SQL Azure Federations
•Download as PPTX, PDF•
0 likes•525 views
SQL Azure Federations allow horizontal scaling of databases in SQL Azure. Federations partition database tables across multiple database servers or shards. Each federation member contains a subset of rows from a table based on the federation key value. The root member contains metadata and global data while federation members provide physical data separation and can have their own schemas. However, federations have limitations such as requiring an INT, BIGINT, UNIQUEIDENTIFIER or VARBINARY distribution key and not supporting NULL values or IDENTITY properties for federated columns.
Report
Share
Report
Share
Recommended
Advance database systems (part 1)
This document provides an overview of relational database management systems (RDBMS). It defines key database concepts like data, information, and database systems. It also explains the hierarchical structure of DBMS and compares flat file databases to relational databases. Relational databases incorporate multiple normalized tables that can be related to each other, while flat files put all data in a single table without relationships between files.
SQL_database_skills_survey
The document summarizes the author's experience and knowledge of SQL and relational databases, obtained through 15 years of on-the-job experience using databases and reinforced with college coursework. It lists topics the author is familiar with, including SQL commands, functions and queries; relational database concepts like normalization and keys; entity relationship modeling; and database administration topics such as transactions, isolation levels, and security.
Week10
An internet search engine uses keywords entered by users to search its database of indexed web pages, images, and other files. The search engine applies algorithms to analyze the links between pages and the words on the pages to find and rank relevant results that it returns to the user. A database is a structured collection of stored data that search engines index to support keyword searches across the web.
Introduction to nosql
Introduction to NOSQL covering the basics and the the issues with RDBMS and discovering the various types of NOSQL databases with their advantages and limitations
Scaling SQL and NoSQL Databases in the Cloud
Database performance is the number-one cause of poor performance for scalable web applications, and the problem is magnified in cloud environments where I/O and bandwidth are generally slower and less predictable than in dedicated data centers. Database sharding is a highly effective method of removing the database scalability barrier by operating on top of proven RDBMS products such as MySQL and Postgres as well as the new NoSQL database platforms. In this session, you'll learn what it really takes to implement sharding, the role it plays in the effective end-to-end lifecycle management of your entire database environment, why it is crucial for ensuring reliability, and how to choose the best technology for a specific application. We'll also share a case study on a high-volume social networking application that demonstrates the effectiveness of database sharding for scaling cloud-based applications.
Getting started with entity framework revised 9 09
- LINQ to SQL provides a lighter-weight ORM focused only on SQL Server, while Entity Framework supports multiple databases.
- LINQ to SQL uses a code-first approach and only supports simple 1-to-1 mapping, while Entity Framework uses a model-first approach and supports more complex mapping scenarios.
- Entity Framework has richer modeling capabilities through the Entity Data Model (EDM), while LINQ to SQL has more limited modeling.
- Entity Framework is the recommended Microsoft ORM going forward, while LINQ to SQL is considered a predecessor and will be maintained but not actively developed.
IaaS: Windows Azure Virtual Machines
IaaS: Virtual Machines provides an overview of virtual machines on the Microsoft Azure platform. It discusses that virtual machines can be used to deploy various application types like web applications, services, and websites. It also describes the different sizes and configurations of virtual machines available on Azure, including their CPU, memory, disk space allocations. The document outlines key considerations for using virtual machines like storage, availability sets, service level agreements and licensing.
Windows Azure PowerShell CmdLets
Command line tools like PowerShell, Bash, and Bash allow you to manage Azure resources and perform operations through simple commands and syntax. These tools provide a unified standard to manage resources across platforms using REST APIs under the hood. SDKs act as wrappers that make REST API usage easier from various programming languages, while command line tools allow managing subscriptions, storage accounts, virtual machines, databases, and other resources through intuitive verbs and parameters. PowerShell cmdlets support all typical PowerShell features like variables, indexing, filtering and properties to provide full control and automation capabilities.
Recommended
Advance database systems (part 1)
This document provides an overview of relational database management systems (RDBMS). It defines key database concepts like data, information, and database systems. It also explains the hierarchical structure of DBMS and compares flat file databases to relational databases. Relational databases incorporate multiple normalized tables that can be related to each other, while flat files put all data in a single table without relationships between files.
SQL_database_skills_survey
The document summarizes the author's experience and knowledge of SQL and relational databases, obtained through 15 years of on-the-job experience using databases and reinforced with college coursework. It lists topics the author is familiar with, including SQL commands, functions and queries; relational database concepts like normalization and keys; entity relationship modeling; and database administration topics such as transactions, isolation levels, and security.
Week10
An internet search engine uses keywords entered by users to search its database of indexed web pages, images, and other files. The search engine applies algorithms to analyze the links between pages and the words on the pages to find and rank relevant results that it returns to the user. A database is a structured collection of stored data that search engines index to support keyword searches across the web.
Introduction to nosql
Introduction to NOSQL covering the basics and the the issues with RDBMS and discovering the various types of NOSQL databases with their advantages and limitations
Scaling SQL and NoSQL Databases in the Cloud
Database performance is the number-one cause of poor performance for scalable web applications, and the problem is magnified in cloud environments where I/O and bandwidth are generally slower and less predictable than in dedicated data centers. Database sharding is a highly effective method of removing the database scalability barrier by operating on top of proven RDBMS products such as MySQL and Postgres as well as the new NoSQL database platforms. In this session, you'll learn what it really takes to implement sharding, the role it plays in the effective end-to-end lifecycle management of your entire database environment, why it is crucial for ensuring reliability, and how to choose the best technology for a specific application. We'll also share a case study on a high-volume social networking application that demonstrates the effectiveness of database sharding for scaling cloud-based applications.
Getting started with entity framework revised 9 09
- LINQ to SQL provides a lighter-weight ORM focused only on SQL Server, while Entity Framework supports multiple databases.
- LINQ to SQL uses a code-first approach and only supports simple 1-to-1 mapping, while Entity Framework uses a model-first approach and supports more complex mapping scenarios.
- Entity Framework has richer modeling capabilities through the Entity Data Model (EDM), while LINQ to SQL has more limited modeling.
- Entity Framework is the recommended Microsoft ORM going forward, while LINQ to SQL is considered a predecessor and will be maintained but not actively developed.
IaaS: Windows Azure Virtual Machines
IaaS: Virtual Machines provides an overview of virtual machines on the Microsoft Azure platform. It discusses that virtual machines can be used to deploy various application types like web applications, services, and websites. It also describes the different sizes and configurations of virtual machines available on Azure, including their CPU, memory, disk space allocations. The document outlines key considerations for using virtual machines like storage, availability sets, service level agreements and licensing.
Windows Azure PowerShell CmdLets
Command line tools like PowerShell, Bash, and Bash allow you to manage Azure resources and perform operations through simple commands and syntax. These tools provide a unified standard to manage resources across platforms using REST APIs under the hood. SDKs act as wrappers that make REST API usage easier from various programming languages, while command line tools allow managing subscriptions, storage accounts, virtual machines, databases, and other resources through intuitive verbs and parameters. PowerShell cmdlets support all typical PowerShell features like variables, indexing, filtering and properties to provide full control and automation capabilities.
Relational
This document provides an overview of relational database design for geographic information systems (GIS). It discusses how GIS databases can be designed using a relational model with spatial data stored in tables along with associated attribute data for efficient management and analysis. The key aspects covered include normalization of tables, use of primary and foreign keys to link features to their attributes, and queries using SQL to access both spatial and non-spatial data together. Maintaining data integrity and relationships between features and attributes is also emphasized.
Sql azure federations
This presentation introduces SQL Azure Federations as a method for scaling databases in SQL Azure. Federations allow partitioning of large databases across multiple federation members. Key concepts discussed include the federation and member terminology, creating federated tables, and tools for managing federations. The presentation also covers monitoring federation operations and metadata, how billing works for federations, and resources for learning more about SQL Azure federations.
Inb343 week2 sql server intro
SQL Server 2008 is a relational database management system and enterprise data platform. It includes components like the database engine, integration services, analysis services, and reporting services. The database engine efficiently stores, retrieves, and manipulates relational and XML data. SQL Server 2008 allows databases to be partitioned across multiple files for large tables. Other database objects in SQL Server 2008 include indexes, triggers, constraints, diagrams, and views.
Sql
RDBMS are database management systems that store data in tables and define relationships between tables. Normalization is the process of organizing data to minimize redundancy by isolating data into tables and defining relationships between tables. Different normalization forms like 1NF, 2NF, 3NF, BCNF etc. are used to organize data with increasing levels of normalization. Stored procedures, triggers, views, indexes, cursors and other objects are used to manage, secure and optimize data and queries in a relational database.
153680 sqlinterview
RDBMS are database management systems that store data in tables and define relationships between tables. Normalization is the process of organizing data to minimize redundancy by isolating data into tables and defining relationships between tables. Different normalization forms like 1NF, 2NF, 3NF, BCNF etc. are used to organize data with increasing levels of normalization. Stored procedures, triggers, views, indexes, cursors and other objects are used to manage, query and maintain the database.
Sql Interview Questions
RDBMS are database management systems that store data in tables and define relationships between tables. Normalization is the process of organizing data to minimize redundancy by isolating data into tables and defining relationships between tables. Different normalization forms like 1NF, 2NF, 3NF, BCNF etc. are used to organize data with increasing isolation of data anomalies. Stored procedures, triggers, views, indexes, cursors and other objects are used to manage, secure and optimize data and queries in a relational database.
Sql
RDBMS are database management systems that store data in tables and define relationships between tables. Normalization is the process of organizing data to minimize redundancy by isolating data into tables and defining relationships between tables. Different normalization forms like 1NF, 2NF, 3NF, BCNF etc. are used to organize data with increasing levels of normalization. Stored procedures, triggers, views, indexes, cursors and other database objects are used to manage, secure and optimize data and queries in a database.
Sql
RDBMS are database management systems that store data in tables and define relationships between tables. Normalization is the process of organizing data to minimize redundancy by isolating data into tables and defining relationships between tables. Different normalization forms like 1NF, 2NF, 3NF, BCNF etc. are used to organize data with increasing levels of normalization. Stored procedures, triggers, views, indexes, cursors and other objects are used to manage, secure and optimize data and queries in a database.
Chapter – 3 Database Design P-I.pdf
The document provides an overview of database design concepts including:
- Relational integrity rules like domain, entity, referential, and enterprise integrity
- Key constraints such as super keys, candidate keys, primary keys, foreign keys, and composite keys
- Relational views which provide a customized view of data without showing unnecessary information
- The difference between database schemas which define the structure and instances which are the actual data
- The three levels of database design including conceptual, logical and physical design
- Entity relationship diagrams and how they represent entities, attributes, and relationships between entities using connectors and cardinalities
Facebook's TAO & Unicorn data storage and search platforms
Unicorn is Facebook's in-memory, distributed graph search system that allows users to perform complex queries over the social graph. It supports operators like Apply and Extract that enable multi-step graph traversals to find socially relevant results. Unicorn stores adjacency lists in a sharded architecture and uses techniques like weak AND to balance social proximity and result diversity. It also attaches lineage metadata to results to allow privacy-aware rendering of results by Facebook's frontend services.
Mitigating Risk and Ensuring Compliance in Finance Using a Robust Data Govern...
Watch full webinar here: https://buff.ly/3sFrt1e
Establishing robust data governance frameworks is crucial for managing and ensuring the data quality, integrity, and security for financial institutions. Attend this webinar to learn how Denodo can help mitigate risks to ensure regulatory compliance and enhance financial stability.
Join us for this technical deep-dive session to learn:
- How to easily connect to disparate data sources to dissolve functional silos
- How to fulfill requirements for data quality, security and documentation
- How to make data easily consumable to stakeholders to help them create their risk and compliance reports
Getting to know oracle database objects iot, mviews, clusters and more…
This document provides an overview of various Oracle database objects and storage structures including:
- Index-organized tables store data within the index based on key values for faster access times and reduced storage.
- Materialized views store the results of a query for faster access instead of re-executing joins and aggregations.
- Virtual indexes allow testing whether a potential new index would be used by the optimizer before implementing.
The presenter discusses how different segment types like index-organized tables, materialized views, and clusters can reduce I/O and improve query performance by organizing data to reduce physical reads and consistent gets. Experienced Oracle DBAs use these features to minimize disk I/O, the greatest factor in
Hpts 2011 flexible_oltp
This document discusses trends in transaction systems and proposes more flexible data models for the future. It summarizes concepts in VMware GemFire/SQLFire and proposes techniques like entity grouping and object columns with dynamic attributes to enable more flexible schemas that can scale for transaction workloads. The document suggests that future systems may support objects, SQL and JSON in a single distributed data store.
Data base management system and Architecture ppt.
This document provides an overview of database management systems (DBMS) and database architecture. It discusses what a DBMS is, including that it enables creation, access and modification of databases. It then describes the four main types of DBMS: hierarchical, network, relational and object-oriented. For each type it provides a brief explanation of its structure and functionality. The document concludes with a discussion of the typical functionality of a DBMS and a description of database architecture, including the global conceptual schema, fragmentation and allocation schema, and local schemas.
NoSql
“not only SQL.”
NoSQL databases are databases store data in a format other than relational tables.
NoSQL databases or non-relational databases don’t store relationship data well.
Lecture 2 sql {basics date type, constrains , integrity types etc.}
This document provides an overview of structured query language (SQL) including:
- SQL is used to store, manipulate and retrieve data from relational databases.
- It allows users to access, describe, define, embed, create, drop, and set permissions on database objects.
- When executing SQL commands, a query dispatcher and optimization engines determine the best way to carry out the request by figuring out how to interpret the task.
- SQL defines constraints like NOT NULL, DEFAULT, UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK to maintain data integrity.
- It supports various data types including character, numeric, date/time, large object, and rowid data types.
- SQL statements are
Santosh Kumar Meher(2105040008) DISTRIBUTED DATABASE.pptx
Distributed database consists of multiple databases that are connected with each other and are spread across different physical locations. The data that is stored on various physical locations can thus be managed independently of other physical locations. The communication between databases at different physical locations is thus done by a computer network.
A distributed database is a database that is not limited to one computer system.
It is like a database that consists of two or more files located in different computers or sites either on the same network or on an entirely different network.
Instead of storing all of the data in one database, data is divided and stored at different locations or sites which do not share any physical component.
The data can be easily accessed, managed, modified, updated, controlled, and organized in a database.
INFORMATION TECHNOLOGY PRESENTATION ON INFORMATON MANAGEMENT.pptx
A flat-file database stores records in a simple file without structures for indexing or recognizing relationships between records. It has disadvantages like being harder to update and query. A relational database separates logical and physical structures and makes it easy to sort and find structured data. However, it can only store tabular data, limiting complex relationships. A hierarchical database organizes data in a tree structure with parent-child relationships. It has advantages for efficiency but rigid structure and data duplication. A network database uses a graph schema to flexibly represent object relationships but requires more complex management.
Azure sql database limitations
This document summarizes the limitations of Azure SQL Database. Key limitations include not being able to change collation settings of system objects, use Windows authentication, manage high availability features, or use various SQL Server tools and stored procedures. The document provides a detailed list of limitations across database and T-SQL functionality, database internals, and other areas in comparison to on-premises SQL Server. It advises checking official Microsoft documentation for the most up-to-date information.
Csld phan tan va song song
This document provides an overview of key concepts in parallel and distributed database systems. It discusses motivations for parallelism and distribution such as improved performance and reliability. It describes types of parallelism and benefits and drawbacks of distributed database management systems (DDBMS). It outlines Date's 12 rules for distributed database design, including concepts like local autonomy, transparency, and independence. It also discusses query processing, distributed transactions, hardware/DBMS independence, and the history of parallel and distributed databases.
Azure Recovery Services
This document discusses Azure Backup (Recovery Services) and provides an overview of its key concepts and usage scenarios. Azure Backup allows backing up of on-premises servers and virtual machines to Azure storage. It uses storage vaults mapped to Azure Blob storage to store backup recovery points. The Azure Backup Agent installs on machines to perform backups and restores and manage the backup schedule. Site Recovery allows disaster recovery between on-premises and Azure environments, or between two on-premises sites. References and contacts are provided for further information.
Microsoft Azure Media Services
This document provides an overview of Microsoft Azure Media Services for encoding, packaging and streaming media. It describes Media Services' support for common input/output formats and codecs for video and audio encoding. Tasks define processing instructions for assets containing media files and associated metadata. Jobs coordinate task execution across processors. Streaming can be static via packaged files or dynamic via just-in-time encoding. Pricing is based on data processed and reserved units for parallel tasks or streaming bandwidth.
More Related Content
Similar to SQL Azure Federations
Relational
This document provides an overview of relational database design for geographic information systems (GIS). It discusses how GIS databases can be designed using a relational model with spatial data stored in tables along with associated attribute data for efficient management and analysis. The key aspects covered include normalization of tables, use of primary and foreign keys to link features to their attributes, and queries using SQL to access both spatial and non-spatial data together. Maintaining data integrity and relationships between features and attributes is also emphasized.
Sql azure federations
This presentation introduces SQL Azure Federations as a method for scaling databases in SQL Azure. Federations allow partitioning of large databases across multiple federation members. Key concepts discussed include the federation and member terminology, creating federated tables, and tools for managing federations. The presentation also covers monitoring federation operations and metadata, how billing works for federations, and resources for learning more about SQL Azure federations.
Inb343 week2 sql server intro
SQL Server 2008 is a relational database management system and enterprise data platform. It includes components like the database engine, integration services, analysis services, and reporting services. The database engine efficiently stores, retrieves, and manipulates relational and XML data. SQL Server 2008 allows databases to be partitioned across multiple files for large tables. Other database objects in SQL Server 2008 include indexes, triggers, constraints, diagrams, and views.
Sql
RDBMS are database management systems that store data in tables and define relationships between tables. Normalization is the process of organizing data to minimize redundancy by isolating data into tables and defining relationships between tables. Different normalization forms like 1NF, 2NF, 3NF, BCNF etc. are used to organize data with increasing levels of normalization. Stored procedures, triggers, views, indexes, cursors and other objects are used to manage, secure and optimize data and queries in a relational database.
153680 sqlinterview
RDBMS are database management systems that store data in tables and define relationships between tables. Normalization is the process of organizing data to minimize redundancy by isolating data into tables and defining relationships between tables. Different normalization forms like 1NF, 2NF, 3NF, BCNF etc. are used to organize data with increasing levels of normalization. Stored procedures, triggers, views, indexes, cursors and other objects are used to manage, query and maintain the database.
Sql Interview Questions
RDBMS are database management systems that store data in tables and define relationships between tables. Normalization is the process of organizing data to minimize redundancy by isolating data into tables and defining relationships between tables. Different normalization forms like 1NF, 2NF, 3NF, BCNF etc. are used to organize data with increasing isolation of data anomalies. Stored procedures, triggers, views, indexes, cursors and other objects are used to manage, secure and optimize data and queries in a relational database.
Sql
RDBMS are database management systems that store data in tables and define relationships between tables. Normalization is the process of organizing data to minimize redundancy by isolating data into tables and defining relationships between tables. Different normalization forms like 1NF, 2NF, 3NF, BCNF etc. are used to organize data with increasing levels of normalization. Stored procedures, triggers, views, indexes, cursors and other database objects are used to manage, secure and optimize data and queries in a database.
Sql
RDBMS are database management systems that store data in tables and define relationships between tables. Normalization is the process of organizing data to minimize redundancy by isolating data into tables and defining relationships between tables. Different normalization forms like 1NF, 2NF, 3NF, BCNF etc. are used to organize data with increasing levels of normalization. Stored procedures, triggers, views, indexes, cursors and other objects are used to manage, secure and optimize data and queries in a database.
Chapter – 3 Database Design P-I.pdf
The document provides an overview of database design concepts including:
- Relational integrity rules like domain, entity, referential, and enterprise integrity
- Key constraints such as super keys, candidate keys, primary keys, foreign keys, and composite keys
- Relational views which provide a customized view of data without showing unnecessary information
- The difference between database schemas which define the structure and instances which are the actual data
- The three levels of database design including conceptual, logical and physical design
- Entity relationship diagrams and how they represent entities, attributes, and relationships between entities using connectors and cardinalities
Facebook's TAO & Unicorn data storage and search platforms
Unicorn is Facebook's in-memory, distributed graph search system that allows users to perform complex queries over the social graph. It supports operators like Apply and Extract that enable multi-step graph traversals to find socially relevant results. Unicorn stores adjacency lists in a sharded architecture and uses techniques like weak AND to balance social proximity and result diversity. It also attaches lineage metadata to results to allow privacy-aware rendering of results by Facebook's frontend services.
Mitigating Risk and Ensuring Compliance in Finance Using a Robust Data Govern...
Watch full webinar here: https://buff.ly/3sFrt1e
Establishing robust data governance frameworks is crucial for managing and ensuring the data quality, integrity, and security for financial institutions. Attend this webinar to learn how Denodo can help mitigate risks to ensure regulatory compliance and enhance financial stability.
Join us for this technical deep-dive session to learn:
- How to easily connect to disparate data sources to dissolve functional silos
- How to fulfill requirements for data quality, security and documentation
- How to make data easily consumable to stakeholders to help them create their risk and compliance reports
Getting to know oracle database objects iot, mviews, clusters and more…
This document provides an overview of various Oracle database objects and storage structures including:
- Index-organized tables store data within the index based on key values for faster access times and reduced storage.
- Materialized views store the results of a query for faster access instead of re-executing joins and aggregations.
- Virtual indexes allow testing whether a potential new index would be used by the optimizer before implementing.
The presenter discusses how different segment types like index-organized tables, materialized views, and clusters can reduce I/O and improve query performance by organizing data to reduce physical reads and consistent gets. Experienced Oracle DBAs use these features to minimize disk I/O, the greatest factor in
Hpts 2011 flexible_oltp
This document discusses trends in transaction systems and proposes more flexible data models for the future. It summarizes concepts in VMware GemFire/SQLFire and proposes techniques like entity grouping and object columns with dynamic attributes to enable more flexible schemas that can scale for transaction workloads. The document suggests that future systems may support objects, SQL and JSON in a single distributed data store.
Data base management system and Architecture ppt.
This document provides an overview of database management systems (DBMS) and database architecture. It discusses what a DBMS is, including that it enables creation, access and modification of databases. It then describes the four main types of DBMS: hierarchical, network, relational and object-oriented. For each type it provides a brief explanation of its structure and functionality. The document concludes with a discussion of the typical functionality of a DBMS and a description of database architecture, including the global conceptual schema, fragmentation and allocation schema, and local schemas.
NoSql
“not only SQL.”
NoSQL databases are databases store data in a format other than relational tables.
NoSQL databases or non-relational databases don’t store relationship data well.
Lecture 2 sql {basics date type, constrains , integrity types etc.}
This document provides an overview of structured query language (SQL) including:
- SQL is used to store, manipulate and retrieve data from relational databases.
- It allows users to access, describe, define, embed, create, drop, and set permissions on database objects.
- When executing SQL commands, a query dispatcher and optimization engines determine the best way to carry out the request by figuring out how to interpret the task.
- SQL defines constraints like NOT NULL, DEFAULT, UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK to maintain data integrity.
- It supports various data types including character, numeric, date/time, large object, and rowid data types.
- SQL statements are
Santosh Kumar Meher(2105040008) DISTRIBUTED DATABASE.pptx
Distributed database consists of multiple databases that are connected with each other and are spread across different physical locations. The data that is stored on various physical locations can thus be managed independently of other physical locations. The communication between databases at different physical locations is thus done by a computer network.
A distributed database is a database that is not limited to one computer system.
It is like a database that consists of two or more files located in different computers or sites either on the same network or on an entirely different network.
Instead of storing all of the data in one database, data is divided and stored at different locations or sites which do not share any physical component.
The data can be easily accessed, managed, modified, updated, controlled, and organized in a database.
INFORMATION TECHNOLOGY PRESENTATION ON INFORMATON MANAGEMENT.pptx
A flat-file database stores records in a simple file without structures for indexing or recognizing relationships between records. It has disadvantages like being harder to update and query. A relational database separates logical and physical structures and makes it easy to sort and find structured data. However, it can only store tabular data, limiting complex relationships. A hierarchical database organizes data in a tree structure with parent-child relationships. It has advantages for efficiency but rigid structure and data duplication. A network database uses a graph schema to flexibly represent object relationships but requires more complex management.
Azure sql database limitations
This document summarizes the limitations of Azure SQL Database. Key limitations include not being able to change collation settings of system objects, use Windows authentication, manage high availability features, or use various SQL Server tools and stored procedures. The document provides a detailed list of limitations across database and T-SQL functionality, database internals, and other areas in comparison to on-premises SQL Server. It advises checking official Microsoft documentation for the most up-to-date information.
Csld phan tan va song song
This document provides an overview of key concepts in parallel and distributed database systems. It discusses motivations for parallelism and distribution such as improved performance and reliability. It describes types of parallelism and benefits and drawbacks of distributed database management systems (DDBMS). It outlines Date's 12 rules for distributed database design, including concepts like local autonomy, transparency, and independence. It also discusses query processing, distributed transactions, hardware/DBMS independence, and the history of parallel and distributed databases.
Similar to SQL Azure Federations (20)
Facebook's TAO & Unicorn data storage and search platforms
Facebook's TAO & Unicorn data storage and search platforms
Mitigating Risk and Ensuring Compliance in Finance Using a Robust Data Govern...
Mitigating Risk and Ensuring Compliance in Finance Using a Robust Data Govern...
Getting to know oracle database objects iot, mviews, clusters and more…
Getting to know oracle database objects iot, mviews, clusters and more…
Lecture 2 sql {basics date type, constrains , integrity types etc.}
Lecture 2 sql {basics date type, constrains , integrity types etc.}
Santosh Kumar Meher(2105040008) DISTRIBUTED DATABASE.pptx
Santosh Kumar Meher(2105040008) DISTRIBUTED DATABASE.pptx
INFORMATION TECHNOLOGY PRESENTATION ON INFORMATON MANAGEMENT.pptx
INFORMATION TECHNOLOGY PRESENTATION ON INFORMATON MANAGEMENT.pptx
More from Pavel Revenkov
Azure Recovery Services
This document discusses Azure Backup (Recovery Services) and provides an overview of its key concepts and usage scenarios. Azure Backup allows backing up of on-premises servers and virtual machines to Azure storage. It uses storage vaults mapped to Azure Blob storage to store backup recovery points. The Azure Backup Agent installs on machines to perform backups and restores and manage the backup schedule. Site Recovery allows disaster recovery between on-premises and Azure environments, or between two on-premises sites. References and contacts are provided for further information.
Microsoft Azure Media Services
This document provides an overview of Microsoft Azure Media Services for encoding, packaging and streaming media. It describes Media Services' support for common input/output formats and codecs for video and audio encoding. Tasks define processing instructions for assets containing media files and associated metadata. Jobs coordinate task execution across processors. Streaming can be static via packaged files or dynamic via just-in-time encoding. Pricing is based on data processed and reserved units for parallel tasks or streaming bandwidth.
Windows Azure Caching
This document discusses caching services available on Windows Azure, including content delivery networks (CDNs) and caching. It describes how CDNs deliver content closer to end users, and caching stores frequently accessed data closer to Azure applications. Caching on Azure can be done through dedicated roles, co-location with applications, or shared caching services. The document outlines characteristics of CDNs like dedicated endpoints and worldwide datacenters. It also provides examples of caching configuration and workflows in Visual Studio and code samples for putting and getting items from the cache.
Windows Azure Active Directory
Windows Azure Active Directory provides identity and access management in the cloud. It acts as an identity provider and security token service, supporting protocols like WS-Federation, OAuth 2.0 and SAML 2.0. It offers single sign-on for Azure applications, manages users and groups, and can integrate with on-premises Active Directory. Benefits include not needing to implement your own authorization and avoiding single points of failure compared to Active Directory Federation Services.
Windows Azure Versioning Strategies
This document discusses different versioning strategies for cloud services. It presents strategies for versioning production and staging environments, isolating environments for different roles like QA and developers, using separate subscriptions to isolate environments and billing, and approaches for versioning SQL databases and WCF contracts. The key strategies covered include using slots or instances to separate environments, federating SQL databases by tenant or version, and supporting multiple versions of WCF contracts through single or multiple endpoints. References are provided for further reading on managing cloud services, versioning SQL databases, and WCF versioning strategies.
Windows Azure Zero Downtime Upgrade
This document compares different approaches for performing zero downtime upgrades of applications hosted on Microsoft Azure: Web Deploy, VIP-swap, load balanced endpoints, and Traffic Manager. Web Deploy allows automatic updates of web roles with minor changes but requires an RDP connection. VIP-swap uses DNS swapping to test upgrades on a staging environment with fast redirection. Load balanced endpoints provides easy scaling but requires manual upgrades and running multiple versions simultaneously. Traffic Manager also uses DNS for isolated testing and fast redirection between environments, but incurs additional costs.
Windows Azure Service Bus
This document provides an overview of Microsoft Azure Service Bus and compares it to Azure Queues. Service Bus allows applications and services to communicate over reliable messaging even if they are not connected all the time. It supports queuing and publish/subscribe capabilities. Service Bus Queues offer more features than Azure Queues, including larger message sizes, unlimited time-to-live for messages, and publish/subscribe capabilities using topics and subscriptions. The document also describes how to configure applications to use Service Bus Queues and Relay for communication between apps and services.
Windows Azure Drive
The document discusses Windows Azure Drive, which allows mounting cloud storage as a virtual disk. It provides examples of uploading files to Azure blob storage using page blobs. There are different modes for accessing the drive, including lease mode and snapshot mode. The workflow involves mounting the drive, handling exceptions by remounting from a snapshot, and unmounting. The document compares storage emulators to Azure storage services and provides a reference to learn more about Windows Azure Drive.
SQL Azure
This document discusses SQL Azure, Microsoft's relational database service. It describes the logical and physical structure, including that databases are organized at the subscription and server level, and SQL Azure uses sharding across SQL Server instances. Key points are that each database is limited to 150GB in size, there is a built-in firewall, and data is committed using a quorum-based scheme across replicas. Migration options like SSIS and the Generate Script Wizard are also outlined.
Storage Services
This document provides an overview of Microsoft Azure storage services, including tables, queues, and blobs. It describes the common features like access via REST API and automatic replication. Tables store structured non-relational data with mandatory fields like partition and row keys. Queues provide asynchronous message processing between roles. Blobs support block and page objects at different maximum sizes, stored within containers. Code examples demonstrate retrieving references and contexts for tables, queues, and blobs.
Windows azure start
This document provides an overview of application deployment and services on the Windows Azure platform. It discusses deploying applications as virtual machines, web sites, or cloud services running Java, PHP, Linux, or ASP.NET. Tools include the Azure SDK and subscriptions for SQL databases, storage, queues and blobs. The project structure involves web and worker roles. The deployment workflow includes building, packaging, uploading and loading roles to the staging or production environments. References for introductions and step-by-step guides on Azure are also provided.
Windows Azure PowerShell Cmdlets
This document discusses PowerShell cmdlets for managing cloud resources on Microsoft Azure. It provides an overview of development tools and SDKs for Azure, describes how to use REST APIs and SDKs to manage resources from various devices and platforms. It also outlines several command line tools including PowerShell for Windows, Bash for Linux and Mac, and how they can be used to manage subscriptions, storage accounts, virtual machines, databases and other Azure resources through cmdlets. Syntax examples and references are provided for getting started with the PowerShell cmdlets.
Windows Azure Drive
The document discusses Windows Azure Drive, which allows mounting cloud storage as a disk volume. It describes uploading files to Azure blob storage by writing them in pages. It also covers how to work with Azure Drive, including mounting, unmounting, and retrying operations using snapshots if an exception occurs. The drive can be mounted in read-only or read-write modes, and files can be accessed directly as if they were on a local disk.
More from Pavel Revenkov (16)
Recently uploaded
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Recently uploaded (20)
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
SQL Azure Federations
- 1. SQL Azure Federations Pavlo Revenkov EPAM Cloud Computing Competency Center Email: pavlo_revenkov@epam.com Skype: rp_risingstar
- 2. Scaling Horizontal partitioning is a database design principle whereby rows of a database table are held separately. Each partition forms part of a shard, which may in turn be located on a separate database server or physical location. © Wikipedia Vertical Horizontal DB server DB server DB server time Member #1 Member #2 … time Root 2
- 3. Does not contain the data anymore. It is distributed across shards.Root Horizontal scaling 3
- 4. Infrastructure 4 Federation root Federation member … - contains federation metadata; - global database data; - route connections. - provides physical data separation; - can have its own schema; Atomic unit Federation member - the collection of all rows in a federation member that match a specific federation key value.
- 5. Limitations 5 • The federation distribution key must be an INT, BIGINT, UNIQUEIDENTIFIER, or VARBINARY and specifies a range value. • Federation columns cannot be NULL-able. • Federated members do not support the IDENTITY property. • Reference tables cannot have foreign key relationships with federated tables. Federated tables can have foreign key relationships with reference tables without restrictions. • Each federation member cannot be larger than 150 GB. • Cross database joins are not supported. An application must implement the logic for joining data from multiple federation members or multiple federations.
- 6. Demo 6
- 7. References Federations in Windows Azure SQL Database: http://msdn.microsoft.com/en-us/library/windowsazure/hh597452.aspx SQL Database Federations Tutorial: http://msdn.microsoft.com/en-us/library/windowsazure/hh778416.aspx Federation Guidelines and Limitations: http://msdn.microsoft.com/en-us/library/windowsazure/hh597469.aspx 7
- 8. Questions? 8