Red Hat JBoss Data Virtualization
1 like266 views
The document discusses Red Hat JBoss Data Virtualization software. It describes how data virtualization can integrate data from various sources like databases, data warehouses, applications and files into a single virtualized data model. This allows for easy, real-time access to information across different data silos. The document also outlines key capabilities of JBoss Data Virtualization like composing, consuming and connecting data, supporting various data sources, and providing data services.
Red Hat JBoss Data Virtualization
- 1. www.dlt.com Red Hat JBoss Data Virtualization July, 2016 Rick Stewart, Middleware SA Herndon, VA
- 2. 7/19/16 DLT Solutions LLC – Proprietary & Confidential 2 “Kiss” “Whitesnake” “Poison” “Bad Company” Data Warehouse
- 3. “Bad Company” 7/19/16 DLT Solutions LLC – Proprietary & Confidential 3 “Kiss” “Whitesnake” “Poison” Data WarehouseData Virtualization Server
- 4. What does Data Virtualization software do? 7/19/16 DLT Solutions LLC – Proprietary & Confidential 4 Virtual Consolidated Data Source BI Reports Data Virtualization Software •Consume •Compose •Connect SAP Salesforce.comOracle DW XML, CSV & Excel files Siloed & Complex Virtualize Abstract Federate Easy, Real-time Information Access Applications DATA CONSUMERS DATA SOURCES
- 5. “Bad Company” 7/19/16 DLT Solutions LLC – Proprietary & Confidential 5 “Kiss” “Whitesnake” “Poison” Data WarehouseData Virtualization Server
- 6. “Bad Company” 7/19/16 DLT Solutions LLC – Proprietary & Confidential 6 “Kiss” “Whitesnake” “Poison” Data WarehouseData Virtualization Server
- 7. Data Challenges Getting Bigger 7/19/16 DLT Solutions LLC – Proprietary & Confidential 7 BI Reports Operational Reports Enterprise Applications Cloud Native Applications Mobile Applications Hadoop NoSQL Cloud Apps Data Warehouse & Databases Mainframe XML, CSV & Excel Files Enterprise Apps Integration Complexity Consumption & Creation Siloed How to Integrate?
- 8. Improve Access to Your Data 7/19/16 DLT Solutions LLC – Proprietary & Confidential 8 BI Reports Operational Reports Enterprise Applications Cloud Native Applications Mobile Applications Hadoop NoSQL Cloud Apps Data Warehouse & Databases Mainframe XML, CSV & Excel Files Enterprise Apps Broad & Streamlined Adaptable & Secure Federated & MeaningfulData Virtualization Server
- 9. Simplify Access to Your Data 7/19/16 DLT Solutions LLC – Proprietary & Confidential 9 streaming databases social media data production application big data stores website ESB analytics & reporting unstructured data mobile App data warehouse & data marts internal portal dashboard external data private data ODBC/SQL JDBC/SQL XML/SOAP REST/JSON OData SQL JMS SQL JDBC OData Hive RSS Excel JSONREST SOAP JMS message SQL statement SOAP messageData Virtualization Server production databases applications
- 10. Turn Siloed Data into Actionable Information 7/19/16 DLT Solutions LLC – Proprietary & Confidential 10 Connect Compose Consume BI Reports & Analytics Mobile Applications Applications & PortalsESB, ETL Native Data Connectivity Standard based Data Provisioning JDBC, ODBC, SOAP, REST, OData JBoss Data Virtual- ization Data Consumers Data Sources Design Tools Dashboard Optimization Caching Security Metadata Hadoop NoSQL Cloud Apps Data Warehouse & Databases Mainframe XML, CSV & Excel Files Enterprise Apps Siloed & Complex Virtualize Transform Federate Easy, Real-time Information Access Unified Virtual Database / Common Data Model Data Transformations
- 11. Supported Data Sources 7/19/16 DLT Solutions LLC – Proprietary & Confidential 11 Enterprise RDBMS: •Oracle •IBM DB2 •Microsoft SQL Server •Sybase ASE •MySQL •MariaDB •PostgreSQL •Ingres Enterprise EDW: •Teradata •Netezza •Greenplum Search: •Apache SOLR Hadoop: •Apache •HortonWorks •Cloudera •More coming… Office Productivity: •Microsoft Excel •Microsoft Access •Google Spreadsheets Specialty Data Sources: •ModeShape Repository •Mondrian •MetaMatrix •LDAP •Apache POI for Excel NoSQL: •JBoss Data Grid •MongoDB •Cassandra •More coming… Enterprise & Cloud Applications: •Salesforce.com •SAP Technology Connectors: •Flat Files, XML Files, XML over HTTP •SOAP Web Services •REST Web Services •OData Services 7/19/16
- 12. Data As A Service DLT Solutions LLC – Proprietary & Confidential 127/19/16 Contextual view of disparate source data Single point of access Standard based interfaces Shareable integration and transformation logic Reusable data services But you cannot achieve this by writing more application code… Hadoop NoSQL Cloud Apps Data Warehouse & Databases Mainframe XML, CSV & Excel Files Enterprise Apps JBoss Data Virtualization BI Dashboard & Reports Analytical Applications ESB/SOA Integration BPM Applications Mobile Applications SQL Statement SOAP MessageREST Message REST Request JSON Result SQL Request SQL Result
- 13. Logical Architecture 7/19/16 DLT Solutions LLC – Proprietary & Confidential 13 Data Consumers Data Sources
- 14. Teiid Data Virtualization Designer 7/19/16 DLT Solutions LLC – Proprietary & Confidential 14
- 15. 7/19/16 DLT Solutions LLC – Proprietary & Confidential 15 Tooling VirtualDB Engine Server
- 16. 7/19/16 DLT Solutions LLC – Proprietary & Confidential 16 Tooling VirtualDB Engine Server Users create data models based on metadata: •Imported from data sources •Supplied via DDL •Provided by Engine •Specified by user Models are packaged in a Virtual Database (VDB) Physical Models representing actual data sources Logical Models
- 17. 7/19/16 DLT Solutions LLC – Proprietary & Confidential 17 Tooling VirtualDB Engine Server Build XML Document models from XML Schemas Map XML Document models to other data models Enable data access via XML
- 18. 7/19/16 DLT Solutions LLC – Proprietary & Confidential 18 Tooling VirtualDB Engine Server Virtual Databases (VDBs) are deployment archives similar to .WAR. VDBs contain •Source metadata and models •View metadata and models •System metadata •Connection information, which is bound to sources at deployment time VDBs are deployed to the query engine VDB Internals Source Models Connector Binding Properties View Models Manifesto Info
- 19. 7/19/16 19 Tooling VirtualDB Engine Server JBoss Data Virtualization can offer finer-grained security control: Authentication: Kerberos, LDAP, WS-UsernameToken, HTTP Basic, SAML Authorization: Virtual data views, Role based access control Administration: Centralized management of Virtual DB privileges Audit: Centralized audit logging and dashboard Protection: Row and column masking SSL encryption (ODBC and JDBC) DLT Solutions LLC – Proprietary & Confidential
- 20. 7/19/16 DLT Solutions LLC – Proprietary & Confidential 20 Tooling VirtualDB Engine Server Query Engine JDBC API VDB Connector Binding (1) Connector Binding (2) C1 C2 DB Oracle DB SQL Server Data Consumer Apps Query Engine is core data virtualization functionality: Federating relational query engine. Rule and cost based optimizer, advanced query planner, caching, hint processing. Query Engine hosts VDBs, binds to data sources, performs query execution and results processing.
- 21. 7/19/16 21 Tooling VirtualDB Engine Server The Teiid Query engine is hosted in JBoss EAP and uses key container- provided services: •Transaction manager •JAAS security framework •Container managed data sources •EAP management infrastructure •EAP deployment The Server exposes views /services to consumers and managed connections and connection pools for data sources. DLT Solutions LLC – Proprietary & Confidential JBoss EAP Applications Security JAAS Transaction Manager JDV Runtime Engine BufferMgr Threading Local Caches etc. VDB VDBs ODBC Socket Transport Admin Socket Transport JDBC Socket Transport Profile Service ODBC JDBC Admin / AdminShell JON DS DS DS DS JCA Translators Embedded DS xxx-ds.xml yyy-ds.xml zzz-ds.xml
- 22. 7/19/16 22 Tooling VirtualDB Engine Server DLT Solutions LLC – Proprietary & Confidential CACHING & MATERIALIZATION Multiple levels of caching to meet performance requirements and manage load on source systems: Materialized Views –External or Internal materialized views –Ability to override use of materialized views Result set Caching –Applied to results return from user queries and virtual procedure calls –Configurable time to live and max. number of entries Code Table Caching –Suited for integrating reference data with transaction/operational data e.g. Country code, State Code etc. QUERY Access Patterns – criteria requirements on pushdown queries Pushdown – decompose user query into source queries –Projection minimization to remove unused select items –Decompose aggregates over joins/unions –Generating SQL matching Teiid system functions Dependent Joins (can use hints) – feed equi- join values from one side of the join to the other Partition aware aggregation and joins Copy Criteria – uses criteria transitivity to minimize join tuples. PERFORMANCE OPTIMIZATION
- 23. Business Dashboard 7/19/16 DLT Solutions LLC – Proprietary & Confidential 23
- 24. Bring It All Together 7/19/16 DLT Solutions LLC – Proprietary & Confidential 24 Hadoop Data Integration JBoss Data Virtualization In-memory Cache JBoss Data Grid BI Analytics (historical, operational, predictive) Composite Applications Messaging and Event Processing JBoss A-MQ and JBoss BRMS J Structured Data Streaming Data Semi-Structured Data Capture&ProcessIntegrate&Analyze Red Hat Storage
- 25. 25 Questions ?
- 26. Bring It All Together 7/19/16 DLT Solutions LLC – Proprietary & Confidential 26
- 27. 27 Thank You!
- 28. JBoss Data Virtualization – Use Cases 7/19/16 DLT Solutions LLC – Proprietary & Confidential 28 Self-Service Business Intelligence The virtual, reusable data model provides business-friendly representation of data, allowing the user to interact with their data without having to know the complexities of their database or where the data is stored and allowing multiple BI tools to acquire data from centralized data layer. Gain better insights from Big Data using JBoss Data Virtualization to integrate with existing information sources. 360◦ Unified View Deliver a complete view of master & transactional data in real-time. The virtual data layer serves as a unified, enterprise-wide view of business information that improves users’ ability to understand and leverage enterprise data. Agile SOA Data Services A data virtualization layer deliver the missing data services layer to SOA applications. JBoss Data Virtualization increases agility and loose coupling with virtual data stores without the need to touch underlying sources and creation of data services that encapsulate the data access logic and allowing multiple business service to acquire data from centralized data layer. Regulatory Compliance Data Virtualization layer deliver the data firewall functionality. JBoss Data Virtualization improves data quality via centralized access control, robust security infrastructure and reduction in physical copies of data thus reducing risk. Furthermore, the metadata repository catalogs enterprise data locations and the relationships between the data in various data stores, enabling transparency and visibility.
- 29. 7/19/16 DLT Solutions LLC – Proprietary & Confidential 29 BA C D JBoss Data Virtualization Leveraged TPC-H like schema, data and queries Use 4 different commercial enterprise RDBMS Each database with 1 TB data representing •150 million customers, with over •600 million order records, and •6 billion order line items. •Total 4 TB of data Findings: •No measurable JDV queries overhead vs. direct queries •Queries to federated data from four data sources ran 61.7 percent faster vs. baseline •Scaling queries workload by 2x resulted in <10% impact on response time Download Benchmark Study @ http://www.redhat.com/en/resources/jboss-data-virtualization-query-performance-benchmark-study