Data warehouse transformation and up-gradation can increase the responsibilities of data engineers, DBAs, and data specialists.
Data on cloud is the new trend of the technological world. Compared to a traditional legacy system or an on-premise model of storing data, data migration to the cloud has multiple benefits in terms of scalability, flexibility, security, and performance. From a business perspective, you can view it as a time saving and the best way to keep your data secured and facilitate faster access to data. This eventually paves the way for gathering valuable business insights from the data and make much better-optimized business decisions.
The information on the cloud can be set up without any hassle by contacting cloud-based platforms such as Salesforce, Amazon Web Services, Microsoft, and more. The cloud service provider takes care of the security features, system maintenance and upgrades, throughput and performance, infrastructure, and ensures seamless connectivity between your organization and your vital data on the cloud. It eliminates the need for the IT work tasks required when data is stored in a legacy environment. Data warehouse, like object storage, file storage, and block storage, provides their advantages and have individual use cases.
This post describes some of the vital aspects to be considered before migrating your data on the cloud:
Strategize on the plan for data on cloud migration: Your data can unlock a treasure of potential business opportunities when analyzed and used correctly. You must consult with your organization’s different business units to understand the volume and quality of data processed. An expert team of IT professionals from Database Administrators (DBA’S), Business Intelligence analysts to software engineers must sit down to plan, strategize, and decide on the data to be migrated on the cloud.
This must be done in consultation with the business analysts’ team of your organization as they play a crucial role in making crucial business decisions from the data. A SWOT analysis for the need of migration can help you understand the market and scope for the data on cloud migration.
Decide on the financial costs and resources required: Depending on your organization’s financial capacity, you must decide on the funds to be invested for data on cloud migration. For instance, Big Query offers a pricing model to customize the pricing depending on the requirements. You must invest in the model, which gives you the maximum benefit with minimum costs.
Depending on the business units’ needs and the usage of data, you should allocate and cut down resources as and when required. With the data on cloud migration, many IT support services and maintenance activities will no longer be needed. Given this, human resources should be upskilled to various departments to maximize the utilization of your costs.
Ensure data security and encryption policies: Data on the cloud is highly secured, and most of the cloud providers offer the best form of encryption. However, you must be sure of data security and the mechanisms used to keep your data safe from keeping malicious attacks and hackers. Many of the cloud data services providers allow you to customize and enforce encryption mechanisms until the local cell level. You can also enable cryptographic methodologies to filter external hacking attempts, mask your personally identifiable information, and ensure access controls to only legitimate data users.
Data Insights and Business Development: With the data on the cloud, you can invest more time in data visualization, analytics, and discovering hidden trends, patterns, etc. This will translate into ideas and measures for business development to generate revenue. You must identify critical areas of improvement in your organization’s various business units and accordingly concentrate on making maximum use of data. With more effort and time dedicated to data engagement, you will be exposed to ideas for potential business opportunities.
These are just some instances on how the data warehouse transformation and up-gradation can increase the responsibilities of data engineers, DBAs, and data specialists, making your job much more beneficial, rewarding, fulfilling, and not to forget engaging.
Consider replant forming your on-premises information with the data warehouse migration. Whatever methodology suits your case: moving all information or having a crossbreed information stockroom where state, delicate information stays on-premises. The residue of the information is to be transferred to the cloud. However, before you store any data in the cloud, check up on the company that you choose.