5 reasons Databricks runs best on Azure

For any organization running big data workloads in the cloud, exceptional scale, performance, and optimization are essential. Databricks customers have multiple choices for their cloud destination. Azure Databricks is the only first-party service offering for Databricks, which provides customers with distinct benefits not offered in any other cloud. The first-party integration and our unique strategic alliance saves customers time and effort and significantly accelerates time to value. As Forrester notes, “Competitive advantage is no longer about ‘first to market’, it’s [now about] ‘first to value’”1.

Azure Databricks enables customers to be first to value for these five reasons:

  1. Unique engineering partnership
  2. Mission-critical support and ease for commerce
  3. Azure ecosystem
  4. Native security, identity, and compliance
  5. Rapid onboarding

1. Unique engineering partnership

The Azure and Databricks engineering teams are constantly working together to deepen the integration of Databricks within Azure to enable rapid customer success. In fact, both engineering teams have spent hundreds of thousands of hours optimizing Databricks for Azure. This collaboration drives a highly performant level of cloud-scale operations that would not be possible without this unique engineering partnership. The engineering teams work together to enhance the performance and scalability, monitor environments and provide business-critical support. Since Azure Databricks is a first-party service, the Azure Databricks engineering team can optimize the offering across storage, networking, and compute. Azure customers not only benefit from this optimization, but they also get access to new innovations, like the exclusive preview of the new Photon engine, before they are available in any other cloud.

2. Mission-critical support and ease for commerce

Thanks to our unique partnership, Microsoft is able to provide Azure Databricks customers with enterprise-level support from one single place instead of a bifurcated model they would experience elsewhere. This is important for customers running mission-critical workloads with Databricks. With Azure Databricks, customers also benefit from a streamlined licensing process. Azure customers can start using Azure Databricks immediately, with no additional licenses to sign or procure. This is in addition to receiving a single bill, greatly simplifying the customer experience and providing them the level of support and predictability customers expect from their cloud providers.

3. Azure ecosystem

Azure Databricks is fully integrated with the vast portfolio of products and services in the Microsoft Azure ecosystem, accelerating customers’ time to value. The joint engineering effort ensures seamless integration of Azure Databricks with services such as Azure Data FactoryAzure Data Lake StorageAzure Synapse Analytics, and Power BI to deliver a consistently integrated experience for customers. The highly optimized Azure Synapse connector, for example, is the most popular service connector across all of Databricks. Over 1,500 customers, such as Marks & Spencer and Rockwell Automation, have used Azure Databricks and Azure Synapse together to modernize their analytics platform in the cloud and gain high-performance and scalability. The Power BI connector to Azure Databricks makes it easier and more performant to deliver great BI visualizations and reports through the same Power BI service. The combination of these services operating seamlessly together reinforces why Azure is the preferred destination for running mission-critical analytics workloads with Databricks.

4. Native security, identity, and compliance

Another benefit that Azure Databricks uniquely provides is enterprise-grade Azure security, including Azure Active Directory (Azure AD) integration, role-based access controls, and service-level agreements (SLAs) that protect your data and your business. Native integration with Azure AD enables a customer to run complete Azure-based solutions using Azure Databricks from the moment an Azure Databricks workspace is deployed. This is a zero-touch experience for the customer compared to stitching together a separate, stand-alone authentication solution after deploying a workspace. With Azure AD authentication, you can connect securely to other services from Azure Databricks using your Azure AD account. The identity and access management is propagated throughout all other Azure services in the solution and flows between them in one seamless experience, which means less work and less time to get a solution up and running.

From a compliance perspective, Azure Databricks is the only Databricks environment with the FedRAMP High Authorization along with 12 other security certifications. This authorization provides customers assurance that Azure Databricks is designed to meet U.S. Government security and compliance requirements to support their sensitive analytics and data science workloads. Azure Databricks also achieved the HITRUST Common Security Framework (CSF) certification, which enables customers to use Azure Databricks with confidence for data analytics and data science in regulated industries such as healthcare, life sciences, and financial services.

5. Rapid onboarding

As a fully managed, first-party Azure service, getting started with Azure Databricks is easy. With just a few clicks, data teams can get started with Azure Databricks to set-up a Databricks workspace. They can effortlessly collaborate across teams and access all other needed services immediately through the Azure portal. Azure Databricks provides an easy path to get started and is available to customers around the world in 34 Azure regions.

#management #data warehouse #azure #databricks

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5 reasons Databricks runs best on Azure
bindu singh

bindu singh

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  • The candidate's body weight should be proportional to his or her height.
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  • Physical fitness is required of the candidate.
  • Eyesight requirements: a minimum of 6/9 vision is required. Many airlines allow applicants to fix their vision to 20/20!
  • There should be no history of mental disease in the candidate's past.
  • The candidate should not have a significant cardiovascular condition.

You can become an air hostess if you meet certain criteria, such as a minimum educational level, an age limit, language ability, and physical characteristics.

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5 reasons Databricks runs best on Azure

For any organization running big data workloads in the cloud, exceptional scale, performance, and optimization are essential. Databricks customers have multiple choices for their cloud destination. Azure Databricks is the only first-party service offering for Databricks, which provides customers with distinct benefits not offered in any other cloud. The first-party integration and our unique strategic alliance saves customers time and effort and significantly accelerates time to value. As Forrester notes, “Competitive advantage is no longer about ‘first to market’, it’s [now about] ‘first to value’”1.

Azure Databricks enables customers to be first to value for these five reasons:

  1. Unique engineering partnership
  2. Mission-critical support and ease for commerce
  3. Azure ecosystem
  4. Native security, identity, and compliance
  5. Rapid onboarding

1. Unique engineering partnership

The Azure and Databricks engineering teams are constantly working together to deepen the integration of Databricks within Azure to enable rapid customer success. In fact, both engineering teams have spent hundreds of thousands of hours optimizing Databricks for Azure. This collaboration drives a highly performant level of cloud-scale operations that would not be possible without this unique engineering partnership. The engineering teams work together to enhance the performance and scalability, monitor environments and provide business-critical support. Since Azure Databricks is a first-party service, the Azure Databricks engineering team can optimize the offering across storage, networking, and compute. Azure customers not only benefit from this optimization, but they also get access to new innovations, like the exclusive preview of the new Photon engine, before they are available in any other cloud.

2. Mission-critical support and ease for commerce

Thanks to our unique partnership, Microsoft is able to provide Azure Databricks customers with enterprise-level support from one single place instead of a bifurcated model they would experience elsewhere. This is important for customers running mission-critical workloads with Databricks. With Azure Databricks, customers also benefit from a streamlined licensing process. Azure customers can start using Azure Databricks immediately, with no additional licenses to sign or procure. This is in addition to receiving a single bill, greatly simplifying the customer experience and providing them the level of support and predictability customers expect from their cloud providers.

3. Azure ecosystem

Azure Databricks is fully integrated with the vast portfolio of products and services in the Microsoft Azure ecosystem, accelerating customers’ time to value. The joint engineering effort ensures seamless integration of Azure Databricks with services such as Azure Data FactoryAzure Data Lake StorageAzure Synapse Analytics, and Power BI to deliver a consistently integrated experience for customers. The highly optimized Azure Synapse connector, for example, is the most popular service connector across all of Databricks. Over 1,500 customers, such as Marks & Spencer and Rockwell Automation, have used Azure Databricks and Azure Synapse together to modernize their analytics platform in the cloud and gain high-performance and scalability. The Power BI connector to Azure Databricks makes it easier and more performant to deliver great BI visualizations and reports through the same Power BI service. The combination of these services operating seamlessly together reinforces why Azure is the preferred destination for running mission-critical analytics workloads with Databricks.

4. Native security, identity, and compliance

Another benefit that Azure Databricks uniquely provides is enterprise-grade Azure security, including Azure Active Directory (Azure AD) integration, role-based access controls, and service-level agreements (SLAs) that protect your data and your business. Native integration with Azure AD enables a customer to run complete Azure-based solutions using Azure Databricks from the moment an Azure Databricks workspace is deployed. This is a zero-touch experience for the customer compared to stitching together a separate, stand-alone authentication solution after deploying a workspace. With Azure AD authentication, you can connect securely to other services from Azure Databricks using your Azure AD account. The identity and access management is propagated throughout all other Azure services in the solution and flows between them in one seamless experience, which means less work and less time to get a solution up and running.

From a compliance perspective, Azure Databricks is the only Databricks environment with the FedRAMP High Authorization along with 12 other security certifications. This authorization provides customers assurance that Azure Databricks is designed to meet U.S. Government security and compliance requirements to support their sensitive analytics and data science workloads. Azure Databricks also achieved the HITRUST Common Security Framework (CSF) certification, which enables customers to use Azure Databricks with confidence for data analytics and data science in regulated industries such as healthcare, life sciences, and financial services.

5. Rapid onboarding

As a fully managed, first-party Azure service, getting started with Azure Databricks is easy. With just a few clicks, data teams can get started with Azure Databricks to set-up a Databricks workspace. They can effortlessly collaborate across teams and access all other needed services immediately through the Azure portal. Azure Databricks provides an easy path to get started and is available to customers around the world in 34 Azure regions.

#management #data warehouse #azure #databricks

How To Develop, Build, Deploy Application using .NET 5, CI/CD, Azure App Service, Azure...

Develop, Build, Deploy applications using .NET 5, CI/CD, Azure App Service, Azure SQL Database, Azure Storage Account.

Welcome to my hands-on session on the Complete Development and Deployment of a.NET5 application using Azure services. My name is Sandeep Soni. I am a Microsoft Certified Trainer and an Azure Architect.

Connect with me 👋
Call Sandeep Soni for Career Guidance ► +91 98490 01840
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👨🏻‍🏫 This complete tutorial is compiled by Sandeep Soni, a Microsoft Certified Trainer, a Software & Corporate Trainer for 24 years!
For more great tutorials from the creator of this course, check out https://www.bestdotnettraining.com/

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#azure sql database #azure sql #azure #azure app service #.net 5 #ci/cd

Aisu  Joesph

Aisu Joesph

1626490533

Azure Series #2: Single Server Deployment (Output)

No organization that is on the growth path or intending to have a more customer base and new entry into the market will restrict its infrastructure and design for one Database option. There are two levels of Database selection

  • a.  **The needs assessment **
  • **b. Selecting the kind of database **
  • c. Selection of Queues for communication
  • d. Selecting the technology player

Options to choose from:

  1. Transactional Databases:
    • Azure selection — Data Factory, Redis, CosmosDB, Azure SQL, Postgres SQL, MySQL, MariaDB, SQL Database, Maria DB, Managed Server
  2. Data warehousing:
    • Azure selection — CosmosDB
    • Delta Lake — Data Brick’s Lakehouse Architecture.
  3. Non-Relational Database:
  4. _- _Azure selection — CosmosDB
  5. Data Lake:
    • Azure Data Lake
    • Delta Lake — Data Bricks.
  6. Big Data and Analytics:
    • Data Bricks
    • Azure — HDInsights, Azure Synapse Analytics, Event Hubs, Data Lake Storage gen1, Azure Data Explorer Clusters, Data Factories, Azure Data Bricks, Analytics Services, Stream Analytics, Website UI, Cognitive Search, PowerBI, Queries, Reports.
  7. Machine Learning:
    • Azure — Azure Synapse Analytics, Machine Learning, Genomics accounts, Bot Services, Machine Learning Studio, Cognitive Services, Bonsai.

Key Data platform services would like to highlight

  • 1. Azure Data Factory (ADF)
  • 2. Azure Synapse Analytics
  • 3. Azure Stream Analytics
  • 4. Azure Databricks
  • 5. Azure Cognitive Services
  • 6. Azure Data Lake Storage
  • 7. Azure HDInsight
  • 8. Azure CosmosDB
  • 9. Azure SQL Database

#azure-databricks #azure #microsoft-azure-analytics #azure-data-factory #azure series

Eric  Bukenya

Eric Bukenya

1624713540

Learn NoSQL in Azure: Diving Deeper into Azure Cosmos DB

This article is a part of the series – Learn NoSQL in Azure where we explore Azure Cosmos DB as a part of the non-relational database system used widely for a variety of applications. Azure Cosmos DB is a part of Microsoft’s serverless databases on Azure which is highly scalable and distributed across all locations that run on Azure. It is offered as a platform as a service (PAAS) from Azure and you can develop databases that have a very high throughput and very low latency. Using Azure Cosmos DB, customers can replicate their data across multiple locations across the globe and also across multiple locations within the same region. This makes Cosmos DB a highly available database service with almost 99.999% availability for reads and writes for multi-region modes and almost 99.99% availability for single-region modes.

In this article, we will focus more on how Azure Cosmos DB works behind the scenes and how can you get started with it using the Azure Portal. We will also explore how Cosmos DB is priced and understand the pricing model in detail.

How Azure Cosmos DB works

As already mentioned, Azure Cosmos DB is a multi-modal NoSQL database service that is geographically distributed across multiple Azure locations. This helps customers to deploy the databases across multiple locations around the globe. This is beneficial as it helps to reduce the read latency when the users use the application.

As you can see in the figure above, Azure Cosmos DB is distributed across the globe. Let’s suppose you have a web application that is hosted in India. In that case, the NoSQL database in India will be considered as the master database for writes and all the other databases can be considered as a read replicas. Whenever new data is generated, it is written to the database in India first and then it is synchronized with the other databases.

Consistency Levels

While maintaining data over multiple regions, the most common challenge is the latency as when the data is made available to the other databases. For example, when data is written to the database in India, users from India will be able to see that data sooner than users from the US. This is due to the latency in synchronization between the two regions. In order to overcome this, there are a few modes that customers can choose from and define how often or how soon they want their data to be made available in the other regions. Azure Cosmos DB offers five levels of consistency which are as follows:

  • Strong
  • Bounded staleness
  • Session
  • Consistent prefix
  • Eventual

In most common NoSQL databases, there are only two levels – Strong and EventualStrong being the most consistent level while Eventual is the least. However, as we move from Strong to Eventual, consistency decreases but availability and throughput increase. This is a trade-off that customers need to decide based on the criticality of their applications. If you want to read in more detail about the consistency levels, the official guide from Microsoft is the easiest to understand. You can refer to it here.

Azure Cosmos DB Pricing Model

Now that we have some idea about working with the NoSQL database – Azure Cosmos DB on Azure, let us try to understand how the database is priced. In order to work with any cloud-based services, it is essential that you have a sound knowledge of how the services are charged, otherwise, you might end up paying something much higher than your expectations.

If you browse to the pricing page of Azure Cosmos DB, you can see that there are two modes in which the database services are billed.

  • Database Operations – Whenever you execute or run queries against your NoSQL database, there are some resources being used. Azure terms these usages in terms of Request Units or RU. The amount of RU consumed per second is aggregated and billed
  • Consumed Storage – As you start storing data in your database, it will take up some space in order to store that data. This storage is billed per the standard SSD-based storage across any Azure locations globally

Let’s learn about this in more detail.

#azure #azure cosmos db #nosql #azure #nosql in azure #azure cosmos db