• Document: Denodo Data Virtualization (DV) Single View of Truth
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Denodo Data Virtualization (DV) Single View of Truth “By 2018, organizations with data virtualization capabilities will spend 40% less on building & managing data integration processes for connecting distributed data assets.” Source: SPA (Strategic Planning Assumption) Gartner published 2017 predictions research. What is Data Virtualization • A method of Data Integration that does not physically move data or create new copies of data • A method of Data Integration that isolates users from the format, location, technologies, and protocols for storing and accessing data • Real Time Data Access to any data type – structured, unstructured, semi structured • Many to 1 approach. Virtually join any number of data sources and source types into a single view 2 Problem: IT Architecture is Unmanageable Traditional Issues Hi-Data Growth, IT Complexity, Data Silos, Hi - Latency CRM ETL (MySQL) New Trends Inventory System (MS SQL Server) Real Time, Customer Voice Big Data, Billing System (Internet, Unstruc) (Web Service - Rest) Unstructured Data, Product Catalog (Web Service -SOAP) External Data, Move to Cloud Log files Product Data (.txt/.log files) (CSV) Big Data, Cloud (Hadoop, Web) 3 Solution: Virtual Data Layer Traditional Issues Data Virtualization Hi-Data Growth, IT Complexity, Data Silos, Hi - Latency CRM ETL (MySQL) New Trends Inventory System (MS SQL Server) Real Time, Customer Voice Big Data, Billing System (Internet, Unstruc) (Web Service - Rest) Unstructured Data, Product Catalog (Web Service -SOAP) External Data, Move to Cloud Log files Product Data (.txt/.log files) (CSV) Big Data, Cloud (Hadoop, Web) 4 Denodo DV: Connectivity to Any Data Type Relational DB’s: Oracle, DB2, Sybase, MS SQL Server, MySQL, PostgreSQL, Informix, MS Access… Parallel DB’s & Appliances: Teradata, Netezza, Oracle Exadata, Sybase IQ, Greenplum, ParAccel… Multidimensional OLAP Engines: SAP BW, MS SQL Server Analysis Services, Mondrian, Essbase… SOAP / REST Web Services and Data Feeds: XML, RSS, ATOM, JSON, Odata, Delimited Files – CSV, log files, device feeds, ... Enterprise Applications: SAP R3 / ECC, Oracle E-Business suite,, Siebel, PeopleSoft, SAS... Content Management Sys (CMS): MS SharePoint, IBM FileNet, Documentum… Modeling Tools: Erwin, Rochade, ER Studio… MDM & Mapping: IBM Initiate, ontologies, taxonomies… Mainframe / Legacy Connectivity: Adabas, IMS, DB2, TN5250 / TN3270. Plug-in architecture: third party Mainframe / Legacy Adapters... Semantic repositories in Triple Stores / RDF accessed via SPARQL endpoints LDAP and Active Directory: as source data & security access Big Data / NoSQL: Hadoop, Hive, HCatalog, Impala, Scoop, HBase, PIG, HDFS, MapReduce, AVRO, HDFS, Mongo DB, CouchDB, Neo4J, Cassandra, MarkLogic… Cloud, SaaS: Salesforce, Google, Amazon, LinkedIn, Facebook, Twitter via APIs; Any Website, Form, any Web based Apps… Enterprise Service Bus: JMS message queues, WebSphere MQ, Sonic, ActiveMQ… Custom Connector SDK: access any application via API and procedural interfaces. Semi-Structured Data: Web sites, Forms, applications, PDF, MS Word, MS Excel Unstructured Data: websites, file systems, Email servers, databases, knowledgebase, indexes (Lucene, MS FAST, HP Autonomy…), RSS Feeds … 5 Denodo Platform Architecture Business Solutions Access Information- as-a-Service Denodo Platform

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