Transcript Future of the DBA – GeekSync

The Future of
The DBA
DevOps, the Cloud Paradigm, & the Microsoft
Data Platform
Stuart R Ainsworth
http://codegumbo.com
Agenda
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Describe the typical state of database administration
Define & describe DevOps and the cloud computing
paradigm
Explore (high-level) the Microsoft Data Platform
Discuss the implications for data professionals
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Assumptions About You
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SQL Server experience
Exposure to database admin & architecture
Learning-centered
Desire to build modern skills
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About Me
Manage IT for financial services company
Former Data Architect, DBA, developer
AtlantaMDF Chapter Leader
Infrequent blogger: http://codegumbo.com
My
career
trajectory
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You have brains in your head
And SQL Skills to boot
You'll soar to great heights
On the Data Platform too
You're on your own,
And you know what you know,
And YOU are the one
who'll decide where to go.
http://bit.ly/2j8Wi5z
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Where Are We?
Typical SQL Server Person
Typical SQL Server Person
• Specialized knowledge
• May have exposure to other infrastructure or
development tools
• Usually reports to Operations (not Development)
• Often one of the “last stops” in deployment chain
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Typical SQL Server Person
Development
Skills
SQL (DDL & DML)
Performance Tuning
(Code)
Index Analysis
Data Warehousing
Reporting
Administration
Skills
Server Configuration
Performance Tuning
(Server)
Index Maintenance
Backups and Restores
Security
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MCSA SQL 2012\2014
• 70-461: Querying Microsoft SQL Server 2012/2014
• 70-462: Administering Microsoft SQL Server 2012/2014
Databases
• 70-463: Implementing a Data Warehouse with Microsoft
SQL Server 2012/2014
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What’s coming…
• Data production is accelerating
– Est .79ZB in 2009
– Est 7.9ZB in 2015
– Est 35ZB in 2020 (44 times greater than 2009)
• Data is diversifying
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Relational Data
Big (Size) Data
Fast Data
Dark Data
Lost Data
New Data
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DevOps
Philosophy, not Methodology
A (Very) Brief Overview
• DevOps is focused on delivering quality, faster.
• Philosophical approach, not methodological
– Automation, infrastructure as code, continuous deployment
– Emphasis on communication; silo reduction
• Born out of Agile, several innovators contributing
– Patrick Debois & Andrew Clay Shafer – Agile Infrastructure (Agile 08)
– John Allspaw & Paul Hammond – 10+ Deploys Per Day (Velocity 09)
– Gene Kim, Kevin Behr, & George Spafford – The Phoenix Project
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The Phoenix Project
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The Phoenix Project
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The Phoenix Project
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Key Takeaways
• DevOps is rooted in a sense of continuous improvement
• People over tools
• Reduce silos by focusing on shared goals, not
technology
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The Cloud Paradigm
Infrastructure, Platform, Software
What do we mean by “The
Cloud”?
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Trendy marketing term?
Network hosting?
Internet connected services?
Distributed, scalable, shared computing resources?
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Product-Focused Paradigm
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Cloud Paradigm
Applications
Data
Runtime
Middleware
O/S
Virtualization
Servers
Storage
Networking
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Cloud Paradigm
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Cloud Paradigm
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Cloud Paradigm
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Limoncelli, Chalup,
Hogan
http://the-cloud-book.com/
Ideal System Architecture
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Scalable
Resilient to Failure (Redundant)
Service-Oriented Architecture
Automated Monitoring, Configuration and Build
“Infrastructure As Code”
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Ideal Release Process
• Completely Automatic
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Code checked in -> new build
Unit & regression testing
User acceptance testing
Continuous Integration
Dependent on “infrastructure as code”
• Micro-releases (100 deployments per day)
• No rollbacks
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Ideal Operations
• Automatic instrumentation (Logging)
– Long Term Storage
– Predictive Analytics
• Automatic Error Logging & Alerting
– Respond to Every Error
– On-call Rotation includes Developers
• Automatic Scaling
– Scale Up
– Scale Down
• “Zero Maintenance”
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Ideal Data Architecture
Consistent
SQL Server
Relational
Engine
Available
Cassandra
Hadoop
Partition
Tolerant
CAP Principle (Gilbert & Lynch)
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Microsoft Data
Platform
Diversity in Data
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Microsoft Data Platform
http://t.co/lD8zqDKxhS
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Microsoft Data Platform
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Microsoft Data Platform
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Impact on Careers
Future Prognostications
Current Trends
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• Companies are recognizing the value of different kinds of
data, and an increased need for analytics.
– Adoption of Big Data technologies is on the rise
– Data Science jobs are increasing
– The Internet (or Fog) of Things is coming.
• Operational methodologies like Agile and DevOps are
pushing companies toward the Cloud Paradigm.
Current Trends
• The Cloud Paradigm with its separation of duties is
causing companies to realign resources.
– Infrastructure Teams
– Platform Teams
– Software Teams
• Operational technologies (virtualization, scripting) are
allowing organizations to scale out computing resources
with fewer human resources.
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Cloud Paradigm
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Applications
SOFTWARE
SQL
SERVER
Data
Runtime
Middleware
PLATFORM
O/S
Virtualization
Servers
Storage
Networking
INFRASTRUCTURE
My Predictions
• Increased segregation between Development and
Administration roles.
• Number of development jobs will increase
– Diversity of data platform.
– Need for integration.
– Data mining and analysis skills.
• Number of administrative jobs will decrease
– Infrastructure as code, scripting, virtualization
– Product specific specialists for initial configuration
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What does this mean for YOU?
• Choose your path: Development or Administration
• Developers have opportunities for breadth:
– Big Data (Hadoop, HDInsight)
– Data Science (Statistics, R)
– Visualizations (Reporting, Power BI)
• Administrators have opportunities for depth:
– Always On
– Infrastructure & Platform impacts
– Scripting & configurations
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MCSA SQL 2016
Querying Data with
Transact-SQL
Developing SQL
Databases
Administering a
SQL Database
Infrastructure
Provisioning SQL
Databases
Implementing a SQL
Data Warehouse
Developing SQL
Models
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Contact Me
Stuart R. Ainsworth
Twitter: @codegumbo
Email: [email protected]
Blog: http://codegumbo.com
Slides available: http://bit.ly/2j7lFVb
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Continuous
Improvement for
your career
Be Good at
Getting Better