SFScon19 - Grazia Cazzin - KNOWAGE the open source answer to the new needs in data analysis and exploration
0 likes•107 views
Grazia Cazzin leads the Big Data & Analytics Competency Center at Engineering Group S.p.A. and is known for her contributions to open-source projects like Knowage and SpagoBI. With extensive experience in data modeling, enterprise applications, and business intelligence across various sectors, she is actively involved in innovative projects focused on big data analysis, including smart cities and industry 4.0. Knowage offers a comprehensive open-source analytical suite that supports diverse data sources and customizable data visualization capabilities.
SFScon19 - Grazia Cazzin - KNOWAGE the open source answer to the new needs in data analysis and exploration
- 1. The open source answer to the new needs in data analysis and exploration
- 2. ABOUT ME Grazia Cazzin is the offering manager for Big Data & Analytics competency center in the Research and Innovation Division of Engineering Group S.p.A.. She is the Knowage Labs Director (www.knowage-suite.com), the founder of the SpagoBI project (http://www.spagobi.org) and its historical project leader. Working in the IT field since 1992, she has been involved in enterprise application development, data modelling, data warehousing, dimensional analysis and business intelligence; she has gained valuable expertise working in several market sectors (industry, finance, public administration) and covering several thematic areas (ERP, MRP, MPS, Enterprise Portals, CRM, DWH and BI, Big Data, Analytics). She's currently involved in all the activities concerning Big Data Analysis, as for SmartCity, Smart Agriculture and Industry 4.0 scenarios.
- 4. Leader of OW2 BD Initiative; member of BD Value Association; founder of HUG Italy Collaboration with Red Hat and Canonical Foundation on big data Knowage new model 2013 2014 20162015 Joined FIWARE project 2005 SpagoBI v1 release with OW2 Experiences on CEP, RT and Eclipse Foundation, releasing the eBAM project. GeoBI Initiative 2010 Knowage 7.0 release On Cloud 2019 OPEN SOURCE PLAYER
- 5. •Open source and open standard •Any data, many goals, open architecture •Multiple data sources (in the same document) •Community edition & enterprise edition •Responsive GUI, ready for mobile •OEM enabler •On-premise/on-cloud •Open source at Enterpise Level KNOWAGE IN A NUTSHELL
- 6. Smart Intelligence Big Data analysis Enterprise reporting Location Intelligence Performance management Predictive Analysis OPEN SOURCE FULL ANALYTICAL SUITE
- 7. ANY DATA Universal data set Technical user End user MetamodelDirect access
- 8. Unstructured DATA EXPLORATION over traditional data & big data
- 9. Well formed DATA EXPLORATION over traditional data & big data
- 10. COMBINE Index (Solr/Elastich search) with external data
- 11. FULL TEXT Search and FACETED VIEW
- 12. HTML INJECTION for powerful DATAVIZ
- 13. HTML INJECTION for powerful DATAVIZ
- 14. R / Python INJECTION for powerful DATAVIZ & ANALYTICS
- 15. R / Python INJECTION for powerful DATAVIZ & ANALYTICS
- 16. COMBINE DATA •RDBMS (Oracle, MySQL, PosgreSQL, SQL Server, etc.) •Analytical DB (Teradata, Vertica, etc.) •NoSQL (MongoDB, Cassandra, etc.) •Big Data (Impala, Hive, Hbase, etc.) •GIS system (WMS, WFS, SVG) •Search index (Solr, Elastic search) •File, WS, REST API •RT data broker (IoT, contextBroker, etc.) •Open data •Etc. MASH-UP
- 17. ANALYTICAL CONTEXT •Chart / table •OLAP •Maps •Insights •Data exploration •Full text search •Faceted view •R/Python injection •HTML customization Mixed view Customization Pluggable code
- 18. CUSTOMIZATION, MASH-UP, INJECTION: delivered at enterprise level Any Data Many data sources at the same time
- 19. My Experience CUSTOMIZATION, MASH-UP, INJECTION: delivered at enterprise level Any Data Many data sources at the same time Best dataviz, cutomized experience
- 20. Enterprise context My Experience CUSTOMIZATION, MASH-UP, INJECTION: delivered at enterprise level Any Data Many data sources at the same time Best dataviz, cutomized experience Security, Profiling, life cycle, etc.
- 21. Ad-hoc reporting & Self Service Interactive Analysis Chart, table Drill-down RDBMS Map, spatial KPI thresholds INNOVATION @Enterprise
- 22. Ad-hoc reporting & Self Service Interactive Analysis Chart, table Drill-down RDBMS Map, spatial KPI thresholds Network Analysis Machine learning & AI «Big Data» Ecosystem Texts (mail, web) Web data Insights Social Open Data NoSQL IoT Triple store Search Index INNOVATION @Enterprise
- 23. Ad-hoc reporting & Self Service Interactive Analysis Chart, table Drill-down RDBMS Map, spatial KPI thresholds Governan ce Network Analysis Machine learning & AI «Big Data» Ecosystem Texts (mail, web) Web data Insights Social Open Data NoSQL IoT Triple store Search Index INNOVATION @Enterprise Audit & Monitoring Security Scheduler Versioning Alerting Customer journey Data Linage Mash-up Life cycle Cache Profiling Tenant Data Mng Glossary Services Data Integration Users & Roles Support Portability Scalability Collaborat ion Customiza tion Delivery Data Lineage Metadata