Azure Storage is a cloud storage solution that provides four main services - Blob storage, Table storage, Queue storage, and File storage. It allows storing and processing large amounts of unstructured and structured data. Data is stored durably with different replication options for high availability. The storage services can be accessed from various applications and platforms using SDKs and tools.
This document provides an overview of Windows Azure Storage, which includes scalable cloud storage services for blobs, tables, and queues. It describes the key concepts and abstractions for each service, including storage accounts, containers/tables/queues, and blobs/entities/messages. Common uses cases are also outlined, such as storing files, serving images, caching, and asynchronous processing.
The document discusses Microsoft Azure storage solutions and services, highlighting key capabilities like Azure Files for file shares, Premium Storage for high performance workloads, and integration with hybrid solutions like StorSimple. It also provides an overview of Azure Storage APIs and compares Azure storage features to competitive offerings from AWS. The document is aimed at helping customers understand how Azure storage can meet their needs for scalability, reliability, security and hybrid cloud capabilities.
Data is as critical as ever. Storage costs are lower but we have more and more data to store. This is where Microsoft Azure Data Storage solutions come in. This slide deck provides an overview of the most important data storage options available in Azure.
Note: I did not create this deck. I instead combined slides from the Microsoft Azure-Readiness/DevCamp repo on GitHub (https://github.com/Azure-Readiness/DevCamp) while adding additional material from a slide deck of David Chappell's.
This talk was given at Cloud Camp Kitchener 2015.
Azure SQL Database (SQL DB) is a database-as-a-service (DBaaS) that provides nearly full T-SQL compatibility so you can gain tons of benefits for new databases or by moving your existing databases to the cloud. Those benefits include provisioning in minutes, built-in high availability and disaster recovery, predictable performance levels, instant scaling, and reduced overhead. And gone will be the days of getting a call at 3am because of a hardware failure. If you want to make your life easier, this is the presentation for you.
Azure SQL Database Managed Instance is a new flavor of Azure SQL Database that is a game changer. It offers near-complete SQL Server compatibility and network isolation to easily lift and shift databases to Azure (you can literally backup an on-premise database and restore it into a Azure SQL Database Managed Instance). Think of it as an enhancement to Azure SQL Database that is built on the same PaaS infrastructure and maintains all it's features (i.e. active geo-replication, high availability, automatic backups, database advisor, threat detection, intelligent insights, vulnerability assessment, etc) but adds support for databases up to 35TB, VNET, SQL Agent, cross-database querying, replication, etc. So, you can migrate your databases from on-prem to Azure with very little migration effort which is a big improvement from the current Singleton or Elastic Pool flavors which can require substantial changes.
Azure Storage is a cloud storage solution that provides four main services - Blob storage, Table storage, Queue storage, and File storage. It allows storing and processing large amounts of unstructured and structured data. Data is stored durably with different replication options for high availability. The storage services can be accessed from various applications and platforms using SDKs and tools.
This document provides an overview of Windows Azure Storage, which includes scalable cloud storage services for blobs, tables, and queues. It describes the key concepts and abstractions for each service, including storage accounts, containers/tables/queues, and blobs/entities/messages. Common uses cases are also outlined, such as storing files, serving images, caching, and asynchronous processing.
The document discusses Microsoft Azure storage solutions and services, highlighting key capabilities like Azure Files for file shares, Premium Storage for high performance workloads, and integration with hybrid solutions like StorSimple. It also provides an overview of Azure Storage APIs and compares Azure storage features to competitive offerings from AWS. The document is aimed at helping customers understand how Azure storage can meet their needs for scalability, reliability, security and hybrid cloud capabilities.
Data is as critical as ever. Storage costs are lower but we have more and more data to store. This is where Microsoft Azure Data Storage solutions come in. This slide deck provides an overview of the most important data storage options available in Azure.
Note: I did not create this deck. I instead combined slides from the Microsoft Azure-Readiness/DevCamp repo on GitHub (https://github.com/Azure-Readiness/DevCamp) while adding additional material from a slide deck of David Chappell's.
This talk was given at Cloud Camp Kitchener 2015.
Azure SQL Database (SQL DB) is a database-as-a-service (DBaaS) that provides nearly full T-SQL compatibility so you can gain tons of benefits for new databases or by moving your existing databases to the cloud. Those benefits include provisioning in minutes, built-in high availability and disaster recovery, predictable performance levels, instant scaling, and reduced overhead. And gone will be the days of getting a call at 3am because of a hardware failure. If you want to make your life easier, this is the presentation for you.
Azure SQL Database Managed Instance is a new flavor of Azure SQL Database that is a game changer. It offers near-complete SQL Server compatibility and network isolation to easily lift and shift databases to Azure (you can literally backup an on-premise database and restore it into a Azure SQL Database Managed Instance). Think of it as an enhancement to Azure SQL Database that is built on the same PaaS infrastructure and maintains all it's features (i.e. active geo-replication, high availability, automatic backups, database advisor, threat detection, intelligent insights, vulnerability assessment, etc) but adds support for databases up to 35TB, VNET, SQL Agent, cross-database querying, replication, etc. So, you can migrate your databases from on-prem to Azure with very little migration effort which is a big improvement from the current Singleton or Elastic Pool flavors which can require substantial changes.
This document provides an overview of Azure SQL DB environments. It discusses the different types of cloud platforms including IaaS, PaaS and DBaaS. It summarizes the key features and benefits of Azure SQL DB including automatic backups, geo-replication for disaster recovery, and elastic pools for reducing costs. The document also covers pricing models, performance monitoring, automatic tuning capabilities, and security features of Azure SQL DB.
Azure Cosmos DB is Microsoft's globally distributed, multi-model database service that supports multiple APIs such as SQL, Cassandra, MongoDB, Gremlin and Azure Table. It allows storing entities with automatic partitioning and provides automatic online backups every 4 hours with the latest 2 backups stored. The Azure Cosmos DB change feed and Data Migration Tool allow importing and exporting data for backups. An emulator is also available for trying Cosmos DB locally without an Azure account.
This document provides information about becoming an Azure administrator, including an overview of cloud computing and Microsoft Azure certifications. It discusses what cloud computing is, the benefits of cloud computing, Azure regions and datacenters, types of cloud services like SaaS, PaaS and IaaS, and how to upload data to the cloud using Azure Data Box. The document aims to help readers understand cloud concepts and get recognized with new role-based Azure certifications.
The document provides an overview of Windows Azure cloud storage. It discusses cloud computing fundamentals and models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It introduces Windows Azure storage services including blobs, tables, queues, and files. It describes features like data replication, storage objects, and durability options. It also provides instructions for using the Azure management portal and C++ SDK to interact with Azure storage.
This document provides an introduction and overview of Azure Data Lake. It describes Azure Data Lake as a single store of all data ranging from raw to processed that can be used for reporting, analytics and machine learning. It discusses key Azure Data Lake components like Data Lake Store, Data Lake Analytics, HDInsight and the U-SQL language. It compares Data Lakes to data warehouses and explains how Azure Data Lake Store, Analytics and U-SQL process and transform data at scale.
This document provides an overview of Microsoft Azure including what Azure is, the platform services it offers, licensing and purchasing options, estimating costs, and resources for getting started with Azure. Azure is an on-demand cloud computing platform that provides infrastructure and platform services. It offers computing, networking, databases, analytics, mobile, IoT and enterprise application services. Customers can purchase Azure services through pay-as-you-go, commitment plans, or open licensing programs. The document recommends starting points for learning Azure and provides additional resources.
Advanced Load Balancer/Traffic Manager and App Gateway for Microsoft AzureKemp
While Azure provides native load balancing capabilities, our KEMP Virtual LoadMaster (VLM) significantly improves on these via advance features like application delivery and load balancing in Layer 7 of the network stack. Other features that KEMP VLM delivers for Azure based and hybrid infrastructure deployments are:
- Client authentication and single sign-on (SSO) High Performance Layer 4 & Layer 7 Application Load Balancing
- Intelligent Global Site Traffic Distribution
- Application Health Checking
- IP and Layer 7 Persistence
- Content Switching
- SSL Acceleration and Offload
- Compression
- Caching
- Advanced App Gateway Services
- Provide better Load Balancing over the Internal Load Balancer
- Sophisticated Traffic Manager
https://kemptechnologies.com/solutions/microsoft-load-balancing/loadmaster-azure/
https://azure.microsoft.com/en-us/marketplace/partners/kemptech/vlm-azure/
This document provides an overview of Microsoft Azure fundamentals, including the different cloud hosting models, the various Azure components across infrastructure, platforms, and software as a service. It describes Azure services for compute, web and mobile, data and storage, networking, hybrid integration, analytics, media, Internet of things, developers, and management. The presenter's contact information is provided for any questions.
SQL Server High Availability and Disaster RecoveryMichael Poremba
High availability and disaster recovery strategies for Microsoft SQL Server databases are discussed. Key points include:
1) High availability aims to minimize downtime through redundant components and automatic failover, while disaster recovery protects against total data center outage through redundant systems and facilities.
2) Various SQL Server high availability options are examined, including database mirroring, log shipping, and failover clustering, each with different capabilities like automatic failover speed and hardware requirements.
3) Disaster recovery focuses on having a redundant system in a separate location that can be switched over to if the primary system fails. It requires strategies for backup, offsite storage, and recovery of data at the redundant location.
This document discusses designing a modern data warehouse in Azure. It provides an overview of traditional vs. self-service data warehouses and their limitations. It also outlines challenges with current data warehouses around timeliness, flexibility, quality and findability. The document then discusses why organizations need a modern data warehouse based on criteria like customer experience, quality assurance and operational efficiency. It covers various approaches to ingesting, storing, preparing, modeling and serving data on Azure. Finally, it discusses architectures like the lambda architecture and common data models.
This presentation discusses Windows Azure Blob Storage, covering from the Windows Azure Storage Overview, Blob Storage Basic Concept, Blob Storage Advanced, and finally the Tip of the day.
Azure Storage is Microsoft's cloud storage solution that provides scalable and reliable storage for modern applications. It contains four main services - Blob storage for unstructured object data, Table storage for structured datasets, Queue storage for reliable messaging, and File storage for shared storage. Data stored in Azure Storage can be replicated across multiple locations for durability and high availability depending on the replication option selected - locally redundant, zone redundant, geo-redundant or read-access geo-redundant storage.
This document discusses two options for hosting SQL databases on Microsoft Azure: Azure SQL Database and SQL Server virtual machines. It provides demos of creating and connecting to databases with each option, covering aspects like security, auditing, performance, and pricing. Links are included for more information on tier performance and pricing for Azure SQL Database, as well as hosting SQL on Amazon AWS.
Amazon Redshift is a fast, powerful, fully managed data warehouse service that allows for petabyte-scale data warehousing at very low costs. It uses columnar storage and data compression techniques to dramatically reduce I/O and allow for very fast query performance. Redshift automatically provisions clusters on optimized hardware and scales easily from terabytes to petabytes of data with no downtime. It integrates with popular BI tools and simplifies tasks like provisioning, administration, backup/restore and scaling the data warehouse.
This slide deck provides the basics of Azure App Service. This presentation was presented by Harikharan Krishnaraju, Developer Support Escalation Engineer, Microsoft during the TechMeet360 event organized by BizTalk360, held on December 17, 2016 at Coimbatore.
In this technical overview of Azure Cosmos DB you will learn how easy it is to get started building planet-scale applications with Azure Cosmos DB. We’ll then take a closer look at important design aspects around global distribution, consistency, and server-side partitioning. How to model your data to fit your app’s needs using tools and APIs you love.
This document provides a summary of Amazon RDS and Amazon Aurora. It discusses what Amazon RDS is, the benefits of using RDS over managing databases yourself, and how to configure, scale, secure, monitor, and back up databases using RDS. It also provides an overview of Amazon Aurora, describing its high-performance distributed architecture and how it achieves significantly better performance than MySQL.
Introduction to Amazon Relational Database Service (Amazon RDS)Amazon Web Services
This document provides an introduction and overview of Amazon Relational Database Service (Amazon RDS). It discusses how RDS provides automated provisioning and scaling of database instances, high availability through multi-AZ deployments, security features including encryption and IAM access control, monitoring with CloudWatch, and migration services. It also introduces Amazon Aurora, a MySQL and PostgreSQL compatible database engine designed for the cloud that provides better performance than commercial databases.
Azure Data Factory | Moving On-Premise Data to Azure Cloud | Microsoft Azure ...Edureka!
** Microsoft Azure Certification Training : https://www.edureka.co/microsoft-azure-training **
This Edureka "Azure Data Factory” tutorial will give you a thorough and insightful overview of Microsoft Azure Data Factory and help you understand other related terms like Data Lakes and Data Warehousing.
Following are the offering of this tutorial:
1. Why Azure Data Factory?
2. What Is Azure Data Factory?
3. Data Factory Concepts
4. What is Azure Data Lake?
5. Data Lake Concepts
6. Data Lake Vs Data Warehouse
7. Demo- Moving On-Premise Data To Cloud
Check out our Playlists: https://goo.gl/A1CJjM
A really quick introduction to Microsoft Azure Storage and all of its services. It's one of the core components of Azure and it's really important to understand it if you want to "move to the cloud".
Mihail Mateev gave a presentation introducing the Azure File service. The Azure File service allows the use of Azure storage as file shares that can be accessed via SMB from virtual machines using standard file I/O APIs. It provides a way to share persistent data between servers or applications without needing local file servers. The presentation covered how to create and manage file shares using PowerShell and .NET, and when each Azure storage option - Files, Blobs, and Data Disks - would be appropriate.
This document provides an overview of Azure SQL DB environments. It discusses the different types of cloud platforms including IaaS, PaaS and DBaaS. It summarizes the key features and benefits of Azure SQL DB including automatic backups, geo-replication for disaster recovery, and elastic pools for reducing costs. The document also covers pricing models, performance monitoring, automatic tuning capabilities, and security features of Azure SQL DB.
Azure Cosmos DB is Microsoft's globally distributed, multi-model database service that supports multiple APIs such as SQL, Cassandra, MongoDB, Gremlin and Azure Table. It allows storing entities with automatic partitioning and provides automatic online backups every 4 hours with the latest 2 backups stored. The Azure Cosmos DB change feed and Data Migration Tool allow importing and exporting data for backups. An emulator is also available for trying Cosmos DB locally without an Azure account.
This document provides information about becoming an Azure administrator, including an overview of cloud computing and Microsoft Azure certifications. It discusses what cloud computing is, the benefits of cloud computing, Azure regions and datacenters, types of cloud services like SaaS, PaaS and IaaS, and how to upload data to the cloud using Azure Data Box. The document aims to help readers understand cloud concepts and get recognized with new role-based Azure certifications.
The document provides an overview of Windows Azure cloud storage. It discusses cloud computing fundamentals and models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It introduces Windows Azure storage services including blobs, tables, queues, and files. It describes features like data replication, storage objects, and durability options. It also provides instructions for using the Azure management portal and C++ SDK to interact with Azure storage.
This document provides an introduction and overview of Azure Data Lake. It describes Azure Data Lake as a single store of all data ranging from raw to processed that can be used for reporting, analytics and machine learning. It discusses key Azure Data Lake components like Data Lake Store, Data Lake Analytics, HDInsight and the U-SQL language. It compares Data Lakes to data warehouses and explains how Azure Data Lake Store, Analytics and U-SQL process and transform data at scale.
This document provides an overview of Microsoft Azure including what Azure is, the platform services it offers, licensing and purchasing options, estimating costs, and resources for getting started with Azure. Azure is an on-demand cloud computing platform that provides infrastructure and platform services. It offers computing, networking, databases, analytics, mobile, IoT and enterprise application services. Customers can purchase Azure services through pay-as-you-go, commitment plans, or open licensing programs. The document recommends starting points for learning Azure and provides additional resources.
Advanced Load Balancer/Traffic Manager and App Gateway for Microsoft AzureKemp
While Azure provides native load balancing capabilities, our KEMP Virtual LoadMaster (VLM) significantly improves on these via advance features like application delivery and load balancing in Layer 7 of the network stack. Other features that KEMP VLM delivers for Azure based and hybrid infrastructure deployments are:
- Client authentication and single sign-on (SSO) High Performance Layer 4 & Layer 7 Application Load Balancing
- Intelligent Global Site Traffic Distribution
- Application Health Checking
- IP and Layer 7 Persistence
- Content Switching
- SSL Acceleration and Offload
- Compression
- Caching
- Advanced App Gateway Services
- Provide better Load Balancing over the Internal Load Balancer
- Sophisticated Traffic Manager
https://kemptechnologies.com/solutions/microsoft-load-balancing/loadmaster-azure/
https://azure.microsoft.com/en-us/marketplace/partners/kemptech/vlm-azure/
This document provides an overview of Microsoft Azure fundamentals, including the different cloud hosting models, the various Azure components across infrastructure, platforms, and software as a service. It describes Azure services for compute, web and mobile, data and storage, networking, hybrid integration, analytics, media, Internet of things, developers, and management. The presenter's contact information is provided for any questions.
SQL Server High Availability and Disaster RecoveryMichael Poremba
High availability and disaster recovery strategies for Microsoft SQL Server databases are discussed. Key points include:
1) High availability aims to minimize downtime through redundant components and automatic failover, while disaster recovery protects against total data center outage through redundant systems and facilities.
2) Various SQL Server high availability options are examined, including database mirroring, log shipping, and failover clustering, each with different capabilities like automatic failover speed and hardware requirements.
3) Disaster recovery focuses on having a redundant system in a separate location that can be switched over to if the primary system fails. It requires strategies for backup, offsite storage, and recovery of data at the redundant location.
This document discusses designing a modern data warehouse in Azure. It provides an overview of traditional vs. self-service data warehouses and their limitations. It also outlines challenges with current data warehouses around timeliness, flexibility, quality and findability. The document then discusses why organizations need a modern data warehouse based on criteria like customer experience, quality assurance and operational efficiency. It covers various approaches to ingesting, storing, preparing, modeling and serving data on Azure. Finally, it discusses architectures like the lambda architecture and common data models.
This presentation discusses Windows Azure Blob Storage, covering from the Windows Azure Storage Overview, Blob Storage Basic Concept, Blob Storage Advanced, and finally the Tip of the day.
Azure Storage is Microsoft's cloud storage solution that provides scalable and reliable storage for modern applications. It contains four main services - Blob storage for unstructured object data, Table storage for structured datasets, Queue storage for reliable messaging, and File storage for shared storage. Data stored in Azure Storage can be replicated across multiple locations for durability and high availability depending on the replication option selected - locally redundant, zone redundant, geo-redundant or read-access geo-redundant storage.
This document discusses two options for hosting SQL databases on Microsoft Azure: Azure SQL Database and SQL Server virtual machines. It provides demos of creating and connecting to databases with each option, covering aspects like security, auditing, performance, and pricing. Links are included for more information on tier performance and pricing for Azure SQL Database, as well as hosting SQL on Amazon AWS.
Amazon Redshift is a fast, powerful, fully managed data warehouse service that allows for petabyte-scale data warehousing at very low costs. It uses columnar storage and data compression techniques to dramatically reduce I/O and allow for very fast query performance. Redshift automatically provisions clusters on optimized hardware and scales easily from terabytes to petabytes of data with no downtime. It integrates with popular BI tools and simplifies tasks like provisioning, administration, backup/restore and scaling the data warehouse.
This slide deck provides the basics of Azure App Service. This presentation was presented by Harikharan Krishnaraju, Developer Support Escalation Engineer, Microsoft during the TechMeet360 event organized by BizTalk360, held on December 17, 2016 at Coimbatore.
In this technical overview of Azure Cosmos DB you will learn how easy it is to get started building planet-scale applications with Azure Cosmos DB. We’ll then take a closer look at important design aspects around global distribution, consistency, and server-side partitioning. How to model your data to fit your app’s needs using tools and APIs you love.
This document provides a summary of Amazon RDS and Amazon Aurora. It discusses what Amazon RDS is, the benefits of using RDS over managing databases yourself, and how to configure, scale, secure, monitor, and back up databases using RDS. It also provides an overview of Amazon Aurora, describing its high-performance distributed architecture and how it achieves significantly better performance than MySQL.
Introduction to Amazon Relational Database Service (Amazon RDS)Amazon Web Services
This document provides an introduction and overview of Amazon Relational Database Service (Amazon RDS). It discusses how RDS provides automated provisioning and scaling of database instances, high availability through multi-AZ deployments, security features including encryption and IAM access control, monitoring with CloudWatch, and migration services. It also introduces Amazon Aurora, a MySQL and PostgreSQL compatible database engine designed for the cloud that provides better performance than commercial databases.
Azure Data Factory | Moving On-Premise Data to Azure Cloud | Microsoft Azure ...Edureka!
** Microsoft Azure Certification Training : https://www.edureka.co/microsoft-azure-training **
This Edureka "Azure Data Factory” tutorial will give you a thorough and insightful overview of Microsoft Azure Data Factory and help you understand other related terms like Data Lakes and Data Warehousing.
Following are the offering of this tutorial:
1. Why Azure Data Factory?
2. What Is Azure Data Factory?
3. Data Factory Concepts
4. What is Azure Data Lake?
5. Data Lake Concepts
6. Data Lake Vs Data Warehouse
7. Demo- Moving On-Premise Data To Cloud
Check out our Playlists: https://goo.gl/A1CJjM
A really quick introduction to Microsoft Azure Storage and all of its services. It's one of the core components of Azure and it's really important to understand it if you want to "move to the cloud".
Mihail Mateev gave a presentation introducing the Azure File service. The Azure File service allows the use of Azure storage as file shares that can be accessed via SMB from virtual machines using standard file I/O APIs. It provides a way to share persistent data between servers or applications without needing local file servers. The presentation covered how to create and manage file shares using PowerShell and .NET, and when each Azure storage option - Files, Blobs, and Data Disks - would be appropriate.
This document provides an overview of Microsoft Azure data services including Azure Storage, Cache, Marketplace, and tools. It describes the key components and features of Azure Storage including storage accounts, blobs, tables, queues, and SQL databases. It also summarizes Azure Cache options, the Azure Marketplace, and command-line tools for managing Azure resources.
Building Real World Application with Azuredivyapisces
This document discusses building real world applications with Microsoft Azure. It covers cloud development patterns like automating everything, using source control, continuous integration and delivery, and web development best practices. It demonstrates the Azure management portal and shows how to use source control in Visual Studio. The document also discusses data storage options in Azure like SQL Database, blob storage, and data partitioning strategies. It provides an overview of key concepts like PaaS versus IaaS, choosing relational databases, and understanding the three Vs of data storage. Finally, it demonstrates walking through an Azure app and discusses SLAs and scaling applications in the cloud.
Azure templates can be used to deploy and manage Azure resources in a declarative and repeatable way. They define the resources to deploy, including virtual machines, databases, and networking components, as well as the relationships between resources. Azure templates allow for idempotent deployments, simplified orchestration of rollbacks and upgrades, and cross-resource configuration and updates. They are stored as JSON or ARM template files in source control and can be deployed via the Azure CLI, PowerShell, or REST APIs. A wide range of community-created quickstart templates are available on GitHub for common workload deployments.
In this session we will see what are the scalabilities points of a cloud application. In the first part of the session we will look over the services offered by Windows Azure.
Katpro Technology, a IT solutions company, announced it has been selected by Microsoft Co-corporations as a windows Azure Circle Partner.The Partnership will provide katpro with the ability to service customers needs in the area of cloud, training and support material provided by Microsoft.
Mobile services on windows azure (part1)Radu Vunvulea
- Windows Azure provides a variety of cloud services including Table Storage, Blob Storage, SQL Database, Queues, Service Bus, Caching, Access Control, and Media Services.
- These services allow storing and accessing data, running background tasks, hosting web applications, streaming media, and authenticating users from various identity providers.
- Specific services like Table Storage, Queues, and Caching can be used to store and access data, while Web/Worker Roles, Websites, and Virtual Machines enable hosting applications and running processes in the cloud.
Slides from CIAOPS MAy 2018 webinar that provided Azure news update, open Q & A as well as a focus session on Azure storage. Video recording is available at www.ciaopsacademy.com
Accesso ai dati con Azure Data PlatformLuca Di Fino
The document discusses various data storage options available on the Microsoft Azure platform. It provides information on relational databases like Azure SQL, non-relational databases like Azure Table Storage and DocumentDB, file storage with Azure Blobs, queue-based messaging with Azure Queues, and data analytics services like HDInsight. Live demos are shown of common tasks like inserting, querying and retrieving data from Table Storage, Blob Storage, and Queues. Key differences between relational and non-relational storage are also explained.
Azure provides multiple storage solutions including Blob Storage for unstructured data like files, Disk Storage for virtual machine disks, and File Storage for shared file access. It also offers database options like SQL Database which handles maintenance, and Hyperscale for large distributed datasets. Data can be stored in different access tiers from hot to archive. Cosmos DB provides a flexible model with multiple APIs and formats the data internally while presenting a single interface.
This document provides an overview of the Microsoft Windows Azure platform, including its data center infrastructure, categories of services, and key projects. Some of the main points covered include:
- Windows Azure uses globally distributed data centers housed in shipping containers to maximize server density and efficiency.
- It provides various compute, storage, data, connectivity, security, and application services through a generalized cloud application model.
- Key projects expand on services for identity/access management, caching, service hosting, information delivery, and more.
This document provides an overview of Microsoft's Windows Azure cloud computing platform. It discusses the state of cloud computing including perceptions, types of clouds, and drivers. It then covers Microsoft's involvement in the cloud over the past 15 years with various services like Bing, Exchange Online, and MSN. The core sections describe the key components of Windows Azure including compute, storage, SQL Azure database, service bus, access control, and various application frameworks. It positions Windows Azure as a platform for building applications that can leverage on-premise and cloud services and provides three key takeaways about it being a platform-as-a-service, enabling hybrid solutions, and consistent programming models.
Azure data store with storage and cosmo dbBipeen Sinha
This document discusses Azure storage options including managed disks, unmanaged disks, storage accounts, and blob storage. It provides details on:
- Azure managed disks which store .VHD files in page blobs and offer better performance and scalability than unmanaged disks by abstracting away storage accounts.
- Unmanaged disks which also store .VHD files in page blobs but are managed by the customer and allow proper sizing of storage accounts.
- Storage accounts which provide namespaces and endpoints for accessing Azure storage services like blobs, tables, queues, and disks. General-purpose v2 accounts support the latest features.
- Blob storage which provides a simple interface for storing and retrieving large unstructured data files and
This document provides an agenda and overview of a Windows Azure camp discussing different components of the Windows Azure platform. The agenda includes introductions to cloud computing, Windows Azure, Azure storage services, SQL Azure, developing applications on Azure, and Windows Azure AppFabric. Key components discussed are Azure storage including blobs, tables, queues, SQL Azure, web and worker roles, and how AppFabric provides access control and integration via a service bus. Demos are included on hosting applications on Azure and using various Azure services.
Amazon Web Services (AWS) can make hosting scalable, highly-available websites and web applications easier and less expensive for the Enterprise Education customers. Join us for an informative webinar on tools AWS provides to elastically scale your architecture to avoid underutilized resources while reducing complexity with templates, partners, and tools to do much of the heavy lifting of creating and running a website for you.
Azure data store with storage and cosmo dbBipeen Sinha
This document discusses Azure storage options including managed disks, unmanaged disks, storage accounts, blobs, tables, queues, and page blobs. It provides details on managed vs unmanaged disks, different storage account types, performance tiers and replication options, and how various Microsoft services use Azure storage. Key points covered include that managed disks simplify storage management, storage accounts provide namespaces for objects, and blobs can store large unstructured data files for applications.
This document provides an overview of Azure core services, including compute, storage, and networking options. It discusses Azure management tools like the portal, PowerShell, and CLI. For compute, it covers virtual machines, containers, App Service, and serverless options. For storage, it discusses SQL Database, Cosmos DB, blob, file, queue, and data lake storage. It also discusses networking concepts like load balancing and traffic management. The document ends with potential exam questions related to Azure services.
This document discusses Java development on the Azure cloud platform. It provides an overview of Azure's global infrastructure and scale. It also summarizes key Azure services like storage, networking, and identity management that developers can use to build Java applications in the cloud. The document concludes by listing Java-specific resources and documentation for developing on Azure.
Similar to Ahmedabad- Global Azure bootcamp- Azure Storage Services- Global Azure Bootcamp 2015 (20)
Ivy is Angular's next generation compiler and renderer that aims to make applications smaller, faster to load, and use less memory. Some key goals of Ivy include faster initial loading, reduced bundle sizes, lower memory footprint, improved memory allocation, and faster compilation times. Ivy generates template instructions directly from templates rather than generating intermediate metadata, making the compilation process more efficient. It also uses incremental DOM for rendering, which creates and updates DOM trees using in-place instructions rather than full virtual DOM comparisons on each change. Tree shaking also works more effectively with Ivy due to its generation of smaller, more atomic functions from templates.
Building Real time Application with Azure SignalR ServiceJalpesh Vadgama
The document discusses building real-time applications with Azure SignalR Service. It begins with an introduction of the speaker and an overview of real-time applications. It then covers the evolution of the web and how technologies like web sockets enabled real-time functionality. The document discusses SignalR and how it supports real-time communication between server and clients. It also outlines key features of Azure SignalR Service, including how it provides scalability for SignalR applications. Finally, the document concludes with a demo and Q&A section.
Jalpesh Vadgama is a co-founder of FutureStack Solution and Microsoft MVP who has over 14 years of experience in web development, cloud solutions, and enterprise applications. He frequently writes about .NET technologies and Azure Active Directory on his blog. Azure Active Directory is a cloud-based identity and access management service that provides directory services, identity governance, application access management, and tools for developers. It can sync with on-premises directories, manage user access from any location, and provide single sign-on for thousands of cloud applications.
Introduction to BOT Framework- Global Azure Bootcamp 2017Jalpesh Vadgama
The document provides an introduction to bot frameworks. It defines what bots are and discusses how bot frameworks allow developers to build and connect intelligent bots. It explains that bot frameworks include components like the Bot Connector to connect bots to channels, the Bot Builder SDKs to develop conversation logic, and LUIS for natural language understanding. The document also demonstrates using LUIS and the Bot Framework to build a simple weather bot.
Introduction to document db- Global Azure Bootcamp 2016Jalpesh Vadgama
This document introduces DocumentDB, a NoSQL document database offered by Microsoft Azure. It discusses what a document database is, defines DocumentDB as a schema-free JSON document database, and outlines some key capabilities and benefits such as scalability, querying, indexing and security. Examples are provided of how data is stored and how collections function as containers. The presentation concludes with a demo of sample code for using DocumentDB.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
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
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
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.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
“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.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
2. About me
• More then 10+ years of experience in Microsoft.NET and related
technologies
• Currently working as Project Manager at TatvaSoft
• Have been Awarded as Microsoft Most Valuable Professional
(Visual C#) for year 2010,2011 and 2012.
• Frequently writing blogs about Microsoft.NET and related
technologies at my blog http://www.dotnetjalps.com
• Also awarded as Dzone Most Valuable Blogger.
• Active Member of Ahmedabad .NET User Group.
3. Windows Azure Storage
• Cloud Storage, Any time any where access
• Durable and Highly available
• Pay for what you use
• Massively Scalable – Easily build internet scale enterprise level application
- 35 trillion plus + Storage options
- 3.5 million request + Request/sec on average
• Azure Storage uses an auto-partitioning system that automatically load-
balances your data based on traffic
• Exposed via Rest APIs or Also Client Libraries are available in languages like
.NET, Java and Node.js.
• Azure storage is accessible from any platform like desktop, Web or devices
4. Azure Storage Account
• An Azure storage account is a secure storage account that
gives access to services in Azure Storage
• Two types of accounts
- Standard
- Premium
• Standard Storage account Include all the Azure Storage
Abstractions (Blob, Table, Queue and File Storage)
• Premium Storage account supports Azure Virtual Machine
disks(SSDs) only right now
18. • Azure Queue storage is a service for storing large
numbers of messages that can be accessed from
anywhere in the world via authenticated calls using HTTP
or HTTPS.
• A single queue message can be up to 64 KB in size,
and a queue can contain millions of messages, up to
the total capacity limit of a storage account.
• A storage account can contain up to 500 TB of blob,
queue, and table data.
Queue details
19. • Common Usage of Queue Storage Includes
• Creating a backlog of work to process asynchronously
• Passing messages from an Azure Web role to an Azure Worker role
• Queues are accessible from following URL format
• http://<storage account>.queue.core.windows.net/<queue>
• A Queue contains messages and a message can be
maximum of 64 Kb of size
Queue details
23. • Microsoft Azure virtual machines and cloud services can share file
data across application components via mounted shares, and on-
premises applications can access file data in a share via the File
storage API.
• File storage offers shared storage for applications using the
standard SMB 2.1 protocol.
• Applications running in Azure virtual machines or cloud services
can mount a File storage share to access file data, just as a desktop
application would mount a typical SMB share. Any number of Azure
virtual machines or roles can mount and access the File storage
share simultaneously.
Azure Files
24. • Since a File storage share is a standard SMB 2.1 file share,
applications running in Azure can access data in the share via file I/O
APIs. Developers can therefore leverage their existing code and skills
to migrate existing applications.
• Common uses of File storage include
- Storing shared application settings, for example in configuration files
- Storing diagnostic data such as logs, metrics, and crash dumps in a shared location
- Files that is accessible via multiple locations
• Files are addressable using the following URL format
- https://<storage account>.file.core.windows.net/<share>/<directory/directories>/<file>
Azure Files
32. Two Types of Blobs Under the Hood
•Each block can include MD5 hash to verify the Transfer,
so you can track upload progress and resend blob storage
if required
Block Blob:
Slide Objectives
Understand Tables and Entities
Speaker Notes
Tables store data as entities.
An entity is a collection of named properties and their values, similar to a row- not an RDBMS though
Tables are partitioned to support load balancing across storage nodes.
Each table has as its first property a partition key that specifies the partition an entity belongs to.
The second property is a row key that identifies an entity within a given partition.
The combination of the partition key and the row key forms a primary key that identifies each entity uniquely within the table.
The Table service does not enforce any schema.
A developer may choose to implement and enforce a schema on the client side
Notes
http://msdn.microsoft.com/en-us/library/dd573356.aspx
http://msdn.microsoft.com/en-us/library/dd179338.aspx
Slide Objectives
Understand Tables
Speaker Notes
The Table service provides structured storage in the form of tables.
The Table service supports a REST API that is compliant with the ADO.NET Data Services REST API.
Developers may also use the .NET Client Library for ADO.NET Data Services to access the Table service.
Notes
http://msdn.microsoft.com/en-us/library/dd573356.aspx
Slide Objective
Understand block blob
Speaker Notes
Block blobs are comprised of blocks, each of which is identified by a block ID.
You create or modify a block blob by uploading a set of blocks and committing them by their block IDs.
If you are uploading a block blob that is no more than 64 MB in size, you can also upload it in its entirety with a single Put Blob operation.
When you upload a block to Microsoft Azure using the Put Block operation, it is associated with the specified block blob, but it does not become part of the blob until you call the Put Block List operation and include the block's ID.
The block remains in an uncommitted state until it is specifically committed. Writing to a block blob is thus always a two-step process.
Each block can be a maximum of 4 MB in size. The maximum size for a block blob in version 2009-09-19 is 200 GB, or up to 50,000 blocks.
Notes
http://msdn.microsoft.com/en-us/library/dd135734.aspx