Collections open! Amsterdam Museum and open data
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The Amsterdam Museum is making its collection of 90,000 objects openly accessible through open data to benefit the people of Amsterdam and encourage research, sharing of knowledge and innovation. By opening its data and making access easy, the museum aims to stimulate reuse that can enrich the collection when placed in new contexts.
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Boosting MySQL with Vector Search Scale22X 2025.pdfAlkin Tezuysal
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As the demand for vector databases and Generative AI continues to rise, integrating vector storage and search capabilities into traditional databases has become increasingly important. This session introduces the *MyVector Plugin*, a project that brings native vector storage and similarity search to MySQL. Unlike PostgreSQL, which offers interfaces for adding new data types and index methods, MySQL lacks such extensibility. However, by utilizing MySQL's server component plugin and UDF, the *MyVector Plugin* successfully adds a fully functional vector search feature within the existing MySQL + InnoDB infrastructure, eliminating the need for a separate vector database. The session explains the technical aspects of integrating vector support into MySQL, the challenges posed by its architecture, and real-world use cases that showcase the advantages of combining vector search with MySQL's robust features. Attendees will leave with practical insights on how to add vector search capabilities to their MySQLCloudMonitor - Architecture Audit Review February 2025.pdf
CloudMonitor - Architecture Audit Review February 2025.pdfRodney Joyce
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CloudMonitor FinOps is now a Microsoft Certified solution in the Azure Marketplace. This little badge means that we passed a 3rd-party Technical Audit as well as met various sales KPIs and milestones over the last 12 months.
We used our existing Architecture docs for CISOs and Cloud Architects to craft an Audit Response - I've shared it below to help others obtain their cert.
Interestingly, 90% of our customers are in the USA, with very few in Australia. This is odd as the first thing I hear in every meetup and conference, from partners, customers and Microsoft, is that they want to optimise their cloud spend! But very few Australian companies are using the FinOps Framework to lower Azure costs.
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¹ú¼ÒÈ˲ſâÈë¿â£ºÈÏÖ¤ºó£¬ÄãµÄÐÅÏ¢½«±»ÄÉÈë¹ú¼ÒÈ˲ſ⣬²¢ÇÒ¿ÉÒÔÔÚ¹ú¼ÒÈ˲ÅÍøµÈƽ̨ÉÏչʾ£¬¹©°üÀ¨500Ç¿¹«Ë¾µÈ´óÐ͹«Ë¾ÌôÑ¡ºÍƸÓÃÈ˲š£Õâ¶ÔÓڻعúÕÒ¹¤×÷ÌرðÊǽøÈë´ó¹«Ë¾£¬¾ßÓзdz£»ý¼«µÄ×÷Óá£The Role of Christopher Campos Orlando in Sustainability Analytics
The Role of Christopher Campos Orlando in Sustainability Analyticschristophercamposus1
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Christopher Campos Orlando specializes in leveraging data to promote sustainability and environmental responsibility. With expertise in carbon footprint analysis, regulatory compliance, and green business strategies, he helps organizations integrate sustainability into their operations. His data-driven approach ensures companies meet ESG standards while achieving long-term sustainability goals.
The Marketability of Rice Straw Yarn Among Selected Customers of Gantsilyo Guru
The Marketability of Rice Straw Yarn Among Selected Customers of Gantsilyo Gurukenyoncenteno12
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IMR PaperOptimizing Common Table Expressions in Apache Hive with Calcite
Optimizing Common Table Expressions in Apache Hive with CalciteStamatis Zampetakis
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In many real-world queries, certain expressions may appear multiple times, requiring repeated computations to construct the final result. These recurring computations, known as common table expressions (CTEs), can be explicitly defined in SQL queries using the WITH clause or implicitly derived through transformation rules. Identifying and leveraging CTEs is essential for reducing the cost of executing complex queries and is a critical component of modern data management systems.
Apache Hive, a SQL-based data management system, provides powerful mechanisms to detect and exploit CTEs through heuristic and cost-based optimization techniques.
This talk delves into the internals of Hive's planner, focusing on its integration with Apache Calcite for CTE optimization. We will begin with a high-level overview of Hive's planner architecture and its reliance on Calcite in various planning phases. The discussion will then shift to the CTE rewriting phase, highlighting key Calcite concepts and demonstrating how they are employed to optimize CTEs effectively.The truth behind the numbers: spotting statistical misuse.pptx
The truth behind the numbers: spotting statistical misuse.pptxandyprosser3
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As a producer of official statistics, being able to define what misinformation means in relation to data and statistics is so important to us.
For our sixth webinar, we explored how we handle statistical misuse especially in the media. We were also joined by speakers from the Office for Statistics Regulation (OSR) to explain how they play an important role in investigating and challenging the misuse of statistics across government.
Analyzing Consumer Spending Trends and Purchasing Behavior
Analyzing Consumer Spending Trends and Purchasing Behavioromololaokeowo1
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This project explores consumer spending patterns using Kaggle-sourced data to uncover key trends in purchasing behavior. The analysis involved cleaning and preparing the data, performing exploratory data analysis (EDA), and visualizing insights using ExcelI. Key focus areas included customer demographics, product performance, seasonal trends, and pricing strategies. The project provided actionable insights into consumer preferences, helping businesses optimize sales strategies and improve decision-making.
Collections open! Amsterdam Museum and open data
- 1. Collections open! Amsterdam Museum and Open Data Dr. Judith van Gent Alles offen, alles frei. Open Data in Kultureinrichtungen June 13th 2014, Wien Museum
- 13. V
- 16. Collection should be accessible to the owners: the people of Amsterdam
- 18. Stimulate sharing knowledge and innovation
- 19. Enrichment by data in interesting contexts
- 21. Stimulate re-use and make accessing data easy
- 30. Ontwerp: Jam Tekenaars. In opdracht van Europeana voor 'The Problem of the Yellow Milkmaid. A Business Model Perspective on Open Metadata'. Auteurs: Harry Verwayen (Europeana), Martijn Arnoldus (Kennisland) en Peter B. Kaufman (Intelligent Television). Beschikbaar via http://pro.europeana.eu/web/guest/yellow-milkmaid.
- 31. Ontwerp: Jam Tekenaars. In opdracht van Europeana voor 'The Problem of the Yellow Milkmaid. A Business Model Perspective on Open Metadata'. Auteurs: Harry Verwayen (Europeana), Martijn Arnoldus (Kennisland) en Peter B. Kaufman (Intelligent Television). Beschikbaar via http://pro.europeana.eu/web/guest/yellow-milkmaid.