Release Notes - 2023.06

S.No.	Feature/ Enhancement	Description	Functionality after adding	Added advantage
1	Feature	Anomaly detection implementation in Business Rule Validations. Anomaly detection identifies the abnormalities or deviations from the normal range and can be applied to any column(s) to detect the anomalies. Currently, anomaly detection is implemented in Business Rule Validations.	The system recommends rules using the AI functionality.	Abnormalities from the normal range in huge sampling data can be easily notified using Anomaly Detection.
2	Feature	Enable Bulk Data Ingestion and Bulk Data Profiling in a Query Chain. Bulk Data Ingestion is a new widget introduced in Query Chain. Using BDI, we can select and ingest multiple tables of the same RDBMS data type. Simultaneously, we can also check the row count and preview the metadata of the selected table. BDI is followed by BDP (Bulk Data Profiling) which is like the existing data profiling functionality but here we can view multiple tables profiling details one after the other as a dropdown list pattern.	Bulk Data Ingestion ingests data from multiple tables of the same RDBMS data type. Bulk Data Profiling gives the profiling details of multiple selected tables.	Multiple tables of the same RDBMS data type can be ingested parallelly. Multiple tables profiling details can be visualized one after the other.
3	Feature	Enabling data domain prediction of columns in a validation scenario. Here, in this process, the domain data type is predicted by the system, and the end-user has the option to override the system-predicted domain type.	The domain data type is predicted by the system itself.	The Domain Prediction predicts the domain type of any selected number of columns at a time.
4	Feature	Rule recommendation implementation in Bulk Data Validation. Previously, the end user had to apply different validation rules manually for each selected field or column but now the system recommends rules for all the selected fields. The end user must either select all or specific rules before applying the rules recommendation option.	Here, the system recommends the rules for multiple selected validations using the AI functionality.	Adding different rules for bulk validations at a time could be a challenging task but rule recommendation in BDV serves this purpose.
5	Enhancement	AWS Athena as a new data source. Now, we can connect, and read data from AWS Athena.	We can connect AWS Athena to the application.
6	Enhancement	Enabling Nested JSON in AWS S3. We can now analyze and use Nested JSON in AWS S3.	Now, we can use Nested JSON in AWS S3.
7	Enhancement	Deploying private keys in the respective client’s AWS Secret Manager. Previously, the private key to connect to any data sources was hard coded within the application’s server but now to enhance security the same private key is stored in the respective client’s AWS Secret Manager cloud.	We can now read the data using the private key stores in the AWS Secret Manager cloud.	We can enhance the security of the data source connection that uses the private key.