Chapters 
 Transcript 
 Episode notes 
 1  2  3  4  5  6  7  8  9  10  11  12  13  14  15  16  17  18  19  20  21  22 
 Introduction 
 00:00 • 2min 
 Data Engineering Podcast - Data Engineers Interview 
 01:46 • 2min 
 What Is Data Observability? 
 03:29 • 3min 
 Observability and Data Quality 
 06:29 • 2min 
 Do You Monitor the Causes or Do You Observe the Symptoms? 
 08:20 • 2min 
 Data Warehouse Integration - How Do You Think About Network Effects? 
 10:19 • 2min 
 How Do You Analyze the Seasonality of Your Data? 
 12:03 • 2min 
 What Are the People Who Get the Most Alue Out of Metoplane? 
 14:03 • 2min 
 Is There a Dashboard for Lineage Information in the B I System? 
 16:02 • 2min 
 Data Quality Focused Tools and Endorse 
 17:40 • 2min 
 Observability - What Are Some Useful Analogies for Data Dog Integration? 
 19:57 • 2min 
 Slash High Touch for Reverse ETL to Day 
 22:15 • 4min 
 Building Meadow Plan - The Element of Customary Education 
 26:02 • 2min 
 How Can You Connect Your Snowflake With Metoplane? 
 28:08 • 3min 
 Using Time Series Analysis in the Data Warehouse Setting? 
 30:56 • 2min 
 Observability Is a New Category 
 33:22 • 2min 
 Is Metoplane a Neural Network? 
 35:35 • 2min 
 Data Observability 
 37:14 • 4min 
 Observability - What Are Some of the Lessons You've Learned? 
 40:44 • 2min 
 Observability Is Just a Technology 
 43:11 • 3min 
 What's the Biggest Gap in Data Management? 
 45:50 • 2min 
 Data Observability 
 47:54 • 3min 


