Data Warehouse Modernization: The Future

Technology is constantly changing. As technology changes, so do most people who adapt to the changing trends and assimilate their software to the developing technologies.

Data warehouse modernization is one of the most critical ways legacy software and data warehouse facilities can adapt to the changing trends. And improve the quality of their services.

The legacy modernization process is integral for the efficacy of the business of any entity in modern times. Through legacy modernization, companies and service providers can provide a pathway to resolving operational inefficiencies.

Also, it can meet technological constraints, attain customers’ expectations, and ensure the efficient integration of all new systems with older systems on the new platforms.

This article considers new trends in data warehouse modernization.

1. Amaze for Data and AI

As technology transforms and the enthusiasm concerning transitioning to the cloud continues to gain root, it has become essential to consider what more can be done to facilitate an efficient modernization framework.

The solution to this overwhelming need is leveraging Artificial Intelligence and automation to ensure a smooth data warehouse modernization framework.

Automation through Amaze for AI guarantees an agile, seamless, and secure transitioning process. Also, there is no possibility of downtime in the system.

2. Modernizing Legacy Data Warehouse to Synapse

Data Warehouse Modernization


Azure Synapse is a popular option for modernizing legacy data warehouses to the cloud. It enables endless insights and minimizes operating expenses.

Synapse combines business data warehousing and big data analytics to handle massive-scale integration and machine learning effectively.

But the question remains why you should migrate from your strict, costly on-premises legacy data warehouse to Azure Synapse.

Numerous businesses have had analytical data warehouses in their on-site data centers to help decision-making in various business divisions for some time now.

The sales, marketing, and finance divisions use these systems to create standard reports and dashboards the most. Using self-service business intelligence (BI) tools, they also hire business analysts to execute ad hoc queries. And also analyses on data stored in data marts built for multidimensional analysis.

Synapse completely changes the game in data warehouse modernization in the following ways.

  • First, it facilitates the low costs for implementation and maintenance.
  • Secondly, since there is low maintenance and implementation, you can focus on competitive insights instead of infrastructural management. The system is easily adaptable to newer innovations in the market. Hence, incorporating them into your architecture will be very simple.
  • Lastly, there are low storage costs even as data volumes grow, with the same levels of security.

3. Value Discovery Workshops

When it comes to leveraging new technologies, many companies are often skeptical about whether they would be willing to transform their systems and architectural framework into a new system.

The skepticism is founded on the fact that not all new systems have been tested adequately to ensure they are unlikely to fail. Therefore, they might not be willing to adapt to new techniques and may want to retain their legacy framework.

That is where value discovery workshops come in. For instance, Microsoft’s value discovery workshop gives all users a hands-on approach to using the new system before they can shift into it permanently.

The discovery workshop also rolls activities that allow customers to try out the latest technologies and interact with the experts who developed them.

Through these workshops, they learn how to use them and may be able to customize the solutions to get the best for their institutions.

These techniques and mechanisms are instrumental, especially for future trends, as they will allow consumers and companies to transform legacy data warehouses after trying out the new architecture.

Data Warehouse Modernization

4. Modernizing Oracle Exadata to Azure Synapse

Numerous service providers in the market are handling the migration from legacy to modernized systems. Identifying which service provider suits your needs is vital.

Especially since choosing a system, you are not compatible with could negatively impact the integrity of your data and the efficiency of the entire organization.

Biopharmaceutical firms in the United States have tried out numerous options, including Oracle Exadata and Azure Synapse, to see which would suit their needs. Of these options, Azure Synapse was the preferred choice.

Using Microsoft Azure data service components to achieve agility and cost-effectiveness was instrumental for this pharmaceutical company.

Since it reduced the total cost of ownership by 45%, increased scalability, security, and querying, and ensured the entire migration process was quick and effective as it was completed within 11 months.

The users noted that Azure Synapse was easier to set up, use, and administer. Therefore, the switch and transition worked very well for them.

Data Warehouse Modernization


Conclusion:

Modernization of data warehouses in the current age has become synonymous with cloud storage and migration to a use case that employs a new infrastructure.

The growing necessity for modernization of data warehouses has continued to prove how modern businesses should aim to take advantage of the contemporary trends alluded to above.

With these future trends, changes in data warehouse modernization shall become an easy task.