamless data ETL operations and efficient data transfer.
This integration allows for powerful parallel computing within the same compute environment, making it an ideal choice for data processing and machine learning workflows.
Azure Databricks offers a range of benefits, including governance and control through Unity Catalog, infrastructure management with Terraform Provider and Asset Bundles, and managed Ray clusters for scalability and reliability.
Here are some of the key features of Azure Ray in Technology:
- Unified platform: Run Ray applications alongside Apache Spark for seamless data ETL operations and efficient data transfer.
- Governance and control: Use Unity Catalog for lineage tracking, data versioning, and access control.
- Infrastructure management: Utilize Terraform Provider and Asset Bundles to manage clusters and jobs.
- Managed Ray clusters: Ensure scalability, reliability, and ease of use without complex infrastructure setup.
By leveraging the Azure Databricks ecosystem, you can enhance your data processing, machine learning, and operational workflows with a range of services and integrations.
Running Ray on Databricks
Running Ray on Databricks offers a unified platform where you can run Ray applications alongside Apache Spark. This integration supports seamless data ETL operations, efficient data transfer, and powerful parallel computing within the same compute environment.
With Azure Databricks, you get the benefits of lineage tracking, data versioning, and access control with Unity Catalog for all your data assets, files, models, and more, ensuring compliance and security.
You can utilize infrastructure tools like the Azure Databricks Terraform Provider and Azure Databricks Asset Bundles to manage your clusters and jobs, ensuring streamlined operations and scalability.
Ray clusters are managed in the same execution environment as a running Apache Spark cluster, ensuring scalability, reliability, and ease of use without the need for complex infrastructure setup.
Here are some of the key benefits of running Ray on Databricks:
- Unified platform for seamless data ETL operations and parallel computing
- Governance and control with Unity Catalog for data assets and models
- Infrastructure management with Terraform Provider and Asset Bundles
- Managed Ray clusters with scalability and reliability
- Model Serving and monitoring with Mosaic AI and Lakehouse Monitoring
- Enhanced ML development with Azure Databricks MLflow service
- Automated workflows with Databricks Jobs
- Code management and collaboration with Azure Databricks Git folders
- Efficient data access with Delta Lake
By running Ray on Databricks, you gain access to an integrated ecosystem that enhances your data processing, machine learning, and operational workflows.
High-Performance Computing (HPC)
High-Performance Computing (HPC) with Azure Ray is a game-changer for complex calculations. It excels in distributing HPC workloads, making it suitable for mathematical computations in fields like physics, genomics, or finance using Ray Core for efficient parallel processing.
Ray's distributed computation architecture is a huge advantage, especially when dealing with complex compute-intensive feature engineering tasks. These tasks can benefit greatly from Ray's capabilities.
You can use Ray to scale your forecasting models, running estimates concurrently with forecasting packages such as Prophet or ARIMA. This is particularly useful for time series forecasting.
Some of the key benefits of using Ray for HPC include:
- Efficient parallel processing for complex calculations
- Scalability for forecasting models
These advantages make Azure Ray an ideal choice for applications that require high-performance computing.
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