In the presentation we review the Spatial Data in SQL Server.
Best Regards,
Dr. Eduardo Castro Martinez, Microsoft SQL Server MVP
http://ecastrom.blogspot.com
http://tinyurl.com/comunidadwindows
The Latest in Spatial & Temporal Search: Presented by David SmileyLucidworks
David Smiley presented on the latest developments in spatial and temporal search in Lucene and Solr. He discussed strategies for indexing and searching spatial data like polygons using approaches like RecursivePrefixTreeStrategy and SerializedDVStrategy. He also covered temporal search using approaches like date range fields and the upcoming DateRangePrefixTree. Recent contributions from students were highlighted and future work like spatial heatmaps was discussed.
This document provides information about a 1.5 month course on data structures offered by Baluja Labs located in New Delhi, India. The course fees are Rs. 4500/-. The course will cover topics such as arrays, lists, stacks, queues, trees, graphs, recursion, algorithms, complexity analysis, and more. It will also cover C++ memory allocation. The document lists the contact information for Baluja Labs and provides an outline of the topics that will be covered in the data structures course.
Spark's distributed programming model uses resilient distributed datasets (RDDs) and a directed acyclic graph (DAG) approach. RDDs support transformations like map, filter, and actions like collect. Transformations are lazy and form the DAG, while actions execute the DAG. RDDs support caching, partitioning, and sharing state through broadcasts and accumulators. The programming model aims to optimize the DAG through operations like predicate pushdown and partition coalescing.
FOSS4G refers to free and open source software for geospatial applications. Using FOSS4G provides benefits like increased flexibility, rapid innovation, lower costs, and ability to customize software to specific needs. Spatial SQL allows querying and analyzing spatial data in databases by treating geometry as another data type. PostGIS is an open source spatial database extender for PostgreSQL that allows GIS functions and spatial indexing to be used in queries. PostGIS supports common spatial functions and data types and provides better performance than desktop GIS software or file-based formats for large-scale spatial analysis and management tasks.
Vector Tiles with GeoServer and OpenLayersJody Garnett
The latest release of GeoServer adds support for creating Vector Tiles in GeoJSON, TopoJSON, and MapBox Vector Tiles format through its WMS service for all the vector data formats it supports. These tiles can be cached using GeoWebCache (built into GeoServer), and served with the various tiling protocols (TMS, WMTS, and WMS-C). Thanks to very recent OpenLayers 3 development, these Vector Tiles can be easily and efficiently styled on a map.
This technical talk will look at how GeoServer makes Vector Tiles accessible through standard OGC services and how they differ from normal WMS and WFS usage. It will also look at how OpenLayers 3 - as a simple-to-use vector tiles client - interacts with GeoServer to retrieve tiles and effectively manage and style them. OpenLayer 3’s extensive style infrastructure will be investigated.
This document discusses scaling machine learning using Apache Spark. It covers several key topics:
1) Parallelizing machine learning algorithms and neural networks to distribute computation across clusters. This includes data, model, and parameter server parallelism.
2) Apache Spark's Resilient Distributed Datasets (RDDs) programming model which allows distributing data and computation across a cluster in a fault-tolerant manner.
3) Examples of very large neural networks trained on clusters, such as a Google face detection model using 1,000 servers and a IBM brain-inspired chip model using 262,144 CPUs.
The dplyr package in R Programming Language is a structure of data manipulation that provides a uniform set of verbs, helping to resolve the most frequent data manipulation hurdles.
The Latest in Spatial & Temporal Search: Presented by David SmileyLucidworks
David Smiley presented on the latest developments in spatial and temporal search in Lucene and Solr. He discussed strategies for indexing and searching spatial data like polygons using approaches like RecursivePrefixTreeStrategy and SerializedDVStrategy. He also covered temporal search using approaches like date range fields and the upcoming DateRangePrefixTree. Recent contributions from students were highlighted and future work like spatial heatmaps was discussed.
This document provides information about a 1.5 month course on data structures offered by Baluja Labs located in New Delhi, India. The course fees are Rs. 4500/-. The course will cover topics such as arrays, lists, stacks, queues, trees, graphs, recursion, algorithms, complexity analysis, and more. It will also cover C++ memory allocation. The document lists the contact information for Baluja Labs and provides an outline of the topics that will be covered in the data structures course.
Spark's distributed programming model uses resilient distributed datasets (RDDs) and a directed acyclic graph (DAG) approach. RDDs support transformations like map, filter, and actions like collect. Transformations are lazy and form the DAG, while actions execute the DAG. RDDs support caching, partitioning, and sharing state through broadcasts and accumulators. The programming model aims to optimize the DAG through operations like predicate pushdown and partition coalescing.
FOSS4G refers to free and open source software for geospatial applications. Using FOSS4G provides benefits like increased flexibility, rapid innovation, lower costs, and ability to customize software to specific needs. Spatial SQL allows querying and analyzing spatial data in databases by treating geometry as another data type. PostGIS is an open source spatial database extender for PostgreSQL that allows GIS functions and spatial indexing to be used in queries. PostGIS supports common spatial functions and data types and provides better performance than desktop GIS software or file-based formats for large-scale spatial analysis and management tasks.
Vector Tiles with GeoServer and OpenLayersJody Garnett
The latest release of GeoServer adds support for creating Vector Tiles in GeoJSON, TopoJSON, and MapBox Vector Tiles format through its WMS service for all the vector data formats it supports. These tiles can be cached using GeoWebCache (built into GeoServer), and served with the various tiling protocols (TMS, WMTS, and WMS-C). Thanks to very recent OpenLayers 3 development, these Vector Tiles can be easily and efficiently styled on a map.
This technical talk will look at how GeoServer makes Vector Tiles accessible through standard OGC services and how they differ from normal WMS and WFS usage. It will also look at how OpenLayers 3 - as a simple-to-use vector tiles client - interacts with GeoServer to retrieve tiles and effectively manage and style them. OpenLayer 3’s extensive style infrastructure will be investigated.
This document discusses scaling machine learning using Apache Spark. It covers several key topics:
1) Parallelizing machine learning algorithms and neural networks to distribute computation across clusters. This includes data, model, and parameter server parallelism.
2) Apache Spark's Resilient Distributed Datasets (RDDs) programming model which allows distributing data and computation across a cluster in a fault-tolerant manner.
3) Examples of very large neural networks trained on clusters, such as a Google face detection model using 1,000 servers and a IBM brain-inspired chip model using 262,144 CPUs.
The dplyr package in R Programming Language is a structure of data manipulation that provides a uniform set of verbs, helping to resolve the most frequent data manipulation hurdles.
Variables, tipos de datos, operadores juan ventura
Este documento presenta conceptos básicos de programación en JavaScript, incluyendo tipos de datos, variables, operadores, y estructuras de control. Explica cómo definir variables, los cuatro tipos básicos de datos (cadena, numérico, booleano y undefined), y diferentes tipos de operadores como asignación, aritméticos, relacionales y lógicos. También introduce estructuras de decisión como IF/ELSE y de repetición como FOR, WHILE y CASE para controlar el flujo del programa.
Modern Branding en SharePoint desde todos los ángulos con HTML5 y Responsive Web Design - Cómo aplicar branding en SharePoint usando las nuevas tendencias de desarrollo web y desplegando desde Visual Studio
Este documento presenta información sobre conceptos fundamentales de programación estructurada como la resolución de problemas, datos, variables, constantes y operadores. Explica las fases de resolución de problemas como análisis, diseño y verificación de algoritmos. También describe tipos de datos como enteros, reales, caracteres y lógicos, y sus características.
The document discusses the potential economic and market impacts of rising protectionism in major economies like the US. It suggests markets are currently optimistic about growth due to expected fiscal stimulus, but are ignoring risks from increasing political distrust and potential trade conflicts. The impacts of protectionism could be more complex than in the 1930s due to stronger global economic links, and may initially stimulate growth but eventually lead to stagflation as retaliation offsets gains. Central banks would be unable to control inflation in this scenario and interest rates would remain low for longer.
El documento define e identifica los diferentes tipos de identificadores gráficos: logotipo, isotipo, imagotipo e isologo. Explica que el logotipo es la forma gráfica del nombre de una institución, el isotipo es una representación abstracta visual de una marca, el imagotipo fusiona el texto e icono en un solo elemento, e isologo se refiere a las iniciales o abreviatura de una marca usada en sellos.
El documento resume los diferentes tipos de cartas comerciales, incluyendo cartas de presentación, agradecimiento, recomendación, despido, solicitud, disculpa y reclamación. También describe dos estilos de cartas comerciales, el bloque extremo, que es el más sencillo y económico, y el semibloque.
Consideraciones de discos sql server hardwareEduardo Castro
El documento describe la distribución de archivos de datos (.ndf) de una base de datos SQL Server en varios LUN de almacenamiento en diferentes SAN, con cada LUN almacenando un archivo de datos individual. También incluye enlaces a documentación técnica de Microsoft SQL Server, Dell y HP sobre arquitecturas de alto rendimiento.
SQL Server Wait Types Everyone Should KnowDean Richards
Many people use wait types for performance tuning, but do not know what some of the most common ones indicate. This presentation will go into details about the top 8 wait types I see at the customers I work with. It will provide wait descriptions as well as solutions.
Este documento presenta los Servicios Cognitivos de Microsoft, que ofrecen APIs de visión, habla, lenguaje y otros para permitir que las aplicaciones tengan capacidades de inteligencia artificial como reconocimiento de imágenes, voz y lenguaje natural. Explica cómo estas APIs pueden usarse para casos de uso como detección de emociones, reconocimiento facial, análisis de sentimientos y más. Además, proporciona detalles sobre las mejores prácticas para desarrolladores al utilizar estos servicios.
Consideraciones de memoria sql server hardwareEduardo Castro
Este documento proporciona recomendaciones sobre el hardware para SQL Server, incluyendo el uso de servidores físicos o virtuales y la cantidad de memoria necesaria. Recomienda utilizar un servidor con al menos 2 sockets de CPU y habilitar hyper-threading. También indica que para In-Memory OLTP se necesita suficiente memoria física tanto para las tablas como para soportar la carga de trabajo, siendo un punto de partida tener el doble de memoria que el tamaño de los datos.
Este documento presenta las nuevas características de SQL Server 2016, incluyendo mejoras en el rendimiento de memoria, la nueva tecnología Always Encrypted para proteger datos, la tecnología Stretch Database para almacenar datos históricos en la nube de forma transparente, y analíticas avanzadas integradas. También menciona visualizaciones móviles nativas, Polybase para consultar datos relacionales y no relacionales, y copias de seguridad híbridas más rápidas.
Este documento proporciona recursos sobre cómo seleccionar hardware de servidor adecuado para SQL Server 2012, incluyendo consideraciones sobre la configuración y mantenimiento del servidor, diseño lógico y físico de bases de datos, definición e índices de mantenimiento, y evitar cuellos de botella en hardware como CPU, memoria, controlador de E/O y discos. Se ofrece información sobre el rendimiento de SQL Server y Windows.
Este documento describe las funcionalidades y características de seguridad de una nueva plataforma Windows convergente. La plataforma está diseñada para ambientes modernos y ofrece protección contra amenazas de seguridad modernas mediante la autenticación multifactor, protección de datos y credenciales, y actualizaciones gestionadas. La plataforma proporciona una experiencia de usuario consistente a través de dispositivos y permite soluciones innovadoras para la industria y el Internet de las Cosas.
La interfaz de base de datos describe menús y submenús para administrar datos almacenados en MySQL. Al seleccionar un submenú, se activa la seguridad requiriendo una clave antes de poder modificar o eliminar datos de tablas en la base de datos MySQL.
El documento presenta argumentos en contra de la privatización de la Empresa de Telecomunicaciones de Bogotá (ETB). Señala que la administración actual ha dilapidado activos de la empresa y ha empeorado sus indicadores financieros, aparentemente con el objetivo de devaluarla y facilitar su venta. También critica los intentos previos de privatización de ETB y afirma que la concentración del mercado que resultaría perjudicaría a los consumidores.
Spatial support in SQL Server 2008 R2 provides two spatial data types - geometry and geography. It includes a comprehensive set of spatial methods and high performance spatial indexes. The spatial library supports open geospatial standards and can be used to build location-aware applications.
Spatial data types allow for location-based queries by representing geometric objects like points, lines, and polygons. SQL Server supports both flat (GEOMETRY) and round earth (GEOGRAPHY) spatial data types that adhere to Open Geospatial Consortium standards. Spatial data can be input and output in different formats and queried using spatial methods and indexed for performance with spatial indexes.
Variables, tipos de datos, operadores juan ventura
Este documento presenta conceptos básicos de programación en JavaScript, incluyendo tipos de datos, variables, operadores, y estructuras de control. Explica cómo definir variables, los cuatro tipos básicos de datos (cadena, numérico, booleano y undefined), y diferentes tipos de operadores como asignación, aritméticos, relacionales y lógicos. También introduce estructuras de decisión como IF/ELSE y de repetición como FOR, WHILE y CASE para controlar el flujo del programa.
Modern Branding en SharePoint desde todos los ángulos con HTML5 y Responsive Web Design - Cómo aplicar branding en SharePoint usando las nuevas tendencias de desarrollo web y desplegando desde Visual Studio
Este documento presenta información sobre conceptos fundamentales de programación estructurada como la resolución de problemas, datos, variables, constantes y operadores. Explica las fases de resolución de problemas como análisis, diseño y verificación de algoritmos. También describe tipos de datos como enteros, reales, caracteres y lógicos, y sus características.
The document discusses the potential economic and market impacts of rising protectionism in major economies like the US. It suggests markets are currently optimistic about growth due to expected fiscal stimulus, but are ignoring risks from increasing political distrust and potential trade conflicts. The impacts of protectionism could be more complex than in the 1930s due to stronger global economic links, and may initially stimulate growth but eventually lead to stagflation as retaliation offsets gains. Central banks would be unable to control inflation in this scenario and interest rates would remain low for longer.
El documento define e identifica los diferentes tipos de identificadores gráficos: logotipo, isotipo, imagotipo e isologo. Explica que el logotipo es la forma gráfica del nombre de una institución, el isotipo es una representación abstracta visual de una marca, el imagotipo fusiona el texto e icono en un solo elemento, e isologo se refiere a las iniciales o abreviatura de una marca usada en sellos.
El documento resume los diferentes tipos de cartas comerciales, incluyendo cartas de presentación, agradecimiento, recomendación, despido, solicitud, disculpa y reclamación. También describe dos estilos de cartas comerciales, el bloque extremo, que es el más sencillo y económico, y el semibloque.
Consideraciones de discos sql server hardwareEduardo Castro
El documento describe la distribución de archivos de datos (.ndf) de una base de datos SQL Server en varios LUN de almacenamiento en diferentes SAN, con cada LUN almacenando un archivo de datos individual. También incluye enlaces a documentación técnica de Microsoft SQL Server, Dell y HP sobre arquitecturas de alto rendimiento.
SQL Server Wait Types Everyone Should KnowDean Richards
Many people use wait types for performance tuning, but do not know what some of the most common ones indicate. This presentation will go into details about the top 8 wait types I see at the customers I work with. It will provide wait descriptions as well as solutions.
Este documento presenta los Servicios Cognitivos de Microsoft, que ofrecen APIs de visión, habla, lenguaje y otros para permitir que las aplicaciones tengan capacidades de inteligencia artificial como reconocimiento de imágenes, voz y lenguaje natural. Explica cómo estas APIs pueden usarse para casos de uso como detección de emociones, reconocimiento facial, análisis de sentimientos y más. Además, proporciona detalles sobre las mejores prácticas para desarrolladores al utilizar estos servicios.
Consideraciones de memoria sql server hardwareEduardo Castro
Este documento proporciona recomendaciones sobre el hardware para SQL Server, incluyendo el uso de servidores físicos o virtuales y la cantidad de memoria necesaria. Recomienda utilizar un servidor con al menos 2 sockets de CPU y habilitar hyper-threading. También indica que para In-Memory OLTP se necesita suficiente memoria física tanto para las tablas como para soportar la carga de trabajo, siendo un punto de partida tener el doble de memoria que el tamaño de los datos.
Este documento presenta las nuevas características de SQL Server 2016, incluyendo mejoras en el rendimiento de memoria, la nueva tecnología Always Encrypted para proteger datos, la tecnología Stretch Database para almacenar datos históricos en la nube de forma transparente, y analíticas avanzadas integradas. También menciona visualizaciones móviles nativas, Polybase para consultar datos relacionales y no relacionales, y copias de seguridad híbridas más rápidas.
Este documento proporciona recursos sobre cómo seleccionar hardware de servidor adecuado para SQL Server 2012, incluyendo consideraciones sobre la configuración y mantenimiento del servidor, diseño lógico y físico de bases de datos, definición e índices de mantenimiento, y evitar cuellos de botella en hardware como CPU, memoria, controlador de E/O y discos. Se ofrece información sobre el rendimiento de SQL Server y Windows.
Este documento describe las funcionalidades y características de seguridad de una nueva plataforma Windows convergente. La plataforma está diseñada para ambientes modernos y ofrece protección contra amenazas de seguridad modernas mediante la autenticación multifactor, protección de datos y credenciales, y actualizaciones gestionadas. La plataforma proporciona una experiencia de usuario consistente a través de dispositivos y permite soluciones innovadoras para la industria y el Internet de las Cosas.
La interfaz de base de datos describe menús y submenús para administrar datos almacenados en MySQL. Al seleccionar un submenú, se activa la seguridad requiriendo una clave antes de poder modificar o eliminar datos de tablas en la base de datos MySQL.
El documento presenta argumentos en contra de la privatización de la Empresa de Telecomunicaciones de Bogotá (ETB). Señala que la administración actual ha dilapidado activos de la empresa y ha empeorado sus indicadores financieros, aparentemente con el objetivo de devaluarla y facilitar su venta. También critica los intentos previos de privatización de ETB y afirma que la concentración del mercado que resultaría perjudicaría a los consumidores.
Spatial support in SQL Server 2008 R2 provides two spatial data types - geometry and geography. It includes a comprehensive set of spatial methods and high performance spatial indexes. The spatial library supports open geospatial standards and can be used to build location-aware applications.
Spatial data types allow for location-based queries by representing geometric objects like points, lines, and polygons. SQL Server supports both flat (GEOMETRY) and round earth (GEOGRAPHY) spatial data types that adhere to Open Geospatial Consortium standards. Spatial data can be input and output in different formats and queried using spatial methods and indexed for performance with spatial indexes.
Enterprise geodatabase sql access and administrationbrentpierce
The document provides an overview of accessing and administering an enterprise geodatabase through SQL and Python. It discusses how the geodatabase is based on relational database principles with user data stored in tables and system metadata stored in system tables. It describes how spatial types store geometry data and the benefits of using SQL to access and edit geodatabase content. The document also outlines how Python can be used for geodatabase administration tasks like schema creation, maintenance, and publishing tools.
Covers the new Apache Lucene 4 spatial module. Includes Solr usage info. Applicable to ElasticSearch too.
Presented the 2012 Open Source Search in Government conference by Basis Technologies.
Apache Geode Meetup, Cork, Ireland at CITApache Geode
This document provides an introduction to Apache Geode (incubating), including:
- A brief history of Geode and why it was developed
- An overview of key Geode concepts such as regions, caching, and functions
- Examples of interesting large-scale use cases from companies like Indian Railways
- A demonstration of using Geode with Apache Spark and Spring XD for a stock prediction application
- Information on how to get involved with the Geode open source project community
The document discusses using GeoPackage as an alternative encoding for INSPIRE data. It describes GeoPackage's capabilities to store vector features, tile matrix sets, tile gridded coverage data, and attributes within a single SQLite database file. It outlines experiences encoding two INSPIRE themes - Geographical Names and Administrative Units - into GeoPackage format, including the mapping of the INSPIRE models and production of SQL schemas. The results showed file sizes of 352MB and 646MB for the two datasets, with transformation times of around 40 minutes.
The document discusses spatial SQL and databases. It provides an agenda for installing software, building a database, importing shapefiles, and writing queries. It then defines spatial SQL, discusses drivers for increased use of location data, and lists databases that support spatial SQL like Oracle, MySQL, SQL Server, Spatial Lite, and PostGIS. Finally, it covers functionality of spatial databases and shapefiles, and capabilities of PostGIS like spatial indexing.
The document discusses new features in SQL Server 2008 that improve data storage, analytics, performance, scalability, high availability, security, and manageability. Key highlights include:
- Storing and querying multiple data types like relational, documents, XML, and spatial data more efficiently
- Enhancements for analytics, reporting, and mixed queries using features like column sets and sparse columns
- Increased scalability through features such as resource governor, memory management improvements, and query optimization
- High availability options like database mirroring, failover clustering, and replication
- Security enhancements including encryption, auditing, and reduced attack surfaces
- Simplified administration using tools such as SQL Server Management
[Research] azure ml anatomy of a machine learning service - Sharat ChikkerurPAPIs.io
In this talk, we describe AzureML: a web service enabling software developers and data scientists to build predictive applications. AzureML provides several unique features. These include (a) Collaboration (b) Versioning (c) Graphical authoring(d) Push button operationalization and (e) Monetization. We outline the design principles, system design and lessons learned in building such a system.
Apache Geode is an open source in-memory data grid that provides data distribution, replication and high availability. It can be used for caching, messaging and interactive queries. The presentation discusses Geode concepts like cache, region and member. It provides examples of how large companies use Geode for applications requiring real-time response, high concurrency and global data visibility. Geode's performance comes from minimizing data copying and contention through flexible consistency and partitioning. The project is now hosted by Apache and the community is encouraged to get involved through mailing lists, code contributions and example applications.
The document summarizes recent developments in spatial and temporal search capabilities in Apache Lucene and Solr. It describes new features like the FlexPrefixTree for more optimized spatial indexing, approaches for indexing and searching date ranges using numeric prefix trees, and upcoming work on spatial heatmaps and term auto-prefixing to improve search performance. The presentation was given by David Smiley, a Lucene/Solr committer and expert, to provide an overview of the latest improvements.
U-SQL - Azure Data Lake Analytics for DevelopersMichael Rys
This document introduces U-SQL, a language for big data analytics on Azure Data Lake Analytics. U-SQL unifies SQL with imperative coding, allowing users to process both structured and unstructured data at scale. It provides benefits of both declarative SQL and custom code through an expression-based programming model. U-SQL queries can span multiple data sources and users can extend its capabilities through C# user-defined functions, aggregates, and custom extractors/outputters. The document demonstrates core U-SQL concepts like queries, joins, window functions, and the metadata model, highlighting how U-SQL brings together SQL and custom code for scalable big data analytics.
This chapter discusses software development security. It covers topics like programming concepts, compilers and interpreters, procedural vs object-oriented languages, application development methods like waterfall vs agile models, databases, object-oriented design, assessing software vulnerabilities, and artificial intelligence techniques. The key aspects are securing the entire software development lifecycle from initial planning through operation and disposal, using secure coding practices, testing for vulnerabilities, and continually improving processes.
The document discusses various topics related to software development security including programming concepts, compilers and interpreters, procedural vs object-oriented programming, application development methods like waterfall vs agile, database security concepts, and assessing software vulnerabilities. It provides an overview of machine code, source code, and assembly language. It also describes compilers and interpreters, top-down vs bottom-up programming, open source vs proprietary software, and the software development lifecycle (SDLC) process.
EDB's Migration Portal - Migrate from Oracle to PostgresEDB
This document discusses migrating from Oracle to PostgreSQL. It begins with an agenda that includes an EDB overview, reasons to migrate, components of a successful migration, and what EDB offers to help. EDB provides tools like PostgreSQL with Oracle compatibility features, migration portals and toolkits, and management products to aid in migrating from Oracle to their PostgreSQL platform. The presentation demonstrates migration tools and discusses identifying good candidates for migration and challenges to consider.
CISSP Prep: Ch 9. Software Development SecuritySam Bowne
The document discusses various topics related to software development security including programming concepts, compilers and interpreters, procedural vs object-oriented programming, software development lifecycles, agile development methods, database security, and object-oriented design. It also covers assessing software security through vulnerabilities, maturity models, and testing as well as artificial intelligence techniques.
Este documento describe la evolución de los grandes datos y la analítica, incluyendo el aumento de fuentes de datos, la comprensión de su valor, y la disminución de costos de hardware. También resume los componentes clave de Hadoop como HDFS, MapReduce, Hive y otros para el procesamiento y análisis de grandes cantidades de datos.
Creando tu primer ambiente de AI en Azure ML y SQL ServerEduardo Castro
Este documento proporciona una introducción a cómo crear el primer entorno de inteligencia artificial en Azure. Explica brevemente los beneficios de la inteligencia artificial y el aprendizaje automático para los negocios. Luego describe algunos de los servicios principales de Azure que pueden usarse para analizar datos, desarrollar modelos de aprendizaje automático y implementar soluciones de IA, como Azure Machine Learning, Databricks y HDInsight.
El documento describe las diferentes características y capacidades de seguridad disponibles en Azure SQL Database y Azure SQL Data Warehouse. Incluye gráficos que muestran el número de vulnerabilidades abordadas desde 2010 hasta 2018 y describe opciones como cifrado de datos en tránsito y en reposo, autenticación multifactor, firewalls, detección de amenazas, auditoría y más. El objetivo es ayudar a los clientes a proteger y auditar sus datos de manera segura en la nube.
Este documento describe cómo integrar Azure Synapse con MLflow para habilitar el seguimiento de experimentos de aprendizaje automático y el registro y despliegue de modelos en Azure Machine Learning. Explica cómo configurar los cuadernos de Azure Synapse para usar MLflow conectado a un área de trabajo de Azure Machine Learning, registrar modelos entrenados en Synapse en el registro de modelos de Azure ML y desplegarlos para su uso.
SQL Server can be installed on Windows Server 2022. Eduardo Castro provides a demonstration of how to install SQL Server on the latest Windows server operating system. His demonstration is available at a GitHub link that tracks an issue regarding documentation on installing SQL Server with Windows Server 2022.
El documento describe las nuevas características de SQL Server 2022, incluyendo la integración bidireccional con Azure SQL para replicación de datos, Azure Synapse Link para transferencia automática de cambios a Synapse Analytics, integración con Azure Purview para detección y clasificación de datos, mejoras en rendimiento a través de Query Store y optimización de planes, y mejoras en seguridad, disponibilidad y resolución de conflictos de réplicas.
SQL Server 2022 está habilitado para Azure para recuperación ante desastres, análisis y seguridad. Ofrece nuevas innovaciones como inteligencia de consultas integrada para mejorar el rendimiento, compatibilidad con almacenamiento de objetos y funciones extendidas de T-SQL para nuevos escenarios.
Machine Learning con Azure Managed InstanceEduardo Castro
En esta presentación mostramos las opciones para implementar Machine Learning dentro de Azure, así como las formas de configurar y utilizar Python dentro de Azure Managed Instance
El documento describe las nuevas características de SQL Server 2022, incluyendo la integración bidireccional con Azure SQL para replicación de datos, Azure Synapse Link para transferencia automática de cambios a Synapse Analytics, integración con Azure Purview para detección y clasificación de datos, mejoras en rendimiento a través de Query Store y optimización de planes, nuevas funciones de seguridad como ledger inmutable, y automatización de conflictos de réplicas en entornos de múltiples escrituras.
SQL Server can be installed on Windows Server 2022. Eduardo Castro provides a demonstration of how to install SQL Server on the latest Windows server operating system. His demonstration is available at a GitHub link that tracks an issue regarding documentation on installing SQL Server with Windows Server 2022.
Este documento presenta una introducción a Apache Spark y Azure Databricks. Explica que Spark es un motor de procesamiento de datos a gran escala de código abierto que incluye características como Spark SQL, aprendizaje automático, procesamiento de flujos y grafos. Luego describe cómo Azure Databricks es una plataforma unificada para análisis que utiliza Spark y ofrece mejor rendimiento, procesamiento de grandes volúmenes de datos y arquitectura de clústeres. Finalmente, incluye una demostración de las capacidades de
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Data warehouse con azure synapse analyticsEduardo Castro
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Spatial Data in SQL Server
1. 8/11/2011
SPATIAL SUPPORT IN
SQL SERVER 2008 R2
Ing. Eduardo Castro Martinez
ecastro@simsasys.com
http://tiny.cc/comwindows
http://ecastrom.blogspot.com
Presentation Source
• SQL Server 2008 R2 Update for Developers Training Kit
• http://www.microsoft.com/download/en/details.aspx?id=16281
• Building Location-Aware Applications with the SQL Server
Spatial Library
• Ed Katibah, Torsten Grabs and Olivier Meyer SQL Server Microsoft
Corporation
Relational and Non-Relational Data
• Relational data uses simple data types
• Each type has a single value
• Generic operations work well with the types
• Relational storage/query may not be optimal for
• Hierarchical data
• Sparse, variable, property bags
• Some types
• benefit by using a custom library
• use extended type system (complex types, inheritance)
• use custom storage and non-SQL APIs
• use non-relational queries and indexing
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Spatial Data
• Spatial data provides answers to location-based queries
• Which roads intersect the Microsoft campus?
• Does my land claim overlap yours?
• List all of the Italian restaurants within 5 kilometers
• Spatial data is part of almost every database
• If your database includes an address
Spatial Data Types
• The Open Geospatial Consortium defines a hierarchy of
spatial data types
• Point
• Linestring
• Polygon
• MultiPoint
• MultiLinestring
• MultiPolygon
• GeomCollection
• Non-instanciable classes based on these
OGC Hierarchy of Spatial Types
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SQL Server 2008 Spatial Summary
OVERVIEW FEATURES
• 2 Spatial Data Types (CLR UDT) • 2D Vector Data Support
• Comprehensive set of Spatial Methods • Open Geospatial Consortium Simple
• High Performance Spatial Indexes Features for SQL compatible
• Spatial Library • Supported By Major GIS Vendors
• Sink/Builder APIs ESRI, Intergraph, Autodesk, Pitney Bowes, Safe, etc.
• Management Studio Integration • Standard feature in SQL Server
Express, Workgroup, Web, Standard, Enterprise and
Developer
• Support for very large spatial objects
DETAILS
• Geography data type for geodetic Data
• Geometry data type for planar Data
• Standard spatial methods
STIntersects, STBuffer, STLength, STArea, etc.
• Standard spatial format support
WKT, WKB and GML
• Multiple spatial indexes per column
• Create new CLR-based spatial methods
with the Builder API
• Redistributable Spatial Library
SQLSysClrTypes
SQL Server Spatial Library Resources
SQL SERVER SPATIAL LIBRARY
Microsoft SQL Server System CLR Types
The SQL Server System CLR Types package contains the components
implementing the geometry, geography, and hierarchy id types in SQL Server
2008 R2. This component can be installed separately from the server to allow
client applications to use these types outside of the server.
X86 Package(SQLSysClrTypes_x86.msi) – 3,342 KB
X64 Package (SQLSysClrTypes._x64msi) – 3,459 KB
IA64 Package(SQLSysClrTypes_ia64.msi) – 5,352 KB
Search for: Microsoft SQL Server 2008 Feature Pack, October 2008
---
CODEPLEX SQL Server Spatial Tools
Code Samples Utilizing the SQL Server Spatial Library
SQL Server Spatial Tools – including source code for tools
Search for: Codeplex SQL Server Spatial Tools
SQL Server 2008 and Spatial Data
• SQL Server supports two spatial data types
• GEOMETRY - flat earth model
• GEOGRAPHY - round earth model
• Both types support all of the instanciable OGC types
• InstanceOf method can distinguish between them
• Supports two dimension data
• X and Y or Lat and Long members
• Z member - elevation (user-defined semantics)
• M member - measure (user-defined semantics)
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GEOGRAPHY Requirements
• GEOGRAPHY type has additional requirements
• Coordinate order is
• Longitude/Latitude for WKT, WKB
• Latitude/Longitude for GML
• Exterior polygon rings must have their describing
coordinates in counter-clockwise order (left-hand rule)
with interior rings (holes) in clockwise-order (right-hand
rule)
• A single GEOGRAPHY object cannot span more than a
logical hemisphere
SPATIAL DATA
demo
Properties and Methods
• The spatial data types are exposed as SQLCLR UDTs
• Use '.' syntax for properties
• Use '.' syntax for instance methods
• Use '::' syntax for static methods
• Methods and Properties are case-sensitive
• Each type uses a set of properties and methods that
correspond to OGC functionality
• With Extensions
• Geometry implements all OGC properties and methods
• Geography implements most OGC properties and methods
• 2-D vector only implemented
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Input
• Spatial data is stored in a proprietary binary format
• Instance of the type can be NULL
• Can be input as
• Well Known binary - ST[Type]FromWKB
• Well Known text - ST[Type]FromText
• Geography Markup Language (GML) - GeomFromGml
• Can also use SQLCLR functions
• Parse
• Point - extension function
• Input from SQLCLR Type - SqlGeometry, SqlGeography
• Spatial builder API – Populate,
IGeometrySink/IGeographySink
Output
• Spatial Data Can Be Output As
• Well Known binary - STAsBinary
• Well Known text - STAsText
• GML - AsGml
• Text with Z and M values - AsTextZM
• SQLCLR standard method
• ToString - returns Well Known text
• As SQLCLR object - SqlGeometry, SqlGeography
• Other useful formats are GeoRSS, KML
• Not Directly Supported
SRID
• Each instance of a spatial type must have an SRID
• Spatial Reference Identifier
• SRID specifies the specification used to compute it
• SRID 4326 - GPS, default for GEOGRAPHY
• SRID 4269 - usually used by ESRI
• SRID 0 - no special reference, default for GEOMETRY
• Methods that use multiple spatial types (e.g., STDistance)
must have types with matching SRID
• Else method returns NULL
• Geography instance must reference one of these SRID
stored in sys.spatial_reference_systems
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Useful Methods/Properties
• Descriptive
• STArea
• STLength
• STCentroid
• Relation between two instances
• STIntersects
• STDistance
• Manipulation
• STUnion
• STSymDifference
• Collections
• STGeometryN
• STPointN
Sample Query
SELECT *
Which roads intersect Microsoft’s main campus?
FROM roads
WHERE roads.geom.STIntersects(@ms)=1
Extension Methods
• SQL Server 2008 extends OGC methods
• MakeValid - Converts to OGC valid instance
• BufferWithTolerence - similar to STBuffer, allows approximation and
variation
• Reduce - Simplify a complex geography or geometry
• NumRings, RingN - polygons with multiple rings
• GML support
• Z and M properties and AsTextZM method
• Filter - provides a quick intersection set but with false positives
• EnvelopeCenter,EnvelopeAngle for Geography types
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Spatial Indexes
• SQL Server Spatial Indexes Based on B-Trees
• Uses tessellation to tile 2D to linear
• Divides space into grid of cells(uses Hilbert algorithm)
• Meant as a first level of row elimination
• Can produce false positives
• Never false negatives
• You specify
• Bounding box of top level grid - GEOMETRY index only
• Cells per object - number of cells recorded for matching
• Grids
• Four Grid Levels
• Three Grid Densities Per Level - Low, Medium, High
Tessellation process
SPATIAL ANALYTICS
demo
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8. 8/11/2011
What is CEP?
Complex Event Processing (CEP) is the continuous and
incremental processing of event streams from multiple
sources based on declarative query and pattern specifications
with near-zero latency.
Database Applications Event-driven Applications
Query Ad-hoc queries or Continuous standing
Paradigm requests queries
Latency Seconds, hours, days Milliseconds or less
Data Rate Hundreds of events/sec Tens of thousands of
events/sec or more
request Event
output
input stream
response stream
Shuttle Tracker
519,000+ data points, covering 1 day of operation
Review
• Spatial data provides answers to location-based queries
• SQL Server supports two spatial data types
• GEOMETRY - flat earth model
• GEOGRAPHY - round earth model
• Spatial data has
• Useful properties and functions
• Library of spatial functions
• Three standard input and output formats
• Spatial indexes
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