Data Democracy: Hadoop + Redshift
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The document outlines a presentation on driving data democracy using Hadoop and Amazon Redshift, featuring a Q&A session at the end. Key topics include data sources, challenges, and making data engineering more accessible to users with varying skill levels. The speakers include data professionals from Knewton and Looker, and attendees will receive a recording and slides afterward.
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Data Democracy: Hadoop + Redshift
- 1. 1 Driving Data Democracy: Hadoop & Amazon Redshift
- 2. Housekeeping • We will do Q&A at the end. • You should see a box on the right side of your screen. • There is a button marked “Q&A” on the bottom menu. • We will be recording this • We will send you the recording tomorrow. • We will also send you the slides tomorrow. RecordingQ&A
- 3. Rex Gibson Manager of Data Engineering Knewton Rich Taylor Platform Marketing Looker Scott Hoover Data Scientist Looker Meet the Speakers
- 4. 4 TransitionCan you introduce yourself and your company?
- 5. 5 TransitionWhat is your data infrastructure?
- 6. APIs App Usage Data Looker Data Infrastructure
- 7. Let’s talk data sources and challenges
- 8. 8 TransitionHow can data engineering be more accessible?
- 9. 9 TransitionWho consumes data and how?
- 10. 10 TransitionHow to handle users of different skill level?
- 11. 11 TransitionHadoop or MPP or both?
- 12. Q&A
- 13. THANK YOU!