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© 2017 Delphix. All Rights Reserved. Private and Confidential.
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Kellyn Pot’Vin-Gorman | Technical Intelligence Manager | September, 2017
Farming Dinosaurs
And Avoiding Meteor Showers
© 2017 Delphix. All Rights Reserved. Private and Confidential.
2
Kellyn Pot’Vin-Gorman
Technical Intelligence Manager, Delphix
•  Multi-platform DBA, (Oracle, MSSQL, MySQL,
Sybase, Postgres…..)
•  Oracle ACE Director, (Alumni)
•  Oak Table Network
•  APEX Women in Technology Award, CTA 2014
•  STEM education with Raspberry Pi and Python
•  President, Rocky Mtn Oracle User Group
•  Liaison, Denver SQL Server User Group
•  Author, blogger, (http://dbakevlar.com)
© 2017 Delphix. All Rights Reserved. Private and Confidential.
© 2017 Delphix. All Rights Reserved. Private and Confidential.
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Technology is Changing
•  Some kind of autonomous database??
•  83% new cloud initiatives
•  When we look back in history and I don’t mean from a
recent standpoint, have we come in addressing it?
http://www.devx.com/enterprise/devops-drives-revenue-for-it-shops-ca-study.html
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Why Do You Think This Exists?
© 2017 Delphix. All Rights Reserved. Private and Confidential.
History Will Show us…
1837
1876
1919
1943
1966
1981
1995
2014
Today
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Data is Heavy
© 2017 Delphix. All Rights Reserved. Private and Confidential.
The Economics of Data
•  Data has cost- i.e., databases have a COST Based Optimizer
•  It has a cost in IO
•  Cost in Memory and Compute
•  Cost in Network
•  How far have we come in addressing those costs?
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Why the Economics of Data Is Important
•  Who is Jim Gray?
•  Why his papers on the Economics of Data are so
important
•  Open Source hardware that creates more productivity
with data for many scientists
https://jimgray.azurewebsites.net/
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Yet, We Go Back to von Neumann…
•  Born in Budapest
•  Child prodigy
•  Graduated with two degrees by 1927- Chemistry
and Mathematics
•  Great supporter of why we use binary digit as the
unit of compute memory.
•  And as our focus today, vonNeumann Architecture
and Bottleneck
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Von Neumann Architecture
•  Based off the work of John von Neumann in 1945.
•  Based on ALU, control unit, memory and I/O devices
•  Storage of numbers and a limited groups of integers.
•  Was a huge improvement on pure-plugboard computing popular at that
time.
•  Von Neumann literally is parallel processing vs. Harvard Architecture
•  Smart memory differs from von Neumann is that it often removes CPU
and focuses just on a ton of memory, with each memory cell supporting
FETCH/STORE and ALU operations.
https://www.computerscience.gcse.guru/theory/von-neumann-architecture
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Still In Use Today
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Von Neumann Bottleneck
•  Percentage of compute power vs. what is available in total.
•  Introduce parallel to compensate.
•  In turn, we then run into bottleneck of the width of the data bus.
•  We then can increase the I/O clock rate, but then the increase of
running signals across the circuit board begin to fail/error out.
•  The final end to this circle is that we need to upgrade the original
memory devices to move the bottleneck another step forward.
•  Only significant changes will change this bottleneck.
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Why Von Neumann’s is Important
CPU
 Memory
Von Neumann
Bottleneck
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Shannon’s Law
•  From Shannon-Hartley theorem.
•  Based on telephony technology back in late 1920’s
•  Maximum rate information can be transmitted over a
communications channel minus errors, (noise)
•  Very dependent upon channel capacity
•  Infiniband vs. traditional network communication
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Why Is Shannon’s Law Important
•  Network is the new bottleneck, even with so many new network
technologies.
•  Noise across the network, especially to the cloud is considerably
impactful to migration and hybrid environment success.
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Now, Why Data Matters
© 2017 Delphix. All Rights Reserved. Private and Confidential.
The 1854 Broad St. Cholera Outbreak
•  Cholera = black death
•  Soho area of London
•  Germ theory wasn’t confirmed until 1862 via Louis Pasteur
•  Poor sanitary conditions and huge influx of people
•  Over 14K people died between 1832-1849 in the area
•  Poor medical knowledge and no data research believed it was
transferred via air, (i.e. miasmata)
•  Research by John Snow, (not that John Snow…J)
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Pump
Brewery
Monastery 
Likes
Taste
https://www1.udel.edu/johnmack/frec682/cholera/
snow_map.png
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Failure of Taking Data Seriously
•  Everything pointed back to the water
pump where people got their water from.
•  For those children that died that didn’t live
where the water pump supplied water, they
went to schools that did.
•  None took him seriously, the science
wasn’t there.
https://www.pinterest.co.uk/explore/john-snow-cholera-map/?lp=true
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Finally…
…John was able to convince the
constable to let him take the handle off
the water pump.


The epidemic stopped.
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Data Can Save Lives
•  Although removing the handle from the pump
stopped the epidemic, no one believed Snow,
(fake news.)
•  Years later enhancements to the system were
placed in London
•  1883, Dr. Robert Koch researched and
discovered the bacteria that caused cholera.
•  19th century then ended the ongoing plague
epidemics common to European and US cities.
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Now Let’s Talk About Today
By 2020, 
•  1.7MB of data will be created for every person on the plant every
second.
•  We’ll also have 44ZB of data, vs. only 5.8ZB currently.
•  A 1/3 of all data will be in the cloud.
•  Big Data integrations could, COULD reduce overall costs by $1K a year
per person.
•  A common Fortune 1000 company, increasing access to data, could
benefit by $65 million in net income.
•  Retailers could increase operating margins by almost 60%.
Currently, less than .5% of data is analyzed and used.
© 2017 Delphix. All Rights Reserved. Private and Confidential.
So…
History has shown us:
•  The Economics of Data
•  Architecture
•  Compute Bottleneck
•  Network Law
•  How Data Can Save Us
•  We’ve come far with new releases and the cloud, but even with what
you hear this week…
© 2017 Delphix. All Rights Reserved. Private and Confidential.
© 2017 Delphix. All Rights Reserved. Private and Confidential.
Are We Still Farming
Dinosaurs?
Twitter: @DBAKevlar
Linkedin: Kellyn Pot’Vin-Gorman
Email: dbakevlar@gmail.com or kellyn@delphix.com

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Farming Dinosaurs

  • 1. © 2017 Delphix. All Rights Reserved. Private and Confidential. © 2017 Delphix. All Rights Reserved. Private and Confidential. Kellyn Pot’Vin-Gorman | Technical Intelligence Manager | September, 2017 Farming Dinosaurs And Avoiding Meteor Showers
  • 2. © 2017 Delphix. All Rights Reserved. Private and Confidential. 2 Kellyn Pot’Vin-Gorman Technical Intelligence Manager, Delphix •  Multi-platform DBA, (Oracle, MSSQL, MySQL, Sybase, Postgres…..) •  Oracle ACE Director, (Alumni) •  Oak Table Network •  APEX Women in Technology Award, CTA 2014 •  STEM education with Raspberry Pi and Python •  President, Rocky Mtn Oracle User Group •  Liaison, Denver SQL Server User Group •  Author, blogger, (http://dbakevlar.com)
  • 3. © 2017 Delphix. All Rights Reserved. Private and Confidential.
  • 4. © 2017 Delphix. All Rights Reserved. Private and Confidential.
  • 5. © 2017 Delphix. All Rights Reserved. Private and Confidential. Technology is Changing •  Some kind of autonomous database?? •  83% new cloud initiatives •  When we look back in history and I don’t mean from a recent standpoint, have we come in addressing it? http://www.devx.com/enterprise/devops-drives-revenue-for-it-shops-ca-study.html
  • 6. © 2017 Delphix. All Rights Reserved. Private and Confidential. Why Do You Think This Exists?
  • 7. © 2017 Delphix. All Rights Reserved. Private and Confidential. History Will Show us… 1837 1876 1919 1943 1966 1981 1995 2014 Today
  • 8. © 2017 Delphix. All Rights Reserved. Private and Confidential. Data is Heavy
  • 9. © 2017 Delphix. All Rights Reserved. Private and Confidential. The Economics of Data •  Data has cost- i.e., databases have a COST Based Optimizer •  It has a cost in IO •  Cost in Memory and Compute •  Cost in Network •  How far have we come in addressing those costs?
  • 10. © 2017 Delphix. All Rights Reserved. Private and Confidential. Why the Economics of Data Is Important •  Who is Jim Gray? •  Why his papers on the Economics of Data are so important •  Open Source hardware that creates more productivity with data for many scientists https://jimgray.azurewebsites.net/
  • 11. © 2017 Delphix. All Rights Reserved. Private and Confidential. Yet, We Go Back to von Neumann… •  Born in Budapest •  Child prodigy •  Graduated with two degrees by 1927- Chemistry and Mathematics •  Great supporter of why we use binary digit as the unit of compute memory. •  And as our focus today, vonNeumann Architecture and Bottleneck
  • 12. © 2017 Delphix. All Rights Reserved. Private and Confidential. Von Neumann Architecture •  Based off the work of John von Neumann in 1945. •  Based on ALU, control unit, memory and I/O devices •  Storage of numbers and a limited groups of integers. •  Was a huge improvement on pure-plugboard computing popular at that time. •  Von Neumann literally is parallel processing vs. Harvard Architecture •  Smart memory differs from von Neumann is that it often removes CPU and focuses just on a ton of memory, with each memory cell supporting FETCH/STORE and ALU operations. https://www.computerscience.gcse.guru/theory/von-neumann-architecture
  • 13. © 2017 Delphix. All Rights Reserved. Private and Confidential. Still In Use Today
  • 14. © 2017 Delphix. All Rights Reserved. Private and Confidential. Von Neumann Bottleneck •  Percentage of compute power vs. what is available in total. •  Introduce parallel to compensate. •  In turn, we then run into bottleneck of the width of the data bus. •  We then can increase the I/O clock rate, but then the increase of running signals across the circuit board begin to fail/error out. •  The final end to this circle is that we need to upgrade the original memory devices to move the bottleneck another step forward. •  Only significant changes will change this bottleneck.
  • 15. © 2017 Delphix. All Rights Reserved. Private and Confidential. Why Von Neumann’s is Important CPU Memory Von Neumann Bottleneck
  • 16. © 2017 Delphix. All Rights Reserved. Private and Confidential. Shannon’s Law •  From Shannon-Hartley theorem. •  Based on telephony technology back in late 1920’s •  Maximum rate information can be transmitted over a communications channel minus errors, (noise) •  Very dependent upon channel capacity •  Infiniband vs. traditional network communication
  • 17. © 2017 Delphix. All Rights Reserved. Private and Confidential. Why Is Shannon’s Law Important •  Network is the new bottleneck, even with so many new network technologies. •  Noise across the network, especially to the cloud is considerably impactful to migration and hybrid environment success.
  • 18. © 2017 Delphix. All Rights Reserved. Private and Confidential. Now, Why Data Matters
  • 19. © 2017 Delphix. All Rights Reserved. Private and Confidential. The 1854 Broad St. Cholera Outbreak •  Cholera = black death •  Soho area of London •  Germ theory wasn’t confirmed until 1862 via Louis Pasteur •  Poor sanitary conditions and huge influx of people •  Over 14K people died between 1832-1849 in the area •  Poor medical knowledge and no data research believed it was transferred via air, (i.e. miasmata) •  Research by John Snow, (not that John Snow…J)
  • 20. © 2017 Delphix. All Rights Reserved. Private and Confidential. Pump Brewery Monastery Likes Taste https://www1.udel.edu/johnmack/frec682/cholera/ snow_map.png
  • 21. © 2017 Delphix. All Rights Reserved. Private and Confidential. Failure of Taking Data Seriously •  Everything pointed back to the water pump where people got their water from. •  For those children that died that didn’t live where the water pump supplied water, they went to schools that did. •  None took him seriously, the science wasn’t there. https://www.pinterest.co.uk/explore/john-snow-cholera-map/?lp=true
  • 22. © 2017 Delphix. All Rights Reserved. Private and Confidential. Finally… …John was able to convince the constable to let him take the handle off the water pump. The epidemic stopped.
  • 23. © 2017 Delphix. All Rights Reserved. Private and Confidential. Data Can Save Lives •  Although removing the handle from the pump stopped the epidemic, no one believed Snow, (fake news.) •  Years later enhancements to the system were placed in London •  1883, Dr. Robert Koch researched and discovered the bacteria that caused cholera. •  19th century then ended the ongoing plague epidemics common to European and US cities.
  • 24. © 2017 Delphix. All Rights Reserved. Private and Confidential. Now Let’s Talk About Today By 2020, •  1.7MB of data will be created for every person on the plant every second. •  We’ll also have 44ZB of data, vs. only 5.8ZB currently. •  A 1/3 of all data will be in the cloud. •  Big Data integrations could, COULD reduce overall costs by $1K a year per person. •  A common Fortune 1000 company, increasing access to data, could benefit by $65 million in net income. •  Retailers could increase operating margins by almost 60%. Currently, less than .5% of data is analyzed and used.
  • 25. © 2017 Delphix. All Rights Reserved. Private and Confidential. So… History has shown us: •  The Economics of Data •  Architecture •  Compute Bottleneck •  Network Law •  How Data Can Save Us •  We’ve come far with new releases and the cloud, but even with what you hear this week…
  • 26. © 2017 Delphix. All Rights Reserved. Private and Confidential. © 2017 Delphix. All Rights Reserved. Private and Confidential. Are We Still Farming Dinosaurs? Twitter: @DBAKevlar Linkedin: Kellyn Pot’Vin-Gorman Email: dbakevlar@gmail.com or kellyn@delphix.com