Modern data analysis is moving beyond the Data Warehouse to the Data Lake where analysts are able to take advantage of emerging technologies to manage complex analytics on large data volumes and diverse data types. Yet, for some business problems, a Data Warehouse may still be the right solution.
If you’re on the fence, join this webinar as we compare and contrast Data Lakes and Data Warehouses, identifying situations where one approach may be better than the other and highlighting how the two can work together.
Get tips, takeaways and best practices about:
- The benefits and problems of a Data Warehouse
- How a Data Lake can solve the problems of a Data Warehouse
- Data Lake Architecture
- How Data Warehouses and Data Lakes can work together
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DI&A Slides: Data Lake vs. Data Warehouse
1. The First Step in Information Management
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February 2, 2017
Data Lake vs. Data Warehouse
18. Sample Architecture pg 18
Wrap-up – When in Doubt …
Business
Need
Operational Managerial Analysis Analytics
Business
Area
Business
Area
Business
Area
Reports
Reports
Ad hoc
BI
Alert s
Trends
Predictive
Analytics
Models
Metadata
Ingestion
Data
Lake
Data
Ware-
house
Sandbox
Landing
BI
Analytics
19. Sample Architecture
Ingestion
Data
Lake
Data
Ware-
house
Sandbox
Landing
BI
Analytics
pg 19
Wrap-up – When in Doubt …
Business
Need
Operational Managerial Analysis Analytics
Business
Area
Business
Area
Business
Area
Reports
Reports
Ad hoc
BI
Alert s
Trends
Predictive
Analytics
Models
Document the business needs,
drivers, metadata and actions
around data.
Analyze the characteristics,
patterns and classify if the lake
or warehouse or ??? supports
the need.
Metadata
Gather together the various
groupings of how you can
satisfy your data insights needs.
Craft your version of
the best fit “logical
Data Warehouse.”