Cassandra as the heart and soul of a Lambda Architecture for realtime data analysis. Based on work with Apache Storm, Spark Streaming, Spark and DataStax Cassandra.

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Lambda-ssandra

2. History
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3. Motivation
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4. Bolt-on’s / Add-on’s
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5. BADASS (BDAS)
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6. Spark Use-Cases
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• Ad hoc, exploratory, interactive analytics
• Real-time + Batch Analytics
– Lambda Architecture
• Real-time Machine Learning
• Real-time Graph Processing
• Approximate, Time-bound Queries

7. Spark-Streaming Use-Cases
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• ETL on streaming data during ingestion
• Anomaly, malware, and fraud detection
• Operational dashboards
• Lambda architecture
– Unified batch and streaming
– ie. Different machine learning models for different time frames
• Predictive maintenance
– Sensors
• NLP analysis
– Twitter firehose

8. Time-series stream processing
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9. Putting it all together
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10. Counting
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