Trino was the site of Enrico Fermi Nuclear Power Plant. The Romanesque church of San Michele in Insula (built in the 10th–11th centuries) has 12th-century frescoes. The Lucedio Abbey is also located in the municipal territory.
UnderGame! UG BPM #2: Trino x Mike Cümə x Tibu
“UnderGame” sizə “UG BPM” layihəsini təqdim edir. Layihənin əsas məqsədi hiphop altmədəniyyətini üst səviyyədə təqdim etməkdir. Müasir dünya musiqisi ilə ayaqlaşmaq üçün ölkə altmədəniyyətinə gətirdiyimiz yenilik A-dan Z-yə hər kəsin ruhuna xitab etməyi hədəfləyir.
Təklif və iş birliyi üçün: [email protected]
Rejissor — Chingiz Hasanbayli
DOP — Chingiz Hasanbayli, Soltan İbrahim, Kamran İbrahim
Gaffer — CSK
Montaj — Chingiz Hasanbayli
Rənglənmə — Kamran
Fotoqraf — Nərmin Aslanlı
Art Direktor – fezzy
Dizayn/Motion — Elvin Arably
Musiqi Prodüseri — Amal'
Aparıcı – Muzzi
DJ – Fuddjhi
Miksinq və Masterinq — Ramrade
Səs rejissoru — Rafiq Qəribov
UG — Murad Shuge
Line prodüser — Valeh Vaxo
İcraçı prodüser — Fərid İmaməliyev
PR/Marketing —...
Trino is a massively parallel processing query engine that provides a quick and easy way to access datasets from a variety of sources using industry standard ANSI SQL.
Trino is best-known for handling ad-hoc data analytics workloads, and it shines when reading and federating data in a data warehouse or data lake. It also has a mode for fault tolerance which trades off some speed for reliability, making it effective at handling batch ETL/ELT workloads and insertions.
It is important to stress that though Trino understands SQL, it does not provide the features of a standard database. Trino is not a general-purpose relational database and does not store data, and you will need to use Trino’s connectors to query your database, data warehouse, or data lakehouse.
Trino website: https://trino...
published: 20 Feb 2024
Ilamuna x Jasur Nematov x Trino — Təki Sən (Rəsmi Audio)
Jasur Nematov-un Ilamuna və Trino ilə birgə ifası "Təki Sən" artıq onlayndır.
Jasur Nematov-a Youtubeda abunə ol: https://mikpro.az/jasurnematovyt
"Təki Sən" rəqəmsal platformalarda: https://bfan.link/teki-sen
Musiqi: Erik Mukashev
Söz: Ilamuna, Jasur Nematov, Trino
Jasur Nematov-u sosial şəbəkələrdə izlə:
Facebook: https://mikpro.az/jasurnematovfb
Instagram: https://mikpro.az/jasurnematovig
Genius: https://mikpro.az/jasurnematovgn
Jasur Nematov-u rəqəmsal platformalarda dinlə:
Keçid: https://mikpro.az/jasurnematov.dinle
Sözlər:
[Bənd 1]
Haradasan?
Sənin ətrin hələ də qalıb yaxamda
Sənsiz Günəş belə isitmir
Yadında? Deyirdin:
“Nə olur, olsa, mənə inan”
“İnan hər an”
Haradasan?
Sənsizlik məni həyatdan soyudanda
Davamım yox mənim artıq soyuq...
published: 22 Nov 2024
Getting started with Trino and SQL
Join Manfred and the rest of the Trino Community for Part 1 of the Trino Training Series, learning about what Trino is and how you can run SQL queries with it!
A blog post with the slide deck, links, and more resources is available at https://trino.io/blog/2023/10/18/sql-training-1
Timestamps:
- 0:00 Intro, overview, and agenda
- 4:16 Starburst Galaxy
- 5:10 Start of SQL and Trino concepts
- 6:20 What is Trino
- 9:10 What is SQL
- 11:01 Basic SQL example
- 11:46 Where does data come from? Data sources
- 15:45 Trino and SQL
- 17:08 SQL dialects and language support
- 19:23 Catalogs and connectors
- 25:16 Tabular format
- 26:24 Trino cluster
- 27:38 Trino clients
- 29:32 Trino and SQL summary and conclusion
- 30:26 SQL basics
- 31:00 SQL is declarative
- 33:06 Globally available statements...
published: 18 Oct 2023
How does Trino process a query? | Starburst Academy
Excited to learn more about Starburst? Starburst Academy has a whole course on the topic: https://academy.starburst.io/page/starburst-basics
If you want to get hands-on with Starburst, get up and running in seconds with our Starburst Galaxy: Getting started tutorial: https://www.starburst.io/tutorials/starburst-galaxy-getting-started/
In this video, you'll discover how the Trino query engine processes SQL queries efficiently. Starburst uses the Trino engine at its core and both Starburst Galaxy and Starburst Enterprise are the best way to use Trino in your data workloads. This is particularly effective when combined with an open data lakehouse architecture using Apache Iceberg.
Trino, formerly known as PrestoSQL, employs a distributed architecture to process SQL queries. Clusters of n...
published: 10 Apr 2024
Understanding Trino
Trino is an open source distributed SQL engine for running fast analytic queries against various data sources ranging in size from gigabytes to petabytes. Trino was designed and built from scratch for interactive analytics. It approaches the speed of commercial data warehouses while scaling to the size of very large organizations.
Learn more at www.starburst.io/learn/open-source-trino/
#trino #starburst #datafederation #data #dataengineering #dataanalytics #datalakeouse #datalake #datawarehouse #sql #sqldatabasemanagement #opendatalakehouse
published: 10 Mar 2021
Learning Trino SQL with Docker
published: 21 Apr 2021
Fallece Trino Mora: La leyenda del rock venezolano
#2001onlinecom #noticias #farándula #trinomora #fallece
Síguenos para que obtengas información de primera mano
Únete a nuestro canal de 2001online en WhatsApp
https://whatsapp.com/channel/0029Va9C...
También puedes encontrarnos en Telegram
👇🏻 https://t.me/Diario2001Online
En el resto de las plataformas digitales estamos como:
💻 2001online.com
✖ x.com/2001OnLine
📹 / @2001online-com
❤️ instagram.com/2001onlinecom
📱 facebook.com/2001Online
⏯tiktok.com/@2001_online
📸 dailymotion.com/2001online
===============================================
UnderGame! UG BPM #2: Trino x Mike Cümə x Tibu
“UnderGame” sizə “UG BPM” layihəsini təqdim edir. Layihənin əsas məqsədi hiphop altmədəniyyətini üst səviyyədə t...
Trino x FYZ — MADE IN CHINA
"MADE IN CHINA" musiqi platformalarından əldə etmək üçün — https://bfan.link/-made-in-china
Təklif və iş birliyi üçün: muradshuge@...
Trino is a massively parallel processing query engine that provides a quick and easy way to access datasets from a variety of sources using industry standard AN...
Trino is a massively parallel processing query engine that provides a quick and easy way to access datasets from a variety of sources using industry standard ANSI SQL.
Trino is best-known for handling ad-hoc data analytics workloads, and it shines when reading and federating data in a data warehouse or data lake. It also has a mode for fault tolerance which trades off some speed for reliability, making it effective at handling batch ETL/ELT workloads and insertions.
It is important to stress that though Trino understands SQL, it does not provide the features of a standard database. Trino is not a general-purpose relational database and does not store data, and you will need to use Trino’s connectors to query your database, data warehouse, or data lakehouse.
Trino website: https://trino.io/
Learn more about Trino: https://www.starburst.io/learn/trino/
Learn SQL with Trino: https://www.starburst.io/info/trino-training-series/
Check out Starburst Galaxy: https://www.starburst.io/platform/starburst-galaxy/start/?utm_medium=trino&utm_source=website&utm_campaign=Global-FY22-Q4-DM-Trial-Galaxy2-0&utm_content=YT-what-is-trino
Timestamps:
- 0:00 Intro
- 0:30 SQL query engine
- 1:29 Federated queries
- 2:25 Querying data lakes
- 2:56 Open source
- 3:24 Starburst Galaxy
#trino #apachetrino #starburst #sql #sqldatabasemanagement #datalake #datalakehouse #icehouse #dataicehouse #apacheiceberg #datafederation #starburstgalaxy #opensource
Trino is a massively parallel processing query engine that provides a quick and easy way to access datasets from a variety of sources using industry standard ANSI SQL.
Trino is best-known for handling ad-hoc data analytics workloads, and it shines when reading and federating data in a data warehouse or data lake. It also has a mode for fault tolerance which trades off some speed for reliability, making it effective at handling batch ETL/ELT workloads and insertions.
It is important to stress that though Trino understands SQL, it does not provide the features of a standard database. Trino is not a general-purpose relational database and does not store data, and you will need to use Trino’s connectors to query your database, data warehouse, or data lakehouse.
Trino website: https://trino.io/
Learn more about Trino: https://www.starburst.io/learn/trino/
Learn SQL with Trino: https://www.starburst.io/info/trino-training-series/
Check out Starburst Galaxy: https://www.starburst.io/platform/starburst-galaxy/start/?utm_medium=trino&utm_source=website&utm_campaign=Global-FY22-Q4-DM-Trial-Galaxy2-0&utm_content=YT-what-is-trino
Timestamps:
- 0:00 Intro
- 0:30 SQL query engine
- 1:29 Federated queries
- 2:25 Querying data lakes
- 2:56 Open source
- 3:24 Starburst Galaxy
#trino #apachetrino #starburst #sql #sqldatabasemanagement #datalake #datalakehouse #icehouse #dataicehouse #apacheiceberg #datafederation #starburstgalaxy #opensource
Join Manfred and the rest of the Trino Community for Part 1 of the Trino Training Series, learning about what Trino is and how you can run SQL queries with it!
...
Join Manfred and the rest of the Trino Community for Part 1 of the Trino Training Series, learning about what Trino is and how you can run SQL queries with it!
A blog post with the slide deck, links, and more resources is available at https://trino.io/blog/2023/10/18/sql-training-1
Timestamps:
- 0:00 Intro, overview, and agenda
- 4:16 Starburst Galaxy
- 5:10 Start of SQL and Trino concepts
- 6:20 What is Trino
- 9:10 What is SQL
- 11:01 Basic SQL example
- 11:46 Where does data come from? Data sources
- 15:45 Trino and SQL
- 17:08 SQL dialects and language support
- 19:23 Catalogs and connectors
- 25:16 Tabular format
- 26:24 Trino cluster
- 27:38 Trino clients
- 29:32 Trino and SQL summary and conclusion
- 30:26 SQL basics
- 31:00 SQL is declarative
- 33:06 Globally available statements and reading metadata
- 38:54 Reading data and other operations
- 44:06 Data types
- 47:37 Testing
- 49:48 Formatting, case statements, IFs,
- 53:44 Conditions (WHERE), and sorting
- 55:15 Accessing multiple tables
- 57:14 Federated queries across data sources
- 58:20 Preview of features for later talks!
- 58:33 Conclusion and other resources
- 1:02:00 Q&A
Join Manfred and the rest of the Trino Community for Part 1 of the Trino Training Series, learning about what Trino is and how you can run SQL queries with it!
A blog post with the slide deck, links, and more resources is available at https://trino.io/blog/2023/10/18/sql-training-1
Timestamps:
- 0:00 Intro, overview, and agenda
- 4:16 Starburst Galaxy
- 5:10 Start of SQL and Trino concepts
- 6:20 What is Trino
- 9:10 What is SQL
- 11:01 Basic SQL example
- 11:46 Where does data come from? Data sources
- 15:45 Trino and SQL
- 17:08 SQL dialects and language support
- 19:23 Catalogs and connectors
- 25:16 Tabular format
- 26:24 Trino cluster
- 27:38 Trino clients
- 29:32 Trino and SQL summary and conclusion
- 30:26 SQL basics
- 31:00 SQL is declarative
- 33:06 Globally available statements and reading metadata
- 38:54 Reading data and other operations
- 44:06 Data types
- 47:37 Testing
- 49:48 Formatting, case statements, IFs,
- 53:44 Conditions (WHERE), and sorting
- 55:15 Accessing multiple tables
- 57:14 Federated queries across data sources
- 58:20 Preview of features for later talks!
- 58:33 Conclusion and other resources
- 1:02:00 Q&A
Excited to learn more about Starburst? Starburst Academy has a whole course on the topic: https://academy.starburst.io/page/starburst-basics
If you want to get...
Excited to learn more about Starburst? Starburst Academy has a whole course on the topic: https://academy.starburst.io/page/starburst-basics
If you want to get hands-on with Starburst, get up and running in seconds with our Starburst Galaxy: Getting started tutorial: https://www.starburst.io/tutorials/starburst-galaxy-getting-started/
In this video, you'll discover how the Trino query engine processes SQL queries efficiently. Starburst uses the Trino engine at its core and both Starburst Galaxy and Starburst Enterprise are the best way to use Trino in your data workloads. This is particularly effective when combined with an open data lakehouse architecture using Apache Iceberg.
Trino, formerly known as PrestoSQL, employs a distributed architecture to process SQL queries. Clusters of nodes collaborate to handle large datasets in parallel. Each cluster comprises a coordinator node responsible for managing query execution and one or more worker nodes tasked with executing query-related operations.
Learn how clusters can scale to accommodate increased processing demands by adding more workers or enhancing the processing power of existing ones. Explore the essential components of clusters, including connectors and catalogs, enabling communication with diverse data sources.
Join us as we dive into the intricacies of processing a query spanning multiple data sources. Follow along with a detailed diagram illustrating the roles of coordinators, workers, connectors, clients, and data sources in the query execution process.
You'll see how the coordinator parses queries, gathers metadata from data sources, and assigns tasks to workers based on optimal query execution strategies. Understand how workers leverage connectors to access data sources, exchange information, and collaborate to complete tasks efficiently.
Explore how Trino's innovative architecture empowers organizations to query any data source and federate data from multiple sources effectively, especially on the data lakehouse.
#data #datalakehouse #opendatalakehouse #clouddatalakehouse #datavirtualization #trino #massivelyparallelprocessing #mpp #starburst #enterprisedata #etl #etlpipeline #dataindexing #datacaching #datagovernance #dataobservability #datastrategy #datariskmanagement #dataanalytics #dataengineering #dataoptimization #datalake #datawarehouse #bigdata #dataleddecisions
Excited to learn more about Starburst? Starburst Academy has a whole course on the topic: https://academy.starburst.io/page/starburst-basics
If you want to get hands-on with Starburst, get up and running in seconds with our Starburst Galaxy: Getting started tutorial: https://www.starburst.io/tutorials/starburst-galaxy-getting-started/
In this video, you'll discover how the Trino query engine processes SQL queries efficiently. Starburst uses the Trino engine at its core and both Starburst Galaxy and Starburst Enterprise are the best way to use Trino in your data workloads. This is particularly effective when combined with an open data lakehouse architecture using Apache Iceberg.
Trino, formerly known as PrestoSQL, employs a distributed architecture to process SQL queries. Clusters of nodes collaborate to handle large datasets in parallel. Each cluster comprises a coordinator node responsible for managing query execution and one or more worker nodes tasked with executing query-related operations.
Learn how clusters can scale to accommodate increased processing demands by adding more workers or enhancing the processing power of existing ones. Explore the essential components of clusters, including connectors and catalogs, enabling communication with diverse data sources.
Join us as we dive into the intricacies of processing a query spanning multiple data sources. Follow along with a detailed diagram illustrating the roles of coordinators, workers, connectors, clients, and data sources in the query execution process.
You'll see how the coordinator parses queries, gathers metadata from data sources, and assigns tasks to workers based on optimal query execution strategies. Understand how workers leverage connectors to access data sources, exchange information, and collaborate to complete tasks efficiently.
Explore how Trino's innovative architecture empowers organizations to query any data source and federate data from multiple sources effectively, especially on the data lakehouse.
#data #datalakehouse #opendatalakehouse #clouddatalakehouse #datavirtualization #trino #massivelyparallelprocessing #mpp #starburst #enterprisedata #etl #etlpipeline #dataindexing #datacaching #datagovernance #dataobservability #datastrategy #datariskmanagement #dataanalytics #dataengineering #dataoptimization #datalake #datawarehouse #bigdata #dataleddecisions
Trino is an open source distributed SQL engine for running fast analytic queries against various data sources ranging in size from gigabytes to petabytes. Trino...
Trino is an open source distributed SQL engine for running fast analytic queries against various data sources ranging in size from gigabytes to petabytes. Trino was designed and built from scratch for interactive analytics. It approaches the speed of commercial data warehouses while scaling to the size of very large organizations.
Learn more at www.starburst.io/learn/open-source-trino/
#trino #starburst #datafederation #data #dataengineering #dataanalytics #datalakeouse #datalake #datawarehouse #sql #sqldatabasemanagement #opendatalakehouse
Trino is an open source distributed SQL engine for running fast analytic queries against various data sources ranging in size from gigabytes to petabytes. Trino was designed and built from scratch for interactive analytics. It approaches the speed of commercial data warehouses while scaling to the size of very large organizations.
Learn more at www.starburst.io/learn/open-source-trino/
#trino #starburst #datafederation #data #dataengineering #dataanalytics #datalakeouse #datalake #datawarehouse #sql #sqldatabasemanagement #opendatalakehouse
#2001onlinecom #noticias #farándula #trinomora #fallece
Síguenos para que obtengas información de primera mano
Únete a nuestro canal de 2001online en Whats...
#2001onlinecom #noticias #farándula #trinomora #fallece
Síguenos para que obtengas información de primera mano
Únete a nuestro canal de 2001online en WhatsApp
https://whatsapp.com/channel/0029Va9C...
También puedes encontrarnos en Telegram
👇🏻 https://t.me/Diario2001Online
En el resto de las plataformas digitales estamos como:
💻 2001online.com
✖ x.com/2001OnLine
📹 / @2001online-com
❤️ instagram.com/2001onlinecom
📱 facebook.com/2001Online
⏯tiktok.com/@2001_online
📸 dailymotion.com/2001online
===============================================
#2001onlinecom #noticias #farándula #trinomora #fallece
Síguenos para que obtengas información de primera mano
Únete a nuestro canal de 2001online en WhatsApp
https://whatsapp.com/channel/0029Va9C...
También puedes encontrarnos en Telegram
👇🏻 https://t.me/Diario2001Online
En el resto de las plataformas digitales estamos como:
💻 2001online.com
✖ x.com/2001OnLine
📹 / @2001online-com
❤️ instagram.com/2001onlinecom
📱 facebook.com/2001Online
⏯tiktok.com/@2001_online
📸 dailymotion.com/2001online
===============================================
Trino is a massively parallel processing query engine that provides a quick and easy way to access datasets from a variety of sources using industry standard ANSI SQL.
Trino is best-known for handling ad-hoc data analytics workloads, and it shines when reading and federating data in a data warehouse or data lake. It also has a mode for fault tolerance which trades off some speed for reliability, making it effective at handling batch ETL/ELT workloads and insertions.
It is important to stress that though Trino understands SQL, it does not provide the features of a standard database. Trino is not a general-purpose relational database and does not store data, and you will need to use Trino’s connectors to query your database, data warehouse, or data lakehouse.
Trino website: https://trino.io/
Learn more about Trino: https://www.starburst.io/learn/trino/
Learn SQL with Trino: https://www.starburst.io/info/trino-training-series/
Check out Starburst Galaxy: https://www.starburst.io/platform/starburst-galaxy/start/?utm_medium=trino&utm_source=website&utm_campaign=Global-FY22-Q4-DM-Trial-Galaxy2-0&utm_content=YT-what-is-trino
Timestamps:
- 0:00 Intro
- 0:30 SQL query engine
- 1:29 Federated queries
- 2:25 Querying data lakes
- 2:56 Open source
- 3:24 Starburst Galaxy
#trino #apachetrino #starburst #sql #sqldatabasemanagement #datalake #datalakehouse #icehouse #dataicehouse #apacheiceberg #datafederation #starburstgalaxy #opensource
Join Manfred and the rest of the Trino Community for Part 1 of the Trino Training Series, learning about what Trino is and how you can run SQL queries with it!
A blog post with the slide deck, links, and more resources is available at https://trino.io/blog/2023/10/18/sql-training-1
Timestamps:
- 0:00 Intro, overview, and agenda
- 4:16 Starburst Galaxy
- 5:10 Start of SQL and Trino concepts
- 6:20 What is Trino
- 9:10 What is SQL
- 11:01 Basic SQL example
- 11:46 Where does data come from? Data sources
- 15:45 Trino and SQL
- 17:08 SQL dialects and language support
- 19:23 Catalogs and connectors
- 25:16 Tabular format
- 26:24 Trino cluster
- 27:38 Trino clients
- 29:32 Trino and SQL summary and conclusion
- 30:26 SQL basics
- 31:00 SQL is declarative
- 33:06 Globally available statements and reading metadata
- 38:54 Reading data and other operations
- 44:06 Data types
- 47:37 Testing
- 49:48 Formatting, case statements, IFs,
- 53:44 Conditions (WHERE), and sorting
- 55:15 Accessing multiple tables
- 57:14 Federated queries across data sources
- 58:20 Preview of features for later talks!
- 58:33 Conclusion and other resources
- 1:02:00 Q&A
Excited to learn more about Starburst? Starburst Academy has a whole course on the topic: https://academy.starburst.io/page/starburst-basics
If you want to get hands-on with Starburst, get up and running in seconds with our Starburst Galaxy: Getting started tutorial: https://www.starburst.io/tutorials/starburst-galaxy-getting-started/
In this video, you'll discover how the Trino query engine processes SQL queries efficiently. Starburst uses the Trino engine at its core and both Starburst Galaxy and Starburst Enterprise are the best way to use Trino in your data workloads. This is particularly effective when combined with an open data lakehouse architecture using Apache Iceberg.
Trino, formerly known as PrestoSQL, employs a distributed architecture to process SQL queries. Clusters of nodes collaborate to handle large datasets in parallel. Each cluster comprises a coordinator node responsible for managing query execution and one or more worker nodes tasked with executing query-related operations.
Learn how clusters can scale to accommodate increased processing demands by adding more workers or enhancing the processing power of existing ones. Explore the essential components of clusters, including connectors and catalogs, enabling communication with diverse data sources.
Join us as we dive into the intricacies of processing a query spanning multiple data sources. Follow along with a detailed diagram illustrating the roles of coordinators, workers, connectors, clients, and data sources in the query execution process.
You'll see how the coordinator parses queries, gathers metadata from data sources, and assigns tasks to workers based on optimal query execution strategies. Understand how workers leverage connectors to access data sources, exchange information, and collaborate to complete tasks efficiently.
Explore how Trino's innovative architecture empowers organizations to query any data source and federate data from multiple sources effectively, especially on the data lakehouse.
#data #datalakehouse #opendatalakehouse #clouddatalakehouse #datavirtualization #trino #massivelyparallelprocessing #mpp #starburst #enterprisedata #etl #etlpipeline #dataindexing #datacaching #datagovernance #dataobservability #datastrategy #datariskmanagement #dataanalytics #dataengineering #dataoptimization #datalake #datawarehouse #bigdata #dataleddecisions
Trino is an open source distributed SQL engine for running fast analytic queries against various data sources ranging in size from gigabytes to petabytes. Trino was designed and built from scratch for interactive analytics. It approaches the speed of commercial data warehouses while scaling to the size of very large organizations.
Learn more at www.starburst.io/learn/open-source-trino/
#trino #starburst #datafederation #data #dataengineering #dataanalytics #datalakeouse #datalake #datawarehouse #sql #sqldatabasemanagement #opendatalakehouse
#2001onlinecom #noticias #farándula #trinomora #fallece
Síguenos para que obtengas información de primera mano
Únete a nuestro canal de 2001online en WhatsApp
https://whatsapp.com/channel/0029Va9C...
También puedes encontrarnos en Telegram
👇🏻 https://t.me/Diario2001Online
En el resto de las plataformas digitales estamos como:
💻 2001online.com
✖ x.com/2001OnLine
📹 / @2001online-com
❤️ instagram.com/2001onlinecom
📱 facebook.com/2001Online
⏯tiktok.com/@2001_online
📸 dailymotion.com/2001online
===============================================
Trino was the site of Enrico Fermi Nuclear Power Plant. The Romanesque church of San Michele in Insula (built in the 10th–11th centuries) has 12th-century frescoes. The Lucedio Abbey is also located in the municipal territory.
You come into my sunrise Just to sleep all day You laugh when we are kissing You laugh when I'm afraid You're angry when I'm sweet You're angry over nothing And I'm trying to believe... trying to believe... But having part of you Will fill the whole of me Let me loose myself In the emptiness you bring Getting half of you... it feels like everything You come into my sunrise Just to sleep all day You laugh when we are kissing You laugh when I'm afraid I try to touch your face Your angry over nothing And I'm trying to believe... trying to believe... But having part of you Will fill the whole me I always loose myself In the emptiness you bring