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Data Warehousing Uses A Top-Down Approach
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Classroom Contents
Big Data Architectures and The Data Lake - Cloud
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- 1 Intro
- 2 Upcoming Sessions
- 3 NEW* PASS Summit All Access
- 4 Enterprise data warehouse augmentation
- 5 Data hub plus EDW
- 6 All-in-one
- 7 Traditional business analytics process
- 8 Need to collect any data Hamess the growing and changing nature of data
- 9 The three V's
- 10 New big data thinking: All data has value
- 11 Two Approaches to getting value out of data: Top-Down + Bottoms-Up
- 12 Data Warehousing Uses A Top-Down Approach
- 13 The data lake' Uses A Bottoms-Up Approach
- 14 Exactly what is a data lake?
- 15 Traditional Approaches Current state of a data warehouse
- 16 Data Analysis Paradigm Shift
- 17 What is Hadoop?
- 18 Hortonworks Data Platform (HDP) 3.0
- 19 The real cost of Hadoop
- 20 Modem Data Warehouse
- 21 Data Lake with DW use cases Data Lake Staging & preparation
- 22 HUB & SPOKE ARCHITECTURE FOR BI
- 23 Federated Querying
- 24 Benefits of the cloud
- 25 Talking points when using the cloud for DW
- 26 DW SCALABILITY SPIDER CHART
- 27 Summary
