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C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
C*ollege Credit: Keep the DB, Lose the A
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C*ollege Credit: Keep the DB, Lose the A

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Christos Kalantzis, Engineering Manager of Cloud Persistence Engineering at Netflix, will talk about his transition from a database administrator to a database engineer working with cutting edge big …

Christos Kalantzis, Engineering Manager of Cloud Persistence Engineering at Netflix, will talk about his transition from a database administrator to a database engineer working with cutting edge big data technology. He will provide expertise and insight into how he learned about new technologies and the use cases he now gets to work on.

Published in: Technology
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Transcript

  • 1. Keep the DB, lose the AHow DBA’s could shed the Admin title and become DB Engineers
  • 2. What’s Covered• Brief History of Databases• Skills DBAs (should) have today• What is a DB Engineer• Skills required to become a DB Engineer
  • 3. Brief History of Databases 1960s• First databases – Hierarchical model IMS • IBM used Sabre to help AA with their reservation system – Network model CODASYL
  • 4. 1970s• Thanks to EF Codd, Relational Databases model made its debut• Ingres - QUEL • Ingres, Sybase, MS SQL Server• System R – SEQUEL • Oracle, DB2• Entity relational models
  • 5. 1980s• Structured Query Language (SQL) became the standard query language• Introduction of personal computers saw the rise of dBase III, Watcom SQL, Paradox, etc… SELECT name FROM employees WHERE salary > 1000000
  • 6. 1990s• Internet pushed RDBMS to its limits – Databases no longer used for internal company applications We need I’m giving you all more power! she’s got, Captain!
  • 7. 2000s• Increased data demands have led to new data models and database implementations, OLTP and Analytical – Sharding RDBMS – NoSQL • MongoDB • Apache Cassandra • CouchDB • Etc. – Map Reduce • Hadoop
  • 8. Today’s DBA• Data Design ER Modeling – Third normal form – SQL Aren’t I something!• Database product expert – Oracle/SQL Server/DB2/MySQL• OS Administration – Unix/Linux – Windows• System Engineering – Hardware choice – SCSI/IDE/SATA/SAN/NAS/iSCSI/RAID/SSD• Scripting – BASH – Batch or PowerShell – Perl
  • 9. DB Engineer• More than a DBA• Not a Software Engineer (in a good way!) Hello there! Umm….hi
  • 10. DB Engineer skills• New Data design concepts – RDBMS Sharding – NoSQL – Distributed Databases
  • 11. DB Engineer skills, continued• New Database products – MongoDB – Apache Cassandra – HBASE• Running on commodity Hardware or Virtualization
  • 12. DB Engineer skills, last one...I swear!• Application Architecture – Availability – Scalability – Consistency (eventually)
  • 13. DB Engineer skills, I lied, this is the last one• Programming – .NET public class HelloWorld { public static void main(String[] args) { System.out.println("Hello, World"); – Java } } – Ruby, Rails – Python, Django – Groovy, Grails
  • 14. Q&A Thank youChristos Kalantzis@chriskalanEngineering Manager - Cloud PersistenceNetflix Inc.ckalantzis@netflix.comHiring!jobs.netflix.com

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