## 5 Evaluation and Discussion
### Discussion  
Currently, businesses and database professionals encounter data challenges as data are enormous and a data management solution needs to be provided to manage these data [51]. Although Cloud storage is being used, it compromises security. Analysis of the existing scenario indicates a lack of proper query tools that support domain-specific language. A workflow-based query management system using a Polystore database approach is presented in the Proposed System. Data access to ZTF data using the Proposed System vis-a-vis the web based system of IRSA is compared. Experimental results show that querying is easier and more understandable using the workflow method. The proposed system also supports multi-object search where users from astronomical domain do not have to resort to complex programs. The range of queries supported is also wider due to the multi-object search support.  
The rapidly growing archive of ZTF data warrants a top-down database design approach. The current research tries to incorporate these frequent changes in astronomical data (i.e., PTF, iPTF, ZTF, LLST) using a scalable Polystore architecture whose top-down approach facilitates the scalability issues through data discovery and reduction of data migration since the images are stored in the IRSA source. Finally in the absence of exact standard evaluation methods, the current architecture is contrasted with frameworks provided by past data integration models which are FDBS for heterogenity, autonomy and transparency as well as the ETL framework provided by Data Warehouse.  
The volume and diversity of open data accessible in the astronomical sector presents a significant management problem when utilizing a top-down database design. The top-down design necessitates detailed data analysis in order to model conceptual and logical data. This data modeling process requires time and effort when working with large amounts of data. Another challenge arises when automating the extraction of vast amounts of open link data from the web.  
The astronomical data archives are growing exponentially, which adds a variety of new data models. ZTF data also has graph data named Lightcurves used to analyze the light intensity of astronomical bodies or regions as a function of time. The graph data in ZTF present a plethora of avenues for future work. Future works include monitoring data integrity by comparing the query results of the query system with the results of IRSA web service. A variety of queries with different cases will be tested for precision, and the query  
Figure 9: Query Comparison.  
system's recall will be studied. This will help in confirming the accuracy and integrity of the local query system.  
Another future work that will be performed expeditiously is the integration of data from the Legacy Survey of Space and Time (LSST) into the local database. The LSST concept is to scan the sky deeply, widely, and rapidly using a single observing approach, resulting in data collection that meets the majority of the science goals simultaneously. The challenges associated with integrating a new database into an existing Polystore architecture can be surmounted.  
The solution should additionally retain data integrity when compared to the original source of ZTF data. In future, we can also develop the precision and recall of the findings for the proposed solution that must adhere to the web system given by IRSA.