Download - …optimise your IT investments Database trends Philip Howard Research Director – Bloor Research
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…optimise your IT investments
Database trends
Philip HowardResearch Director – Bloor Research
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telling the Information Management storyConfidential © Bloor Research 2009 telling the right storyConfidential © Bloor Research 2010
Agenda
Transactional trends (some common)
Trends common to transactional and warehouse environments
Warehousing trends
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Transactional trends
XML
Hardware integration
Solid state disks
Oracle portability
Data migration
Continuous availability
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XML
Increasing use of applications combining relational and XML data
Two ways to support XML:
Logically – means the database understands XML but converts it into relational format or stores it separately
Structurally – means the database stores XML as XML AND understands it logically
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Hardware integration
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Oracle portability
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Oracle portability
IBM has tested more than 750,000 lines of PL/SQL and it has achieved an average compatibility of 98.43%.
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Data migration
Much less risky than it used to be
Better tools
More understanding
Methodologies and best practices
Zero-downtime migrations
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Continuous availability
High availability caters for unplanned downtime
Continuous availability caters of planned and unplanned downtime
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Transactional/Warehousing trends
Archival
Green
Appliances/Ease of implementation
Autonomics
Performance
Scalability
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Archival
Saves storage costs
Reduces footprint
Improves performance
Releases resources
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Green
Reduced electricity requirements
Reduced cooling
Reduced footprint
Enables cost savings
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Appliances & implementation
Single install
Minimum time to system coming up
Convenience
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Autonomics
Reducing administration requirements
Automated performance tuning and recommendations
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Performance
photo by Amnemona
Always a requirement –
enabled by many of the other trends under discussion
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Scalability
Always a requirement
Needs to be easy to achieve
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Warehousing trends
In-database analytics
Compression
Encryption
Low latency analytics
MapReduce and R
Spatial and other data
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In-database analytics
Much, much faster and more accurate if run in-database
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Compression
Saves disk space
Reduces costs
Improves performance
The broader the application the betterNeed implementation at column level for best results
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Encryption
Required for many data protection environments (with masking)
Should be implemented at column level to minimise performance implications
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Low latency applications
Real-time web analytics, fraud detection, capital markets, telecommunications call analysis, online gaming, social media,
web comparison sites, sensor-based applications …
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New analytics support
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Spatial data
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Conclusion
There are many trends in database technology
Some provide new or additional functionality
Almost all provide either reduced costs or better performance or both
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