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Three simple steps- How you can migrate from your own premise data warehouse to Cloud data warehouse

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Three simple steps- How you can migrate from your own premise data warehouse to Cloud data warehouse 

 

Migrating from your own premise data warehouse requires a considerable investment in resources and time. From replanning your data model task scheduling in a different platform to handling changes in the application’s database driver, many things should be considered before and during the migration.  

Therefore, a strategic approach is needed to compute this process. This article is intended to provide the complete procedure of migrating from a data warehouse to a Cloud in three simple steps. 

Before knowing the three simple steps, you should see why a Cloud data warehouse is more crucial for your business data. 

On-premise vs. Cloud 

Any system collecting data from a wide range of sources is a data warehouse. It is the best solution for business intelligence and analytical reporting.  

On- premise data warehouse works on onsite servers and helps in collecting, storing, and analyzing data. Hardware infrastructure management is required for this. 

The businesses may deploy their data warehouse on-premise, in the Cloud, or a combination of the two depending upon their pros and cons. However, recently, Cloud has been leaving on- premise behind due to the following reasons: 

  • Upfront cost: Hardware infrastructure demands upfront cost while working with an on-premise data warehouse not required in a Cloud data warehouse. 
  • Ongoing cost: On- premise data warehouses need upgrade and maintenance costs while Cloud data warehouse deals with the pay-as-you-go model. 
  • Performance: On-premises data architecture is an extract, transform, load (ETL) while Cloud gives leverage by working on extract, load, and transform (ETL). 
  • Flexibility: Cloud provides a design for more prominent data formats and structures than the traditional data warehouse. 
  • Scale: Scaling an extensive dataset is quickly done by Cloud, where you will struggle with a conventional data warehouse. 

How you can migrate from your own premise data to your new cloud Data warehouse 

The migration process to Cloud is gradual and not one time. So, here are the three simple steps: 

Migrate your existing data 

In this step, you have to migrate your existing data to the new data warehouse, so you don’t lose your historical data.  

Choose any good Cloud DB available in the market like Azzure, Redshift, Snowflake and copy your data there.  

Note: You can choose anyone and you can use it as your data warehouse  

As a one-time activity, you have to migrate your historical data into your new data warehouse. 

The key challenges here are:- 

  • Choosing the proper infrastructure: Copying smaller datasets and migrating in different Cloud BD is recommended. 
  • Copy all your existing data: make sure to migrate every data, so you don’t lose anything. 

Migrate ETL 

You need to set up an ongoing replication process. While migrating the data, your ETL might still be pointing to the old data warehouse. You may have to change the configuration or rewire the database to remove this. 

Migrate BI 

The last step is to migrate BI and analytics infrastructure. It would help if you again changed the configuration to point to the new data warehouse. After this step, you can analyze your new and old data in a new data warehouse five times faster. 

Final word 

A traditional data warehouse consists of a large amount of data for all the business areas. Hence, it would help if you migrated them step by step and not all at a time. If the result is a failure, take extra care while undertaking the design changes. 

This incremental approach gives you access to the old data warehouse while synchronizing at the Cloud data warehouse. 

Five steps to move from on-premises to the cloud-based DB  

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Five steps to move from on-premises to the cloud-based DB 

 

There is no denying the fact that migrating your data to the cloud-based DB is very time-consuming, but let’s agree that it is worth every second of your time. Furthermore, it is also imperative to efficient planning, combining data strategies, and testing because if done incorrectly, it could result in more harm than benefit. A good cloud migration plan is essential to effectively use the cloud migration tools to make automation and streamlining of data more straightforward and cost-effective.  

The five steps listed below will help you complete your cloud migration from on-premises to the cloud-based DB and will address the most common challenges you may face during the process. If done correctly, you will benefit as it will reduce costs, allow more straightforward user access, improve performance, and pride you on many other cloud DB advantages.  

CHOOSE YOUR CLOUD

 

The first and the foremost step in migrating to the cloud is to choose the best cloud database for your company which includes extensive research on different clouds and your company’s demands and needs. Firstly, you should know about the downtime that usually comes with migration. 

 When choosing a cloud, keep in mind that your on-premises and cloud database system may not have the same features. There are high chances that you cannot do something on the cloud, which you did on-premises, so writing your cloud-based code may be necessary. Hence, it is crucial to thoroughly understand your new and old systems to take advantage of the features and cope well with the changes.  

 MIGRATING DATA: COPY & REPLICATE

Migrate your current data from on-premises to the cloud as a one-time activity. However, you will anyway need time to transfer everything. In such cases, downtime occurs when the cloud infrastructure services become unavailable for some time. The easiest way to avoid downtime is to copy all the data to the cloud while running on-premises.  

NEW APPLICATIONS

There are two migration methods, rehosting and refactoring. The process of migrating your application to its current state is known as Rehosting while making changes in the application’s architecture to take advantage of cloud capabilities. So, point to the new application to use the cloud DB.  

POINT NEW BI TOOLS

Choosing the right BI tool for your business platform is crucial, especially when migrating data. Therefore, it is essential to point BI tools to the new cloud DB. If you want to use the BI tools, you need correct and prepared data from an outside source such as a data warehouse. Some of the best BI tools available in the market right now are Looker, Chartio, Yellowfin BI, etc. You can also take advantage of the free trials available, which will help you choose the best one that suits your requirements.  

MIGRATE YOUR LEGACY ETL

The last step is to migrate your legacy to ETL. It is essential to consider an ETL procedure when migrating. ETL is an Extract, Transform, and Load system used for copying data and apps to the cloud while keeping the end-users on-premises. It also allows you to migrate your data and applications parallel to the cloud database.  

CONCLUSION 

Migration of data with cloud data can help improve internal communication while also providing better recovery in unfortunate events. Nowadays, more and more companies are using cloud migration strategies as cloud solutions are entirely scalable and cost-effective. Every company- from small to large can use cloud migration. A robust process is essential and beneficial for a company that has opted to migrate data from on-premises to cloud migration.  

 

 

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