Where does Big Data meet Big Database
InfoQ published the video for my Where does Big Data meet Big Database talk at QCon this year.
Thoughts appreciated.
About
I’ve worked with software and with computers for a while now. Long enough to sometimes be useful but not so long as to have lost interest.
My experiences of late have largely focused around distributed data storage, in particular Oracle Coherence, and this has inevitably shaped my understanding of systems, so keep that in mind as you read on.
The articles above are those that are recent or popular. There are a variety of other articles, categorised to the right and more traditional blog entries below.
Follow me on Twitter or read a little more about me here.
Talks
- QCon-2012: Where does Big Data meet Big Database?
- QCon-2012: Progressive Architectures at RBS
- JavaOne-2011: Balancing Replication and Partitioning in a Distributed Java Database
- QCon-2011: Beyond the Data Grid: Coherence, Normalisation, Joins and Linear Scalability
- OpenWorld-2011: Adopting Oracle Coherence as an Enterprise Standard
- UCL-2011: A Paradigm Shift: The Increasing Dominance of Memory-Oriented Solutions for High Performance Data Access
- CoSIG-2011: Oracle Coherence Implementation Patterns (Special Interest Group)
- ICST-2011: Test-Oriented Languages: a new era?
- ICST-2011: Enabling Testing, Design and Refactoring Practices in Remote Locations
- Birkbeck-2011: Data Storage for Extreme Use Cases
- RefTest-2010: Has Mocking Gone Wrong?
- RBS-2009: Data Grids with Oracle Coherence
- Brunel-2008: The Architect's Two Hats
- Brunel-2007: Architecture and Design in Industry
Coherence
- Beyond the Data Grid: Coherence, Normalisation, Joins and Linear Scalability (QCon)
- Coherence Part I: An Introduction
- Coherence Part II: Delving a Little Deeper
- Coherence Part III: The Coherence Toolbox
- Coherence Part IV: Merging Data And Processing
- Coherence: The Fallacy of Linear Scalability
- How Fault Tolerant Is Coherence Really?
- Merging Data And Processing: Why it doesn’t “just work”
Coherence Patterns
- A Reliable version of putAll()
- A Singleton Service
- Coherence Implementation Patterns – Slides from Coherence SIG
- Joins: using Key-Association (Simplest)
- Joins: using Snowflake Schemas & CQCs (Intermediate)
- Joins: with Connected-Replication (Advanced)
- Managing Versioning
- The Collections Cache
Links
Analysis & Opinion
- The Big Data Conundrum (2012)
- Thoughts on Big Data Technologies (4): Our Love-Hate relationship with the Relational Database (2012)
- Thoughts on Big Data Technologies (3): Objections Worth Thinking About (2012)
- Thoughts on Big Data Technologies (2): How big is Big? (2012)
- Thoughts on Big Data Technologies (1) (2012)
- A Story about George (2012)
- Data Storage for Extreme Use Cases: An Introduction (and a Peek at ODC) (2011)
- The Rebirth of the In-Memory Database (2011)
- Is the Traditional Database a Thing of the Past? (2009)
- Shared Nothing v.s. Shared Disk Architectures: An Independent View (2009)
- Component Software. Where is it going? (2005)
- Do Metrics Have a Place in Software Engineering Today? (2004)
Test Driven Development
- Are Mocks All They Are Cracked Up To Be?
- Beyond Stubs: Why We Need Interaction Testing
- Isolating Functional Units: Why We Need Stubs
- Test Oriented Languages: Is it Time for a New Era?
Team / Process / Interviewing
- Distributing Skills Across a Continental Divide
- Four HPC Architecture Questions – With Answers
- Interviewing: The Importance of Examining Applied Knowledge
- Learning Practices for Distributed Teams (ICST)
- Mapping Personal Practices
- The Business Analyst Test
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