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Presentation given at @DamnData discussing different architecture types for BigData environments
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BigData Architectures
Daan GeritsDasos
Volume
We already have that:
- NAS/SAN- High Performance Computing
IOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIOIIOIOIOIIIOIOOOOIOIOOIIOIIIIIOIIOIIOIOIOIOIOIOIIOIIOIOIOIIIOIOOOOIOII
Variety
We already have that:
- Meta-modeling- NAS/SAN
IOIIIOII IOII
IOIIIOIIIOII
IOIIIOIIIOII
Velocity
We already have that:
- Complex Event Processing
IOII OOIOII
OIIIOIII
But do you have all of that in 1 platform?
But How??
Architectures
(Thx Nathan Marz!)
Analytical Big Data
Analysis OrientedOptimize
Non-intrusive
Delta
DataSources
DistributedDatabase
Data Systems
AppsDashboards
IngestionEngine
Enrich
Delta
DataSources
DistributedDatabase
Data Systems
AppsDashboards
Flume, Sqoop,
Scribe, ... MR, Pig, Crunch, Mahout, ...
MR, Pig, Crunch, ...
Impala, Hive, ...
Delta
Analytical Big Data architecture for enriching mostly structured data with the goal to
optimize business processes.
Delta
DataSources
DistributedDatabase
Data Systems
AppsDashboards
IngestionEngine
Enrich
Overload!
Delta
Be write-heavy
orread-heavy
NOT both!
Operational Big Data
(Thx Nathan Marz!)
Focussed on Day-to-day business
Innovate(Non-)intrusive
Lambda
DataSources
RealtimeProcessing
FactStore
Batch View A
Batch View B
Batch View C
Realtime View A
Realtime View B
Realtime View C
Just In TimeCombiner
Apps
Dashboard
Reports
Lambda
DataSources
Storm
HDFS
ElephantDB
ElephantDB
ElephantDB
Cassandra*
Cassandra*
Cassandra*
Custom Code*
Apps
Dashboard
Reports
Lambda
Operational Big Data architecture for storing and processing
multi-structured and immutable data with the goal to
Innovate business
Technologies to use
Pick your stack!
Advice
Pilots, PoC, PoT, … do them!Be pragmatic, start skinnyIn Belgium: Variety > VolumeBe prepared to pivot on technologies
Questions?Thoughts?Ideas?Disagreements?...
daan.gerits@dasos.bewww.dasos.be@daangerits
All images are used merely for illustrational means. In no way was it my purpose to violate any rights by using them.
BigData Architectures
Backup Slides
Volume
Variety Velocity
Lambda
Multi-structured
Un-structured
Re-structured
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