Simplifying Big Data Analytics: Unifying Batch and Stream Processing. John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!!
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1 Simplifying Big Data Analytics: Unifying Batch and Stream Processing John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!!
2 Streaming Analy.cs S S S Scale- up Database Data And Compute Grid Clustered Database D G G G D D D General- purpose data processing cluster B B B
3 DataTorrent enables enterprises to process data in motion and take action in real-time! Faster Time to Insight! Faster Time to Action! Trend: Batch and streaming use cases!
4 Data Processing Categories in Big Data Use Cases! Data Velocity Streaming Stream Processing N/A Sta.c Batch Processing Ad- hoc Query Known Unknown Ques.ons known?
5 Data Sources! Transactional Data! Web Click Stream! Mobile Devices! Operational Log Files! Public Data! Sensor Data!!
6 Customer Uses! Real-Time Advertising! Customer Service! Operational! Fraud Detection! Predictive Maintenance!
7 Processing Data In Motion! Ingest! Archive! Transform Normalize! Analyze Business Logic! Alert! Action! Visualize! Persist!
8 Online advertising dynamic inventory purchases! Ad Server 1! High volume auto-scaling fault tolerant event stream. Dimensional computing to identify performing ads.! Ad Placement Strategy! Fault-Tolerant Flume! In-memory analytic cube! Campaign Analysis! Real-time Dashboard! Ad Server 800! Oracle DB!
9 SmartGrid Connected Home! Home Sensor(s)! SmartGrid Sensors! Smart Grid provider with many partners has heterogeneous network sources, provides analytics to utilities & customers and provide ISV platform! Normalization! Enrichment Data! Analytics! ISV Applications! Tableau! Visualizations! Alert on error! Consumer Energy Audit! Operational Safety/Costs!
10 Batch Data! Customer Information! Historical Sales! Support Data! Product Configuration! Corporate Info!
11 Batch Processing Data! Ingest! Archive! Transform Normalize! Visualize! Persist! Analyze Business Logic! Alert! Action!
12 The Enterprise Data Processing Problem! BI & Analytics! Platform! Ingest! Archive! Transform Normalize! Analyze Business Logic! Alert! Action! Visualize! Persist! ETL! ETL! Business Analytics! Complex Event/! Event Streaming!
13 The Enterprise Data Processing Problem! BI & Analytics! Platform! Ingest! Archive! Transform Normalize! Analyze Business Logic! Alert! Action! Visualize! Persist! ETL! ETL! Business Analytics! Complex Event/! Event Streaming!
14 The Enterprise Data Processing Problem! Transmission team - Credit, Debit, ACH over Secure FTP! Transformation team - Parse, Dedup, Transform, Encrypt! Distribution team - Hadoop, MPP, DB! Reports team! Dashboards & Alerts! BI & Analytics! Platform! Ingest! Archive! Transform Normalize! Analyze Business Logic! Alert! Action! Visualize! Persist! Separate applications for each step in the end to end process.! ETL! o 4 to 5 batch jobs to complete the process end to end! o 1 to 2 runs a day. So typical time to value is around 12 hours! ETL! Business Analytics! Complex Event/! Event Streaming!
15 Financial services big data fabric! SMTP Logs! Financial Data! Secure, fault tolerant, data ingestion, formatting & archiving. Data access layer for application processing! Encrypt! Historical! Compliance! Archive! Alert on error! Application 1! Application n! Persistent!
16 Satellite Television Provider! Package Package Data! Data! Automated, faster time to insight, driving accurate payment, auditing and business planning! Payment System! Rate Rules! Join! Data Prep! Rate Rules! Data Compliance! Audit Reporting! Subscription! Subscription! Dated Archive! Business Projection!
17 DataTorrent RTS Architectural Overview! Ingestion & Distribution for Hadoop! Graphical Application Assembly! Real-Time Data Visualization! Management & Monitoring! Ingest! Archive! Transform Normalize! Analyze Business Logic! Re-Usable Java Operator Library! Scalable, High Performance, Fault Tolerant In-Memory Data Processing Platform! Hadoop 2.0 YARN + HDFS! Alert! Action! Visualize! Persist! Physical Virtual Cloud!
18 DataTorrent - Project Apex! Industry s first open source enterprise-class unified stream and! batch processing platform! DataTorrent RTS 3 Core engine! Key features requested by open source developer community! ᵒ Event processing guarantees! ᵒ In-memory performance & scalability! ᵒ Fault tolerance and state management! ᵒ Native rolling and static window support! ᵒ Hadoop-native YARN & HDFS implementation! Apache 2.0 License! Complemented by open source Malhar operator library!
19 DataTorrent enables enterprises to process data in motion and take action in real-time! Faster Time to Insight! Faster Time to Action! Trend: Batch and streaming use cases!
20 Big Data. Big Actions. Now.!
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