The key differences between Python 2.7.x and Python 3.x with examples
by sebastian raschka
Python 2 vs Python 3: Key Differences
Important differences between Python 2.x and Python 3.x with examples - GeeksforGeeks
Python 2.7 Countdown clock
What’s New In Python 3.0 — Python 3.8.0 documentation
Monday, October 21, 2019
The future of databases, by Dr. Michael Stonebraker
Very opinionated and eloquent overview of history and future of database systems
by one of its major creators and contributors.
Creator of 9 database companies / products, including Postgres.
Winner of Turing Award, the highest recognition in Computer Science.
In a nutshell: while higher level languages, including SQL are here to stay,
current architecture of database systems is not optimal match for current technology and needs,
and is being replaced by "NewSQL" There are three major domains of database systems:
* Data Warehousing: best served by "columnar storage" engines.
* Transaction data systems: best served by "in memory" engines.
* Non-relational systems (document, graph, array db systems, etc)
Michael Stonebraker | CSAIL Alliances (@MIT)
Michael Stonebraker - Wikipedia
Dr. Michael Stonebraker: A Short History of Database Systems - The New Stack
podcast interviews:
Michael Stonebraker 2014 ACM A.M. Turing Award Lecture - YouTube
quote: Big Data is about 3V-s: Volume, Velocity and Variety
"Big money" can buy big volume and big velocity.
For big variety need some smart solutions.
Tamr Agile Data Unification and Management Systems - Tamr Inc.
Six steps to start-up success from serial entrepreneur Mike Stonebraker | MIT CSAIL
by one of its major creators and contributors.
Creator of 9 database companies / products, including Postgres.
Winner of Turing Award, the highest recognition in Computer Science.
In a nutshell: while higher level languages, including SQL are here to stay,
current architecture of database systems is not optimal match for current technology and needs,
and is being replaced by "NewSQL" There are three major domains of database systems:
* Data Warehousing: best served by "columnar storage" engines.
* Transaction data systems: best served by "in memory" engines.
* Non-relational systems (document, graph, array db systems, etc)
Michael Stonebraker | CSAIL Alliances (@MIT)
Michael Stonebraker - Wikipedia
Dr. Michael Stonebraker: A Short History of Database Systems - The New Stack
podcast interviews:
- Episode 199: Michael Stonebraker on Current Developments in Databases : Software Engineering Radio (IEEE)
- Michael Stonebraker page at MIT
- VoltDB site
- VoltDB - Wikipedia
- NewSQL topic page on Wikipedia
- Other NewSQL projects: NuoDB
- SE-Radio #165 on NoSQL
- Dr. @MikeStonebraker on his journey to evolution of data ops and winning #Turing Award | Listen Notes
- Dr. @MikeStonebraker on the future of #DataOps and #AI | Listen Notes
Michael Stonebraker 2014 ACM A.M. Turing Award Lecture - YouTube
quote: Big Data is about 3V-s: Volume, Velocity and Variety
"Big money" can buy big volume and big velocity.
For big variety need some smart solutions.
Tamr Agile Data Unification and Management Systems - Tamr Inc.
Six steps to start-up success from serial entrepreneur Mike Stonebraker | MIT CSAIL
- Have a good idea
- Assemble a small team and build a prototype
- Find a business partner
- Find your customers
- Pitch the VCs
- Negotiate a deal
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