Lightning Talks
summary
Ten five‑to‑seven minute demos show concrete tools and outcomes not vague topics. Look for IPython SQL + pandas workflow that runs SQL via SQLAlchemy, assigns results into Python and plots with matplotlib; a measured Json benchmark with a million rows that shows a ~4× speedup using expression indexes; a blackhole FDW skeleton on Bitbucket that compiles and logs but stores nothing; PGX package + repository for publishing/installing extensions; config‑management cookbooks and small ops scripts that are used and tested in production.
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chapters (11)
- 0:00Lightning Talks welcome
- 0:52IPython as SQL client
- 8:19NoSQL trade-offs
- 13:28Publishing PostgreSQL extensions
- 18:15Chef and Puppet server config
- 24:23PostgreSQL JSON and user groups
- 29:26Black Hole FDW intro
- 32:54Choosing the right database
- 36:26PostgreSQL community tools
- 44:55Managing PostgreSQL with PEM
- 50:52Closing remarks








