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What is QueryObject? |
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What
are the benefits in using QueryObject as Data management
Infrastructure? |
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What
kind of application can be developed with QueryObject? |
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Why does QueryObject perform and scale so
well? |
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Which are the key advantages QO ensures? |
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What are
supported standards? |
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What
front-end tools can be used to access the QueryObjects?
Which have been certified as QO compatible? |
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Is it possible to access a QueryObject
using a proprietary front-end tool? |
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What are the QO proprietary processes? |
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The security of the information contained
into a QO is preserved also if it is detached from the
host server and distributed physically via e-mail or
CD-Roms |
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How much time does it take to train a user
on QueryObjects ? |
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Which vertical market solutions can be
(have been) developed with QO? |
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| What is QueryObject? |
| QueryObject is
an event data management platform that boosts
existing big data infrastructures’ performances. The QueryObject data set is
comprised of: |
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An exact, complete, compressed, and de-normalized image
of input data sources; |
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A compressed materialized aggregated view of data; |
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A set of dynamic correlation keys between aggregated views and data |
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What are the benefits in using QueryObject as Data
management Infrastructure? |
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Compression |
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Speed of generation |
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Scalability |
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High Performance Access |
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Simple, low cost, and comprehensive analitycs and reporting |
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Openness to any type of Data Source (Internet, emebedded systems and database); |
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Open access from any type of commercial reporting and analytics tools; |
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Open access from XML, SOAP, ODBC, JDBC, etc; |
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Platform portability, access from mobile devices; |
| . |
| What
kind of application can be developed with QueryObject? |
| QueryObject has been successfully applied for: |
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| Data
Integration solutions: |
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Pre/Post Aggregation Processing |
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High Volume Log, streams, data Movement |
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Complex ETL architectures. |
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Data Warehouse & Business Intelligence: |
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Extreme BI projects; |
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DW Appliances Solutions; |
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Self Service BI; |
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Infrastructures and Frontend tools
Performances crisis lifeguard; |
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Data Services. |
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SaaS BI; |
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Application conversion and Business Integration; |
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Why does QueryObject perform and scale so
well? |
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"Using proprietary mathematical algorithms we've
solved the Big Data storage and its fast retrieval
issues". |
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Which are the key advantages QO ensure? |
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QueryObject provides “Plug&Play” integration with existing Data Management system and Information Delivery
applications.
On the back-end side, QueryObject provides seamless connectivity to any source data
(relational, hierarchical, flat, transactional,
warehouse, mainframe).
On the front-end side, QueryObject provides a deployment interface to leverage any existing or new analysis and reporting tool in the enterprise in a web or
client/server infrastructure.
Below main advantage provided: |
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Seamless integration into existing infrastructure |
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Low TCO, (management, hardware, support & development) |
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Selective and secure distribution to both the connected
and disconnected information consumer |
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Scalability up to the largest Terabyte class data
sources |
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Speed of implementation (weeks instead of months). |
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Speed of delivery (the information available when it's
needed). |
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Speed of access (seconds instead of minutes or hours). |
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Fully interactive |
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Fully customizable |
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Multi-channel support |
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| What are
supported standards? |
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ODBC |
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JDBC |
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OLE-DB |
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XML |
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SOAP |
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DES |
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What front-end tools can be used to access the
QueryObjects? Which have been certified as QO
compatible? |
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Any ODBC compliant front-end tool can be used to access
the QueryObjectst. Follow this
link to
have a list of certified thirdy party tools. |
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Is it possible to access a QueryObject using a
proprietary front-end tool? |
| Yes, we
provide proprietary programmers interfaces in C and
Java, as well as standards based interfaces suh as ODBC,
JDBC, OLE-DB, XML. |
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| How can QO be considered a product complementing BI toolkits such as Business Objects or Brio? |
| It can be used as the back-end optimized information store to support ‘speed-of-thought’ analysis on your data using the mentioned tools as a front end. |
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| What front-end tools cab be used to access the QueryObjects? Which have been certified as QO
compatible? |
| Any ODBC compliant front-end tool can be used to access the
QueryObjects. We have certified as compatible Brio, Business
Objects, Cognos PowerPlay, Crystal Reports, Informatica Power
Analyzer, Microsoft Excel, Microstrategy, Pilot, SPSS. |
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What are the QO proprietary processes? |
| Proprietary
access API to QO. The entire data load, data processing
is a proprietary combination of using some well known
and best-of-breed approaches/algorithms. |
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The security of the information contained into a QO is
preserved also if it is detached from the host server
and distributed physically via e-mail or CD-Rom? |
| Yes, you can
use LDAP servers for authenticating user/group logins;
if the server is not available, you can fallback on the
user accounts information stored in the QueryObject own
security management file. |