While migrating data to the cloud, one of the most important requirements is to accurately track its lineage. Correct data lineage details ensure that data is transferred from the source system to the destination platform consistently and accurately. Data lineage, in its simplest form, refers to the act of tracing data as it passes through various processes, transformations, and systems. The traditional approach of tracing data lineage is known to produce inaccurate information, a longer time to analyze data, and a higher probability of critical data omissions. With these drawbacks in mind, Datametica developed Eagle, a state-of-the-art automated migration assessment tool, to make Cloud migration seamless.
We had the opportunity to sit down with Chahat Patni, Datametica’s [Technical Project Manager], to understand the importance of data lineage tracking, its role in data migration, what common challenges organizations face with tracking it, and Eagle’s role in accurately tracking data lineage.
Datametica Marketing Team [DMT]: Could you briefly explain why tracking data lineage is so heavily stressed in the cloud migration industry?
Chahat Patni:
While embarking on a data migration journey, it is vital to be mindful of data lineage. Data lineage helps organizations find the end-to-end lineage and figure out what needs to be done to migrate a process, stream, or object. Inaccurate migration caused by inconsistencies in data lineage might lead to the breakdown of flows and processes during their execution.
Datametica utilizes its automated evaluation tool, Eagle, to determine the data lineage. The tool also automates the process of tracking the lineage of data. Eagle is used to gain a thorough understanding of the source system after collecting the organization’s prerequisites. The tool identifies the existing technology stack and extracts the source system’s data lineage. The lineage information facilitates our comprehension of the interdependencies among multiple objects, tables, scripts, ETL, and scheduling tools.
⚠️ [NEWS] Eagle will be available for users on the Google Cloud Platform Marketplace from 17th April 2023!
Eagle provides a comprehensive migration strategy that takes into account the varying degrees of data interdependence between tables. It is beneficial for the organization to arrange the migration priority based on the recognized level; for example, level 0 data should be migrated first, followed by level 1 data, and so on.
[DMT]: Is it possible to track data lineage manually? If yes, what are the common challenges that organizations face?
Chahat Patni:
Eagle allows us to save a lot of time, which is a huge perk. Within four to five weeks, the tool generates comprehensive reports on even the most complicated and high-volume source systems. As a result, enterprises are able to dramatically cut the anticipated time frame of their data migration journey. It also significantly decreases the cost of the migration journey, since the tool ensures that the assessment is performed precisely and the optimal migration plan is established, without the need for mid-journey changes or modifications.
Another key advantage of utilizing Eagle is the ability to create an efficient migration plan that is compatible with the existing architecture of the source system.
Eagle provides organizations with a number of business benefits, including an accurate assessment in far less time and detailed insights into the source systems. The tool is capable of using the organization’s requirements to generate a plan that is fully adaptable to its needs.
[DMT]: What are the other reasons that make Eagle soar above the other existing solutions?
Chahat Patni:
Aside from the ones I’ve already stated, Eagle is also well-versed in capacity planning; it determines the number of active tables to be moved as well as their linear sequence of migration. The tool provides enterprises with a clear view of the costs they will incur while migrating to the cloud. While using Eagle for migration planning, there are no hidden fees waiting to ambush you!
[DMT]:
Thank you, Chahat!
Chahat Patni:
Thank you!
Tracking data lineage is a crucial step in every data migration journey. It is necessary to understand the origin, movement, and transformation of data, to ensure successful data migration.
Datametica is a prominent cloud migration partner that has helped many businesses move to the cloud successfully by leveraging its cutting-edge automated product suite. Get in touch with us to learn how you can utilize Eagle for your migration journey!
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About Datametica
A Global Leader in Data Warehouse Modernization & Migration. We empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.
Accelerate Your Cloud Migration
FAQs
What is data lineage in ETL?
Data lineage is the documentation and tracking of the origin, movement, and transformation of data as it flows through the systems and processes of an organization. Tracking data lineage contributes to data accuracy, traceability, and compliance while also providing a clear understanding of how data is transformed throughout the ETL process.
What is data lineage and why is IT important?
Data lineage is the process of tracing data from its source to its final destination. It is essential because it enables organizations to ensure data accuracy and compliance, comprehend how data is utilized, and make informed decisions. Additionally, it facilitates data governance and risk management.
What is the difference between data lineage and data flow?
Data lineage refers to the journey and history of data from its source to its final destination, including transformations and metadata. Data flow refers to the movement of data through a system or process, often depicted graphically. Data lineage provides a more comprehensive and detailed view of data movement and utilization than data flow.
