ETL Antipattern: Skipping The Documentation
Documentation is an asset that is both loathed and loved. Creating technical and business documentation is often looked upon as a tedious chore, something that really ought to be...
2020-12-20
11 reads
Tim Mitchell
- Interests: SQL Server, Data Warehousing, ETL, Data Architecture, Python, Dbt
- Website: https://www.TimMitchell.net
- Bluesky: tmitch.net
ETL Antipattern: Skipping The Documentation
Documentation is an asset that is both loathed and loved. Creating technical and business documentation is often looked upon as a tedious chore, something that really ought to be...
2020-12-20
3 reads
ETL Antipattern: Load Processes that Don’t Scale
One of the most significant design considerations in ETL process development is the volume of data to be processed. Most ETL processes have time constraints that require them to...
2020-12-19
256 reads
ETL Antipattern: Load Processes that Don’t Scale
One of the most significant design considerations in ETL process development is the volume of data to be processed. Most ETL processes have time constraints that require them to...
2020-12-19
2 reads
ETL Antipattern: Failure to Test and Validate
“If it compiles, it works.” – An unemployed developer Building ETL processes is quite easy. Building ETL processes that deliver accurate results as quickly as possible is substantially more...
2020-12-18
10 reads
ETL Antipattern: Failure to Test and Validate
“If it compiles, it works.” – An unemployed developer Building ETL processes is quite easy. Building ETL processes that deliver accurate results as quickly as possible is substantially more...
2020-12-18
3 reads
ETL Antipattern: Failing to Treat ETL Logic as Source Code
In most data projects, building the extract-transform-load (ETL) logic takes a significant amount of time. Enterprise ETL processes must do several things well: retrieve enough data to satisfy the...
2020-12-17
14 reads
ETL Antipattern: Failing to Treat ETL Logic as Source Code
In most data projects, building the extract-transform-load (ETL) logic takes a significant amount of time. Enterprise ETL processes must do several things well: retrieve enough data to satisfy the...
2020-12-17
6 reads
ETL Antipattern: No Error Handling Logic
I usually avoid talking about technology in absolutes, but here’s one that I can share without reservation: On a long enough timeline, every single ETL process will eventually fail....
2020-12-16
8 reads
ETL Antipattern: Lazy Metadata
If data is a train, then metadata is the track on which it travels. A good metadata definition in ETL processes will help to ensure that the flow of...
2020-12-15
12 reads
Blogs
Automated SQL Server Benchmarking with HammerDB and Docker: A Complete Testing Framework
I’m excited to announce the release of a new open-source project that fully automates...
Automated SQL Server Benchmarking with HammerDB and Docker: A Complete Testing Framework
I’m excited to announce the release of a new open-source project that fully automates...
Advice I Like: Praise
By Steve Jones
Don’t reserve your kindest praise for a person until their eulogy. Tell them while...
Forums
Change Tracking Data Retention Options
Comments posted to this topic are about the item Change Tracking Data Retention Options
Requiring Technical Debt Payments
Comments posted to this topic are about the item Requiring Technical Debt Payments
Using the FP-Growth Algorithm to Mine Useful Patterns in Data
Comments posted to this topic are about the item Using the FP-Growth Algorithm to...
Question of the Day
Change Tracking Data Retention Options
If I am running this code:
ALTER DATABASE AdventureWorks2017 SET CHANGE_TRACKING = ON (CHANGE_RETENTION=4 xxx);What are the possible choices for xxx? See possible answers