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Data Engineering
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Classroom Contents
The Data Janitor Returns
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- 1 Introduction
- 2 Challenges in the industry
- 3 Feedback
- 4 Hard curve over
- 5 Building the pyramid
- 6 Making programmatic KPI definitions
- 7 Google Analytics
- 8 Tableau
- 9 Project Adventures
- 10 The Pyramid
- 11 AV Testing
- 12 Funding
- 13 Leftovers
- 14 Machine Learning
- 15 Reality
- 16 One constructive approach
- 17 Data DevOps
- 18 Compression
- 19 Imagenet
- 20 A Cigar
- 21 Park
- 22 Data Engineering
- 23 Open Roots
- 24 Our original sin
- 25 The problem with distributed computing
- 26 Any advice
- 27 What makes a data engineer
- 28 Cloud agnostic advice
- 29 Better quality code
- 30 Transit
- 31 Hadoop
- 32 Showdown
- 33 Spark
- 34 Presto
- 35 Redshift vs Presto
- 36 Clickhouse
- 37 Google
- 38 Open Source
- 39 The Shepherd
- 40 The Bird of Prey
- 41 Making a decision
- 42 Finding data engineers
- 43 Marketing and data integration
- 44 Y2K
- 45 Outro
