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Data Warehouse ETL Framework

EDW Catapult Users Guide Data Warehouse ETL Framework Real Time Analytics Defined Docs Why Do You Need An ETL Framework?Data as a Competitive Necessity The Benefits Of Using Python And SQL

Introduction To The ETL Framework
Framework Overview
General Principles
DataOps For The Uninitiated
ETL Developer's Field Guide
ETL Environment Set Up
Standard SSIS ETL Development Package
Sample Script Guide
A Methodology To Rapidly Convert OLTP Databases to OLAP Solutions
Data Model Creation Tool
Performance Monitoring
Data Warehouse Troubleshooting Guide
- Generalized Troubleshooting Steps
Business Analytics Capability Maturity Model
Appendices
- Appendix A. What is Medium Data®?
- Appendix B. The Benefits Of Using Python And T-SQL Over SSIS For ETL

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Using The Built-In Views

There are five views that you can use to help monitor the load.

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View Name

Description

RowCountLog

A simple log of the amount of records that get processed in each load.

ShowAdverseTableLoads

Show tables with anomalous data loads.

SSISErrorLogByPackage

SSIS Errors By Package

SSISPackageBatchRunTime

SSIS Run times by batch.

SSISPackageRunTime

See a log of package run times.