Big Data Visualization with JReport

Transcription

1 Big Data Visualization with JReport Dean Yao Director of Marketing Greg Harris Systems Engineer

2 Next Generation BI Visualization JReport is an advanced BI visualization platform: Faster, scalable reports, dashboards and analysis Intelligent push-down In-memory cubes Clustered servers Customizable, self-service visualization Visualization and analysis so easy anyone can use Rich collection of charts, controls, widgets Comprehensive platforms Any data source: from RDBMS to AWS to Big Data Service users anywhere: from PC to mobile Fully customizable and embeddable 2

3 performance and features BI Visualization Powered by JReport complex systems embeddable power Traditional BI JReport Open Source legacy tools ease of embedding simplistic solutions 3

4 JReport Solution JReport Server Live Integration Embedded Solutions JDashboard Analysis Interactive Visualization Information Delivery Web & Mobile BI JReport Mobile Visualize. Analyze. Deliver. 4

5 Embedded Solution BI Platform Security, admin Customizable look and feel Metadata Management Organize/publish/search of: dimensions, hierarchies, measures, formula, components, reports Development Tools 100% Java, seamless integration IDE to build components, reports, dashboards API for application embedding ACME Financials 5

6 Self-Service Reporting and Analysis Wizard UI step by step Visual Analysis view as you go Flexible data sources One-click interactions Sort, filter, link to reports, drill into details, expand/collapse groups Themes, profiles, print layouts Security and Governance Fast: In-memory cubes, cache, push-down 6

7 Big Data Visualization Big Data large, complex set of data Genomics data, traffic data, social media data NoSQL databases non-relational, distributed, open-source and horizontally scalable MapReduce parallel processing using Master-Worker nodes MongoDB by 10gen Visualization is important 7

8 In-Memory Cube and Cache High volume and fast response for conventional or big data Details Cache Parallel queries for aggregate measures Data Source Connections RDBMS Big Data Drilldown queries for details MapReduce or equivalent 8

9 In-Memory Cube and Cache High volume and fast response for conventional or big data Details Cache Data Source Connections RDBMS Big Data MongoDB Aggregation Framework 9

10 JDashboard: Interactive Visualization Easily drag/drop from library Reuse reports, components, analysis 3 rd party widgets e.g. Google Maps Sort, filter, drill, pivot, slice-n-dice, parameters, export Synchronized refresh HTML5/Flash 10

11 Interactive Data Exploration Link Report Drill on Chart Customize Parameters Conditional Formatting On-Screen Filters Interaction among components 11

12 Advanced Visualization Choose from a Wide Variety of Chart Types & Styles 12

13 Live Charts Motion Charts Real-time Charts Scrollable Charts 13

14 Web Delivery Sophisticated Reporting Page/Web reports, wide array of styles, pixel-perfect capable, reusable components, parameters Scalable Delivery High volume on-demand and scheduled reports Anytime, Anywhere Access reports and dashboards on Web and mobile devices Deliver in any format: Web, PDF, Excel, , fax, FTP, 14

15 JReport Mobile Anywhere Visualization Browser and native ios implementation Support mobile device gestures Scrollable component navigation Convertible chart types Rich interactions: filter, sort, drill, pivot Free from the Apple App Store 15

16 JReport s Global Customer Base Financial Services Consumer / Manufacturing Telecom Healthcare / Healthcare Insurance ISV/OEM Government 16

17 JReport Architecture 17

18 Demo Scenario 1. Show MongoDB console 2. Connect JReport to MongoDB 3. Build in-memory cube 4. Visualize MongoDB data on a dashboard 18

19 Next Steps JReport Summit on April 2, 2013 Register here: For more info, visit: Sales: Phone: