Design data provisioning strategy for big data system?
I'm designing Data provisioning module in an big data system. Data provisioning is describe as
The process of providing the data from the Data Lake to downstream systems is referred to as Data Provisioning; it provides data consumers with secure access to the data assets in the Data Lake and allows them to source this data. Data delivery, access, and egress are all synonyms of Data Provisioning and can be used in this context.
in Data Lake Development with Big Data. I'm looking for some standards in designing this module, including how to secure the data, how to to identify some data is the data from the system, etc. I have searched on Google but there is not many results related to that keyword. Can you provide me with some advice or your own experience related to this problem? Every answer is appreciated.
Thank you!
Data Provisioning is mainly done by creating different Data Marts for your downstream consumers. For example, if you have a BigData system with data coming from various sources aggregated into one Data lake, yo can create different Data marts, like 'Purchase', 'Sales', 'Inventory' etc and let the down stream consume these. So a downstream consumer who needs only 'Inventory' data needs to consume only the 'Inventory' data mart.
Your best bet is to search for 'Data Marts'. For example, ref: https://panoply.io/data-warehouse-guide/data-mart-vs-data-warehouse/
Now you can fine tune the security, access control all based on the data mart. for example,
'sales' data is accessible only for sales reporting systems, users, groups etc. Tokenize data in 'Purchase' data etc... All up to the business requirement.
Another way is to export the aggregate data via data export mechanisms. For example use 'Apache Sqoop' to offload data to an RDBMS. This is approach is advisable when the data to export is smaller enough to be exported for the downstream consumer.
Another way is to create separate 'Consumer Zones' in the same Data Lake, for exampele, be it a different Hadoop directory, or Hive DB.
- Constrain a Specman list so it doesn't have identical values in consecutive elements
- How to type cast a list of uint to a list of vr_ahb_data in Specman?
- Static fields/methods in e
- What is the difference between deep_copy and gen keeping in Specman?
- Specman UVM: What is the difference between write_reg { .field == 2;}; and write_reg_fields?
- Does Specman support optional parameters to a method?
- Specman e: When colon equal sign ":=" should be used?
- Specman e: Is there a way to know how many values there is in an enumerated type?
- Specman e error: No match for file when using "for each line in file"
- How to run e file one by one? Not in parallel test
- Specman/e constraint (for each in) iteration
- Specman e: How driver's items queue can be locked from a sequence?
- Specman e: How to print variable's address?
- Specman e: "keep type .. is a" fails to refine the type of a field
- Specman soft select on variable, decimal vs. hexadecimal values
- Specman e: How to print a pointer to a struct?
- Specman e: Is there a way to print unit instance name?
- Specman e: simultaneous events error
- Specman e coverage: ignored values appear in the coverage statistics
- Specman e: How a sequence should be started when gen_and_start_main constrained to FALSE?
- Specman/e list of lists (multidimensional array)
- Does Specman e have struct constructor?
- Specman e: How the predefined sequence.item should be used?
- Specman e: define-as-computed macro error
- Specman e UVM: Why to inherit from uvm_* units?
- Specman e: A sequence drives its BFM also its MAIN was not defined in a test
- e HVL (IEEE 1647): expect expression fails unexpectedly
- Specman e subtyping: How to refer to FALSE value of conditional field in when/extend subtyping?
- e HVL (IEEE 1647): How to set 'X' value?
- Difference between declaring an event that is sensitive to a simple_port value and event_port