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Migrating to the cloud is more than a technology shift u2014 itu2019s a business transformation. Successful cloud data migration requires careful planning to avoid pitfalls like downtime, data security risks, or budget overruns. At Datametica, we go beyond simple data transfer by delivering end-to-end strategies that ensure accuracy, compliance, and efficiency throughout the migration journey.<br><br>Our specialized data migration services are built to handle complex workloads, modernize legacy systems, and accelerate your move to the cloud with minimal disruption. With Datameticau2019s expertise, organizations
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Challenges in Data Migration Planning By Datametica December 16, 2021 Blogs Home » Blogs » Challenges in Data Migration Planning Data Migration is a multifaceted process of transferring data from one system to another. The changes in database applications and storage modes over many years in the legacy system makes this process troublesome and dif?cult to control. That is why it is very important to have a well developed data migration strategy to ensure successful delivery of the projects. So now let us discuss some of the major challenges or hurdles that one may face in Data migration planning. We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies. Privacy Policy Do not sell my personal information. Reject All Accept All Cookie Settings
Challenges in developing Data Migration planning: Data Migration Planning becomes so complex due to the following main reasons: Complex work?ow, job ?ow, and data ?ow. Data Redundancy The processing happens at many places (ETL, SP, View, Scripts, etc) Limited documentation about the current systems Overview of the complete lineage. Incomplete inventory of artifacts and their respective ETLs. Data redundancy becomes one of the most important hurdle’s in database migration, as sometimes the data to be migrated has been collected over many years with no proper quality checks. Absence or lack of proper documentation of the data can make data migration planning dif?cult for the data handlers. Lack of documentation also leads to unknown job dependencies and table associations which can make data migration a messy affair. Incomplete ETL work?ow & data lineage is another very important part to consider while data migration planning. All these complexities ensure that there are always some gaps remaining in the data migration strategy developed with manual methodology including cloud experts and engineers. These gaps result in data migration to the cloud projects exceeding timeline and cost. To resolve these gaps, Datametica uses its data warehouse assessment tool – Eagle that helps in building a complete understanding of the current
Data warehouse Platform like Teradata, Netezza, Oracle, Hadoop, etc. It provides details regarding access and query patterns, user behavior pattern, data lineage, change management, and other critical insights to streamline the data migration process. Combining Eagle with our team of experts, we provide a recommended data migration plan with an accurate estimation of cost and resources which also considers client business requirements. Hence, we can comfortably say that Data migration is a complicated process, but at Datametica we simplify the whole cloud migration process which greatly reduces the business risk. Recommended for you View More Blog What is data validation and its importance in Data migration? Blog Google Cloud vs AWS vs Azure Blog Why Retailers Should Choose Google Cloud Platform
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