Hi Team,

Based on the project requirements, I was looking at different features included 
in Apache NIFI and found that this would be the good way to interact with the 
Development team who have developed NIFI and are looking for suggestions/inputs 
from the User community to improvise the product and also it is a great medium 
where the users who are using this NIFI would get the valuable inputs from the 
developers for their requirements.

Need your assistance/inputs on the below requirements and how these can be 
implemented in NIFI to achieve the solution.


è  I have observed that, Event Based Scheduling/Any Trigger Based Scheduling is 
yet to be included in the latest NIFI product. Any workarounds/alternatives to 
achieve this?

è  Can Spark/Hive Jobs can be scheduled on time basis and also executed through 
NIFI? If Yes, please suggest how can we do this?

è  Can we get the data from multiple tables of Oracle/SQL Server/Teradata and 
put directly in S3/HDFS and also directly to RedShift/Any database? If Yes, 
please suggest how can we do this?

è  Also can we do the transformations/manipulations on the data while moving it 
to S3/HDFS from RDBMS databases? If Yes, please suggest how can we do this?

è  Can we do the validations and also find the duplicate data/records before 
you put the data into S3/HDFS. For example, I have moved the data from RDBMS 
tables into S3 and as part of daily loads, I need to check whether any 
duplicate records are present in the new load and need to remove those records 
while data movement itself. Please provide your inputs how can we do this?

è  Also can you provide valuable inputs on how can we achieve the workflow 
execution  dependency i.e. For example, I have designed one workflow and based 
on this 1st workflow execution completion, I need to start the second workflow 
else need to start another workflow. Can this be achieved in NIFI?

It would be really helpful and appreciated on the above inputs, as you would be 
the best team who can help the us the solutions/workarounds in using the NIFI 
product as it is been identified as a good user friendly product for Data 
Ingestion/movement.

Looking forward for your reply with the requested suggestions and solutions. 
Thanks in Advance!!!! :):)

Regards,
_______________________________________________________________________
Balaji KNV_Hari
Technical Architect

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