Cloud Data Migration: 5 Lessons to Ponder


According to a recent survey conducted by IDG, around 73% of organizations worldwide have at least one portion of their entire data infrastructure stored in the cloud. This clearly suggests that the advent of cloud data warehouses has positively impacted the data growth scenario by replacing the traditional, on-premise legacy systems.

Cloud Data Migration

A business entity has loads of data stored in its legacy systems, particularly computing resources. Cloud data migration entails transferring data to the cloud computing environment using advanced tools and methodologies.

Every organization wants to level up their game to remain ahead of their competitors. To ensure this, data analytics and other intelligent technologies are leveraged. The problem arises when the businesses find themselves incompetent in handling the vast amount of data stored in their legacy systems without making a major investment. This is where cloud computing comes into play. Using cloud computing, a massive amount of data can be handled easily that contributes to cost-efficiency, scalability, enhanced productivity and security, accessibility, and a lot more. Consequently, better insights can be derived from this data that leads to effective decision-making and overall profitability.

Now, the question arises –How challenging is the process of workload migration to the cloud?

The cloud migration process is not free from challenges, without a doubt. There can be a wide variety of issues that may emerge at different stages to hamper the entire migration progress.

Impetus, a prominent software products and services company, has been helping several organizations, including various Fortune 100 banks, in their cloud migration journey by eliminating core challenges. The experience has led to the unearthing of several methodologies that can be successfully implemented across various business organizations to make their analytics transformation journey smooth. Some of them are discussed below:

1.       Assess to act

No matter what you do, a proper assessment of the present situation, scenario, or system is extremely substantial. The same applies to the cloud migration process. For successful execution, a strong strategy is required that must encapsulate the proper assessment of the workloads that are ready to be migrated.

2.       Involve your stakeholders

While many organizations can address the core technical challenges of cloud migration process, they are particularly ignorant about their stakeholders’ apprehensions. Consequently, the state of imbalance becomes apparent. However, in most cases, the challenges the stakeholders face are mightier than the technical challenges, meaning it is crucial to involve everyone in the plan and work together to ensure successful cloud migration.

3.       Check your options

To guarantee Returns on Investment, you must mull over your technology needs and look out for options that suit your requirements in the best way possible. It is also important to compare them with your present-day investments to keep an upper hand. Besides, you can leverage your current investments wherever necessary to bring cost-efficiency.

By carefully considering the aforementioned tricks and techniques, transformation can be reduced to as much as 50% which saves money and effort while ensuring timely completion.


Comments

Post a Comment

Popular posts from this blog

Benefits of the Impetus Workload Transformation Solution

The Impetus Workload Transformation Solution helps simplify the intimidating task of data warehouse modernization. It accomplishes this simplification through immense experience that it has gained from large scale enterprise transformation projects. The solution boasts of strong automation capabilities aimed at delivering the fastest and most reliable transformation by migrating Ab Initio ETL graphs to the cloud data lake automatically. Any obstacles to Spark adoption can easily be removed using the solution in 3 easy steps: 1.       Automated legacy code transformation in which the legacy graphs are automatically transformed with the industry’s first intelligent transformation engine. 2.       Automated validation framework to validate transformed ETL graphs. 3.       Execution that helps customers execute their Ab Initio in their standard cloud environment. The solution helps convert, assess, va...
Read more

Lift to Shift Migration: Everything You Need To Know

Whenever there is a shift to the cloud-based services, everything related to the Information technology in an organization witness a transformation. There are numerous methods through which this cloud data migration takes place. However, one of the most cost-effective ways is the “Lift and shift” data migration approach. Lift and shift migration Enterprises that are looking forward to making digital shifts   to get the best of the latest technologies particular to cloud platforms, including AWS, Google, and Azure, are majorly focussing on innovation. Cloud platforms are generally preferred in such scenarios, thanks to their agility and scalability. Lift and shift migration involves shifting of the entire existing workload to the cloud by simply running it as it is on the sources original to the cloud. Thanks to its uncomplicated nature, many business owners are looking forward to understanding its core aspects and benefits to plan and execute the entire shift effort...
Read more

Data Lake and Hadoop: Boosting Power Analytics Like Never Before

One of the critical measures to improve the ROI is the proper usage of power analytics backed up with the powerful amalgamation of Hadoop and Data Lake . If your organization is looking forward to effective data management, there is no better way to go about it than putting to use Hadoop and data lake together. From providing basic functionalities like storage to the more specific ones like data analysis, Hadoop offers the required framework and help research as well as technical teams to go forward seamlessly. Another important feature of Hadoop is that it is not limited to a single language or mode of work. If organizations are looking forward to growing strategically with their data, Hadoop can be very well leveraged. The simple logic can be applied here to understand the importance of Hadoop when it comes to data management. When organizations research, lots of data get generated. Not every bit of data is useful and including such unnecessary figures can affect the final re...
Read more