Data Quality Round-trip in the MS Dataplatform

Explore a comprehensive data quality solution using Microsoft's Data Platform in this conference talk from PASS Summit 2019. Learn how to leverage Machine Learning Services, Common Data Model, Azure Data Factory, SQL Server 2019, and more to address data quality challenges. Discover the costs associated with poor data quality and understand the reasons behind it. Dive into the Data Quality Process and explore Microsoft's portfolio for data governance and ingestion. Gain insights into profiling techniques using Excel, Machine Learning SDK, Azure ML Data Prep, and Python. Examine fuzzy matching concepts and explore tools like Azure Data Cutter and Common Data Model to enhance your data quality initiatives.

Intro
About us
Bad data
Theory
Cost of Data Quality
Do things 100
Reasons for bad data
Data Quality Process
Data Platform Landscape
Governance Layer
Ingest Layer
Microsofts portfolio
DQS
Data Quality Matrix
Profiling
Profiling in Excel
Machine Learning SDK
Azure ML Data Prep
Python Profiling
FuzzyWuzzy
FuzzyGrouping
Console
Azure Data Cutter
Tags
Common Data Model