Big Data Day LA 2016/ Data Science Track - Backstage to a Data Driven Culture: Your Data Science and Analytics Stack, Pauline Chow, Lead Data Instructor - General Assembly
When you're the first data professional at the organization there are technical, process, and qualitative considerations for analytics and data science to address (A/DS). This talk is an overview of strategy, infrastructure, and tools for creating your first A/DS stacks. At this stage, the range of problems that you are able to solve relate to organization, operational, data engineering, business intelligence, and communication. Creating the optimal A/DS stack can seamlessly pave the way to big data and integrating the newest technologies in the future. Please share your stories and experience with us as well. Outline of talk, where sections intend to be interactive and get feedback from the audience:
1. So you're the first Data Scientist
2. Setting Their Expectations
3. Lay of the Land - Data requirements and organizational survey
4. Setting Your Expectations
5. Infrastructure - Your Stack Options
6. Resources: Get Help, Get a Team
7. Discussion
Application of Data Science in Government Services – IPMA Forum 2016 Speaker ...
Ähnlich wie Big Data Day LA 2016/ Data Science Track - Backstage to a Data Driven Culture: Your Data Science and Analytics Stack, Pauline Chow, Lead Data Instructor - General Assembly
Ähnlich wie Big Data Day LA 2016/ Data Science Track - Backstage to a Data Driven Culture: Your Data Science and Analytics Stack, Pauline Chow, Lead Data Instructor - General Assembly (20)
Big Data Day LA 2016/ Data Science Track - Backstage to a Data Driven Culture: Your Data Science and Analytics Stack, Pauline Chow, Lead Data Instructor - General Assembly
1. Backstage to Data Driven
Culture
Your Data Science and Analytics
Stack (DS/A)
Big Data LA Day 2016
4. "Leadership is the art of giving people a
platform for spreading ideas that work."
-Seth Godin
4
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Pauline Chow
5
Data Science Consultant
Lead Instructor at General Assembly
6. Listen
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Implement
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Learn
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Collaborate
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Strategize
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“First” Data Scientist Guiding Points
Objectives for Your First Year
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7. Implement High
Priority Goals
and Task
Listen &
Influence
Expectations
Maximize
Impact and
Communication
Create blueprint for
scaling from one (1) data
scientist to a team or set
of strong tools
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Objectives for Presentation & Discussion
After Today You’ll be Able to
Create
Blueprints
for Scaling
8. WORLDWIDE BUSINESS BUSINESS TO GO CREATIVE SOLUTIONS
WORLDWIDE BUSINESS BUSINESS TO GO CREATIVE SOLUTIONS
What my Friends Think I Do What my Mom Thinks I Do What Society Thinks I Do
What my Boss Think I Do What I Think I Do What I Actually Do
Misconceptions about Data Scientists
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9. 01
03 04
02
Data Engineer / B.I. Developer
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Product Manager
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Data Analyst / Researcher
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Data Scientist
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You will likely carry some of the following
responsibilities
Your Many Hats
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Tree Infographic
Listen
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Puzzle Infographic
Puzzle Infographic
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Construction & Design
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Review The Results
Business Plan Infographic
Quantitative & Qualitative Milestones
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Pen Infographic
Case Study
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18. 2006
2008
2010
2012
2014
STATISTICS
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Timeline Infographic
Timeline Infographic
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100% 50% 75% 25%
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Time Infographic
Time Infographic
22. ONE PERSON STACK WITH
SAAS TOOLS
BigQuery Storage
BigQuery
Workflows
Big Query
Hadoop MapReduce
Workflows
Compute
Engine
Big Query
• Ad hoc analysis
• Visualizations
• Applications
Server
Logging
Cloud
Storage
24. 06
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Our Strategy
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Integrated Infographic
Summary of Guiding Points
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