Azure Data Migration From On Premise To Cloud – Cloud migration is the process of moving data, applications, or other business functions from a company’s on-premise environment to the cloud. Many companies think that cloud migration can be challenging and complicated, which is why they don’t want to migrate. The complexity of cloud migration depends on the number of resources supported in each project. Given the benefits of cloud computing, its complexity and challenges are bearable.
In this blog post, we will explain the benefits, challenges and important steps of cloud migration for your companies. The purpose of this blog post is to guide your migration to the cloud. Let’s dive into cloud migration in detail!
Azure Data Migration From On Premise To Cloud
Why do we need the cloud instead of our environment on the award? To answer that question, we’ve listed some of the benefits for companies moving resources to the public cloud:
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Cloud migration can be challenging and dangerous. We have listed 5 key cloud migration challenges that you should think about before starting the cloud migration process:
We have prepared some questions that can help with the cloud migration process. We share these as a starting point only, these questions can be expanded depending on the complexity of your architecture:
When we want to move our data to the cloud, AWS, Azure and Google provide us with useful tools to speed up all the processes. Migrating all the apps can be a hassle if we have to do everything ourselves. Let’s see some services and tools together:
AWS Migration Hub: With AWS Migration Hub, you can explore servers including server profiles, performance usage, and network connections. When planning a migration with AWS EC2, you can use this service with EC2 recommendations and cost estimates. It also tracks the status of each migration.
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AWS Database Migration Service: Database migration can be complex and time-consuming for most companies. Registering and converting to a new type of database requires a lot of time and resources. With AWS DMS, the migration begins, while our on-premise database continues. AWS DMS takes care of all the complexity. Also, we can replicate our database in different regions or available regions with cost efficiency.
CloudEndure Migration: Azure Migrate is a central hub for tools, progress tracking insights, and guidance for planning and successfully migrating to the cloud. Migration tools are integrated into this central dashboard.
Azure Migrate: Azure Migrate is a central hub for tools, progress tracking insights and guidance to plan and successfully migrate to the cloud. Migration tools are integrated into this central dashboard.
Azure Database Migration Service: Azure Database Migration Service is a tool that helps us simplify, guide and automate our database migration to Azure.
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Azure Data Box: On-premise, there is a lot of massive data. Data size, transfer time and network connectivity can be challenging in the migration process. To solve these, the Microsoft Azure Data Box cloud solution allows us to send terabytes of data in and out of Azure in a fast, cheap and reliable way.
BigQuery data transfer service: Companies generate and store large amounts of data every day. BigQuery Data Transfer Service helps us move our data warehouse from on-premises to BigQuery for better performance. Automate the data transfer process by reducing cost and complexity.
Transfer Service: Google Transfer Service performs large-scale data transfers from online and on-premise sources to Google Cloud Storage.
In this blog, we have briefly explained what cloud migration is. We have listed the main advantages and disadvantages of cloud migration. We have also prepared questions that may be helpful in the cloud migration process. Also, we have shared some useful cloud services provided by AWS, Azure and Google.
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A multinational digital provider of IT services and solutions with more than 20,000 employees, headquartered in California, USA, accesses its data from an on-site data warehouse to generate business intelligence reports ( BI) had access.
How To Get Your Cloud Migration Right
Considering the benefits of a cloud-based data warehouse, the company wanted to migrate its data warehouse to a modern cloud-based data warehouse. Data Semantics recommended the company choose Microsoft Azure Data Warehouse because of its benefits and ease of migration.
Although the above benefits are of a more general nature, important reasons for migrating to the cloud are the benefits of moving to MPP (massively parallel processing) systems from SMP (symmetric parallel) systems.
Although migrating to an Azure data warehouse is always a better option, Cloud platforms have a new set of limitations and challenges, compared to an on-premises SQL Server data warehouse.
To maximize the benefits of cloud-based data warehousing, migrate approximately 800 GB of data from SQL Server data warehouse to the Azure cloud platform over a 12-week period.
Oracle Database Migration Decision Process
The Chief Data Semantics Architect recognized that the data on the site had to be redesigned to migrate to the Cloud (MS Azure Cloud Platform), considering how the data was managed on the legacy system.
The old on-premises data warehouse was operating in a fairly traditional ecosystem where the lack of an API was a major challenge. In addition, it was difficult to explain the rules, sequential activities and deliverables required for each step of the data transfer, as existing legacy systems did not match the Cloud ecosystem and capabilities.
The data semantics team manually isolated and managed each database element to facilitate error-free data operation. These DB elements had their own migration challenges that were worked on individually by team members.
As planned, the process of transferring 800 GB of data was completed in 12 weeks. Today, this global IT services provider accesses all of its data from the Cloud to generate real-time Business Intelligence (BI) reports.
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The move to an MPP system enabled faster queries, better data management and management, thus speeding up the production of business intelligence (BI) reports, especially in real time.
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Aws Migration: Migrating On Premise Application To Cloud
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