[type][subject][name]
- where type is 'dim' or 'fact' (or 'facts' for aggregates)
- where subject is the subject area within the warehouse ('comm' for common, 'fw' for firewall, 'ids', etc)
- where name is ideally a single word name, or abbreviations of dimensions in the case of an aggregate table
- ex:
dim_comm_org
for the organizational dimension - ex:
fact_scan
for the scan fact table - ex:
facts_scan_org_sev_daily
- fact scan summary table grouped at the org, sev & day level
don't prefix with the entire table name - that's way too long
do prefix with just a meaningful part of it - this helps tremendously when writing or reading queries.
Type | Linked Service | Name | Linked Service | Dataset | Full |
---|---|---|---|---|---|
Databases | SQL Server* | MSQL_ | LS_MSQL_ | DS_MSQL_ | LS_SQL_Example |
Oracle* | ORAC_ | LS_ORAC_ | DS_ORAC_ | LS_ORAC_Example | |
MySQL* | MYSQ_ | LS_MYSQ_ | DS_MYSQ_ | LS_MYSQ_Example | |
DB2* | DB2_ | LS_DB2_ | DS_DB2_ | LS_DB2_Example | |
Teradata* | TDAT_ | LS_TDAT_ | DS_TDAT_ | LS_TDAT_Example | |
PostgreSQL* | PG_ | LS_PG_ | DS_PG_ | LS_PG_Example | |
Sybase* | SYBA_ | LS_SYBA_ | DS_SYBA_ | LS_SYBA_Example | |
Cassandra* | CASS_ | LS_CASS_ | DS_CASS_ | LS_CASS_Example | |
MongoDB* | MONG_ | LS_MONG_ | DS_MONG_ | LS_MONG_Example | |
Amazon Redshift | AMRED_ | LS_AMRED_ | DS_AMRED_ | LS_AMRED_Example | |
File | File System* | FILE_ | LS_FILE_ | DS_FILE_ | LS_FILE_Example |
HDFS* | HDFS_ | LS_HDFS_ | DS_HDFS_ | LS_HDFS_Example | |
Amazon S3 | AMS3_ | LS_AMS3_ | DS_AMS3_ | LS_AMS3_Example | |
FTP | FTP_ | LS_FTP_ | DS_FTP_ | LS_FTP_Example | |
Services | Finale | FNLE_ | LS_FNLE_ | DS_FNLE_ | LS_FNLE_Example |
Airtable | AIRT_ | LS_AIRT_ | DS_AIRT_ | LS_AIRT_Example | |
Klaviyo | AIRT_ | LS_AIRT_ | DS_AIRT_ | LS_AIRT_Example | |
Northbeam | NBM_ | LS_NBM_ | DS_NBM_ | LS_NBM_Example | |
ShipStation | AIRT_ | LS_AIRT_ | DS_AIRT_ | LS_AIRT_Example | |
SOS Inventory | SOS_ | LS_SOS_ | DS_SOS_ | LS_SOS_Example | |
EasyPost | AIRT_ | LS_AIRT_ | DS_AIRT_ | LS_AIRT_Example | |
ZenDesk | ZEN_ | LS_AIRT_ | DS_AIRT_ | LS_AIRT_Example | |
Andlor | ANDL_ | LS_ANDL_ | DS_ANDL_ | LS_ANDL_Example | |
Storage Made Easy | SME_ | LS_SME_ | DS_SME_ | LS_SME_Example | |
Google Big Table | GBT_ | LS_GBT_ | DS_GBT_ | LS_GBT_Example | |
Google Tag Manager | GTM_ | LS_GTM_ | DS_GTM_ | LS_GTM_Example | |
Google Analytics | GA_ | LS_GA_ | DS_GA_ | LS_GA_Example | |
Google Sheets | GSHT_ | LS_GSHT_ | DS_GSHT_ | LS_GSHT_Example | |
Google Docs | GDOC_ | LS_GDOC_ | DS_ GDOC_ | LS_ GDOC_Example | |
Azure | Azure Blob storage | AZBLB_ | LS_AZBLB_ | DS_AZBLB_ | LS_AZBLB_Example |
Azure Data Lake Store | AZDLS_ | LS_AZDLS_ | DS_AZDLS_ | LS_AZDLS_Example | |
Azure SQL Database | AZSQL_ | LS_AZSQL_ | DS_AZSQL_ | LS_AZSQL_Example | |
Azure SQL Data Warehouse | AZSDW_ | LS_AZSDW_ | DS_AZSDW_ | LS_AZSDW_Example | |
Azure Table storage | AZTBL_ | LS_AZTBL_ | DS_AZTBL_ | LS_AZTBL_Example | |
Azure DocumentDB | AZDOC_ | LS_AZDOC_ | DS_AZDOC_ | LS_AZDOC_Example | |
Azure Search Index | AZSER_ | LS_AZSER_ | DS_AZSER_ | LS_AZSER_Example | |
Others | Salesforce | SAFC_ | LS_SAFC_ | DS_SAFC_ | LS_SAFC_Example |
Generic ODBC* | ODBC_ | LS_ODBC_ | DS_ODBC_ | LS_ODBC_Example | |
Generic OData | ODAT_ | LS_ODAT_ | DS_ODAT_ | LS_ODAT_Example | |
Web Table (table from HTML) | WEBT_ | LS_WEBT_ | DS_WEBT_ | LS_WEBT_Example | |
GE Historian* | GEHI_ | LS_GEHI_ | DS_GEHI_ | LS_GEHI_Example |
Type | Name | Action | Example |
---|---|---|---|
Data movement Activity | PL_DATA_ | NA | PL_DATA_DS_SQL_Person_To_DS_ABLB_Person |
Data transformation pipeline | PL_TRAN_ | SPRC – Stored Procedure | PL_TRAN_SPRC_CleanDimAccount |
PL_TRAN_ | DNET – Script | PL_TRAN_DNET_AggregateSales | |
PL_TRAN_ | ADLK – Azure Data Lake | PL_TRAN_ADLK_AggregateSales | |
PL_TRAN_ | HIVE – Hive | PL_TRAN_HIVE_AggregateSales | |
PL_TRAN_ | PIG – Pig | PL_TRAN_PIG_AggregateSales | |
PL_TRAN_ | MAPR – MapReduce | PL_TRAN_MAPR_AggregateSales | |
PL_TRAN_ | HADP – Hadoop Stream | PL_TRAN_HADP_StreamData | |
PL_TRAN_ | AML – Azure Machine Learning | PL_TRAN_AML_CalculateMonthlyChurn | |
Data Segementation | PL_SEG_ | OPS manual ops classification | PL_SEG_CLAS_UserFirstPurchaseBehavior |
Model Training | PL_MTRAIN_ | SUP supervised training | PL_MTRAIN_SUP_UserFirstPurchaseBehavior |
Model Training | PL_MTRAIN_ | UNSUP unsupervised training | PL_MTRAIN_UNSUP_UserFirstPurchaseBehavior |
Model Training | PL_MTRAIN_ | SEMISUP semi-supervised training | PL_MTRAIN_SEMISUP_UserFirstPurchaseBehavior |
Model Training | PL_MTRAIN_ | REIF reinforcement training | PL_MTRAIN_REIF_UserFirstPurchaseBehavior |
Model Evaluation | PL_MEVAL_ | OPS human model eval | PL_MEVAL_OPS_UserFirstPurchaseBehavior |
Model Evaluation | PL_MEVAL_ | REPLAY model eval with data | PL_MEVAL_AML_UserFirstPurchaseBehavior |
Model Deployment | PL_MODL_ | depoyed model name | PL_MODL_UserFirstPurchaseBehavior |
Model Performance | PL_MPERF_ | model perf metrics | PL_MPERF_UserFirstPurchaseBehavior |