1. DBA Impacting Trends

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Housekeeping
Rob Mandeville
Data professional for 20+ years
Roles: Production DBA, development DBA, data architect, design/modeling, tuning, sales, support, marketing
Industries: Software, Aerospace, Government, Fortune 5
Format
Hoping less lecture, more discussion
Controversial topic, these are my views
Review evidence
Discuss future of DBAs
© 2017 SolarWinds Worldwide, LLC. All rights reserved.

3. © 2017 SolarWinds Worldwide, LLC. All rights reserved.
DBA Tasks
What we do:
Installs, configs, upgrades, migration
Backup and recovery
Security/Access control
Storage/capacity planning
Performance monitoring/tuning
Troubleshooting issues
Documentation
HA/DR
Optimize config for workloads
Data modeling/design
ETL
BI/Data Science
Busy!
© 2017 SolarWinds Worldwide, LLC. All rights reserved.

4. Why do these trends matter?
Data Growth
Analysis Paralysis
Grow to 180 zettabyes
By 2025 (grow 67x)
Estimated 2.7 zettabyes
1 zettabyte = 10,000,000,000,000,000,000,000 bytes (22 0’s)
© 2017 SolarWinds Worldwide, LLC. All rights reserved.

5. Gartner ODBMS 2017 Magic Quadrant
Lots of categories now!
Data isn’t as simple as it once was.
Operational Database Management Systems
Database Science Platforms
Data Integration
Data Warehouse BI
Data Management Solutions for Analytics
Data Quality Tools
Enterprise Data Loss Prevention
Master Data Management Solutions
Business Intelligence and Analytics Platforms
More…
© 2017 SolarWinds Worldwide, LLC. All rights reserved.

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Big Trends
Cloud
Analytics
Science
Which will kill the DBA? AI ML
Autonomy
Data Agnosticism
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7. © 2017 SolarWinds Worldwide, LLC. All rights reserved.
Big Trends
Cloud AI ML
Autonomy
Analytics
Science
Data Agnosticism
© 2017 SolarWinds Worldwide, LLC. All rights reserved.

8. Autonomous Cars – follow the $$
Top Investment Picks:
Google (Alphabet) Waymo
Blackberry – think security
Qualcomm
Nvidia
Intel
Tesla
Uber/Lyft – not!
Why?
We’re slow
We err
We are bad predictors
We’re expensive
We want to Snapchat!
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Title
What is your assessment of automated driving vehicles?
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Autonomous Databases
Self-driving: constantly adapting and tuning based on machine learning. Auto patching, updating, maintaining
Self-scaling: Online resizing for compute, storage – lower admin costs
Self-repairing: Auto failover, HA, fault tolerance
All tuned for different workloads
Transactional
Data Warehouse
Mixed
Graph analytics
Departmental apps
Document stores
IoT
Benefits:
Simplicity
Performance
Elasticity
COST!
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11. Thank you Sponsors

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