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As the environments used to manage information become more complex, the data itself begins to lose its overall business value.
A major component of SOA, data integration, Business Intelligence systems, and the new As a Service offerings trend, Data Virtualization allows executives to do what they do best – manage their business. This article looks at products from a few of the leading Data Virtualization solution vendors, providing some insight to their features and capabilities. Denodo, located inPalo Alto,California, offers products that serve both data integration and virtualization needs. The Denodo Data Services Platform is a middleware solution containing functionality for Data Virtualization, data federation, as well as Cloud data integration. The Connect Layer uses a collection of data wrappers to communicate with a variety of data sources, including JDBC and ODBC compliant databases, MDX data warehouses, and web services supporting the REST and SOAP protocols.
These three layers combine to make the Denodo Data Services Platform worthy of consideration for any enterprise’s Data Virtualization needs. Informatica is known for their wide range of solutions in a variety of areas within Data Management. Out of the company’s wide array of product offerings, Informatica Data Services (IDS) is the one solution aimed at Data Virtualization. Getting the business and IT sides of the shop to work together seamlessly is an important goal of most enterprises. IDS also offers a single, unified environment for centralized Data Governance and security policy management.
Considering Informatica’s full range of Data Management products, their wide experience gives them a relevant background to take into account when looking at Informatica Data Services as a Data Virtualization platform. This shared approach facilitates the internal data application design process, in addition to delivery and change management. Virtualization tools include the ability to merge internal and external data from a variety of sources while leveraging a variety of timing factors, including batch, real-time, and virtual. DataFlux Data Management Server works in concert with the Studio product adding the capabilities needed in distributed environments. DataFlux Data Management Studio and Server need to be considered when looking for a Data Virtualization solution. Version 9.1 of InfoSphere Federated Server includes enhanced policy and rules support for information governance. InfoSphere Federated Server appears to be a robust tool for Data Visualization with a large collection of supported databases and data formats.  It also features a collection of tools to manage metadata and enterprise data quality rules.
Oracle is best known for its relational database product, but through acquisition, has now extended its reach into many areas of Information Technology. Data Integration Suite performs integrations in bulk with batch processing, in real time, or at an object level. In addition to its migration functionality, suitable for integration applications, DIS includes services for Data Governance, data quality, and data profiling.


Related products in the Data Integration Suite family include the Oracle Data Integrator ETL tool, the Oracle Hyperion Data Relationship manager, and Oracle BPEL Process Manager used for the development of business processes. Oracle Golden Gate is another product option suitable for the integration of data from disparate sources allowing a singular view to facilitate C-Level decision making. Data Virtualization, including closely related technologies like Data Federation and Data Integration, remains a valid option for companies looking to lessen the impact of complex data architectures. It gets increasingly difficult to wean valuable knowledge out of a tangled mass of databases, web sites, document repositories, and so on.
Having a C-level employee spend an inordinate amount of time dealing with the intricacies of overly complex enterprise information architecture does not help the bottom line. It can abstract the technical details of a database instance, allowing the user to focus on what is important.
Founded in 1999, the company is privately held, while backed by a $2.8B venture capital firm. Their wrappers also handle Cloud-based data as well as the semi-structured information found on websites. It leverages the abstraction provided by the Connect Layer to create a singular view of an enterprise’s data. IDS facilitates this through the use of role-based tools that foster business and IT collaboration using shared metadata. The data and logic are documented with metadata, and the profiling results are shareable between business stakeholders as well as developers.
In addition to data security, it is also possible to control privacy, quality, and freshness of data from this same platform.
But, through a robust number of acquisitions, SAS Institute has earned expertise in many other areas of Data Management. It is possible to both monitor data quality rules and manage corporate metadata from one interface. This includes parallel processing, an array of ETL transformations, and the overall scalability required when dealing with high transaction volume.
This includes older DB2, VSAM, and ISM instances all the way to relational databases, XML, as well as unstructured and structured formats.
Web-based blueprints are now shareable as metadata to facilitate collaboration on enterprise data policy.
The world of Data Virtualization is no exception, as Oracle Data Integration Suite includes a full set of Data Management components for data integration.
The governance functionality supports the ability to perform cleansing, lineage tracking, as well as auditing.
Both product lines, part of Oracle’s Fusion Middleware series, make the company a relevant player in Data Virtualization technology. It allows executives and employees to concentrate on business decisions focused on meaningful information, unencumbered by the technical details related to the data itself. First off, you mentioned Denodo’s three layer architecture: Does Informatica promote any such model?


We want to make sure our SPOTers are well prepared for the shift, so here’s everything you need to know about what Searching For a SPOT will look like in SPOT 2.0!Mind-reading Search Bar:The map will default to you current location but what if you’re looking to book a SPOT ahead of time in a different area?
A layer of abstraction providing a common view of an enterprise’s disparate data resources is the promise of Data Virtualization. Denodo offers a SDK useful for creating data wrappers for other unsupported information sources. The performance, security, and query management functionality of the Denodo platform reside within the Combine Layer.
It also includes on-the-fly data transformation capabilities with integrated data quality and data masking functionality. This includes Informatica Developer, an Eclipse-based IDE allowing developers to create and deploy web services. Both the development and delivery of data integration, data quality, and MDM solutions are managed within the application.
Consistency in visual elements and the overall enterprise-wide user interface becomes second nature.
Federated queries are able to scale to manage higher volumes of data using IFS’s parallel processing architecture.
Legacy development work gets leveraged through the ability to run stored procedures on heterogeneous data sources. Secondly, you don’t mention Composite Information Server, which is commonly identified as one of the top DV tools along with Denodo and Informatica: Why the omission?
Start typing an area you’re looking for parking and the SPOT app will return points of interest related to your search. It allows for a common dashboard view of corporate information to be shared by all employees.
No more struggling with 15-letter street names or trying to figure out how to spell “Gloucester” ever again.Maps That MoveNo more dragging pins all over a map. In the most Uber-esque update to SPOT, your location pin stays in place, and you simply move the map behind it. The displayed price reflects the rental length (hour,day,week or month) that you’ve set your search filters to. Tap the pin on the map to open up that SPOT’s profile, including details about available dates and hours, notes about accessing the SPOT, and features of the SPOT itself (ex.
New SPOT owners will be able to upload multiple photos to give renters a better idea of where to park and simplified and standardized notes and features section makes it easy to compare what’s best for you. Be sure to stay tuned for more updates on what to look forward to with the brand new SPOT app on the way in May 2015!
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