Data Lineage: Keeping Pace with Changes in Your Big Data Landscape
Any organization that has existed for more than just a couple of years probably has data residing on a confusing hodgepodge of servers from different vendors that may support different platforms. These heterogeneous big data ecosystems have been cobbled together to work harmoniously, but too often the connections between systems are poorly documented. Millions of data items may change every day, but most organizations would probably be hard pressed to say exactly where and how their data changes.
Data lineage and Data Relationships Provide a Map
Understanding your environment’s data lineage and data relationships are the keys to getting a handle on what’s really happening with your data. Data lineage looks at the lifecycle of an item of data from the moment it’s created to the moment it reaches its final destination, including the transformations it undergoes along its route. When there are questions about the accuracy of data, data lineage information makes it possible to track data back to its source, a process that would be extremely time consuming without an automated data lineage solution. Data lineage can also verify that any transformations the data undergoes are correct. Knowledge of data relationships helps to evaluate the impact of changes on other systems.
Graphing Data Lineage and Data Flow Makes it More Understandable
One of most important benefits of mapping data lineage and data flow is that it establishes a baseline. Mapping data graphically also creates an interface that’s intuitively graspable and easier to interpret than a list of data names. This makes it straightforward to confirm that systems are running normally, and more importantly, it can make unusual activity stand out.
Data Lineage: Data Transparency is a Must
It’s equally important to understand the effect of authorized changes. Impact analysis isn’t feasible without extensive knowledge of the big data landscape. How will data systems downstream be affected by adding a new field to a table? What will need to be adjusted if the definition of a field changes? Making modifications necessitates a thorough grasp of data dependencies and relationships.
Compliance and auditing demand data transparency. Regulations in the financial area now require that organizations can demonstrate that they have control over the entire lifecycle of their data, including understanding the effects of changes. Auditors want to see change management procedures that reflect a thorough understanding of the interrelationship of data throughout the big data ecosystem.
ROKITT ASTRA keeps pace with changes
ROKITT ASTRA is a superior data discovery tool that gives you insight into your entire data environment. It provides sophisticated graphics that make the flow of data between your databases understandable. Having data lineage visible and understandable improves collaboration and helps assure quality. ROKITT ASTRA helps reduce errors created by changes and gives you confidence in your data.
ROKITT ASTRA determines how your databases relate to each other. It facilitates analyzing the impact of changes on other parts of the system, and the insights it provides make it easier to be confident of regulatory compliance.
The benefits don’t end there. The insights ROKITT ASTRA provides make it possible to streamline procedures and discover new opportunities. It makes even the most complex environment understandable and provides actionable information to users. ROKITT ASTRA lets you get full value from your data.