Redis for Data Science and Engineering by Dmitry Polyakovsky of Oracle
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This document contains a presentation about using Redis for data science and engineering. It introduces the presenter and provides an agenda that covers using Redis for data science and data engineering. The presentation notes that Redis can be used as both a data store and job queue, has flexible data structures and is fast, though it uses RAM and cannot query by value. It also lists Python Pandas and includes a demo and links for further information.
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Redis for Data Science and Engineering by Dmitry Polyakovsky of Oracle
- 1. PRESENTED BY Redis for Data Science / Engineering Dmitry Polyakovsky
- 2. PRESENTED BY • Dmitry Polyakovsky- @dmitrypol • Sr. Software Engineer, Oracle Cloud. Ideas are my own and not necessarily of my employer. • http://dmitrypol.github.io • These slides - http://bit.ly/36mQ8H2 • Code samples - https://github.com/dmitrypol/redis_data About me
- 4. PRESENTED BY • Cache • Background job queue • API throttling • Feature flags • ... Common Redis use-cases
- 5. PRESENTED BY
- 6. PRESENTED BY 1 Data Science 2 Data Engineering Agenda:
- 7. PRESENTED BY import pandas as pd df1 = pd.read_csv('file.csv') df2 = pd.read_json('http://.../something.json') df3 = pd.read_sql_query('select * from …', connection) df1.aggregate(...) Python Pandas
- 9. PRESENTED BY • Both data store and job queue • Flexible data structures • Speed Pros
- 10. PRESENTED BY • RAM usage • Cannot query by value Cons
- 11. PRESENTED BY • SQL DB • NoSQL DB • Large flat files • RabbitMQ / ActiveMQ / … Alternatives
- 12. PRESENTED BY • http://dmitrypol.github.io/categories.html#redis • https://twitter.com/dmitrypol • https://pandas.pydata.org/ • https://pypi.org/project/redis/ Links
- 14. Thank You!