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