Dallas Data Brewery - introduction
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The document discusses a data brewery meetup in Dallas for increasing business data awareness and literacy. It provides an overview of the data pipeline process including data sources, extraction, transformation, modeling, and decisioning. The meetup agenda is outlined which includes aligning understanding, sharing stories and use cases, discussion, and networking. The overall goals are to get feedback, answers, make connections, and share knowledge.
Dallas Data Brewery - introduction
- 5. Introduction
- 6. increase business data awareness and literacy
- 7. technology
- 10. Decisioning Governance Presentation, Exploration and Publishing Analytical ModelingCleansing, Transformation and IntegrationExtractionDiscovery and Acquisition Data Sources Mapping Audit Crowd Sourcing Crawling Manual Digitization web pages text documents structured documents databases scienti鍖c data Bulk Digitization Scraping Parsing Loading to Data Store Automation Data Pipes ETL Process Management Data Quality Management Auditability and Provenance Reference Data Management Metadata Visualization Method Selection Visualization and Plotting Report Development Publishing Online Map Geo-TaggingStory Telling Natural Language Processing Merging, Joining Handling Manual Corrections Using Reference Data Normalization Entity Uniqueness Treating Duplicates Indexing and Optimization Data Formats and Standards Changing Dimensions Analytical Model Development Graph/Network Metrics Online Analytical Processing Business Rules Regression Outliers Segmentation and Clustering Simulation Shopping Basket Analysis Customer Value Computation Campaign Management Automated Decisioning Data Granularity Behavior and Impact pipeline
- 11. appropriate tools for appropriate purpose
- 12. Story Telling, Learning & Connecting
- 13. data brewery ?
- 14. Goals get feedback for your project get questions answered share story successful or not get connected ?
- 16. Knowledge Sharing Library Library Library ? bb b
- 17. Meetup Agenda Alignment of understanding terminology, scope, out-of-scope, required knowledge, Stories and use cases presentation, preferably visual Discussion Networking
- 18. Google Doc
- 20. Introduction Who are you? What are you doing with data?
- 21. Todays topic...
- 22. Thank You stefan@freshdata.sk 鐃 Stiivi www.meetup.com/dallas-data-brewery