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FAST/TOOLS R10.01
Release
Tip #2
RDBMS Connectivity
New interfaces to the FAST/TOOLS Enterprise environment

Business Intelligence

As part of its vision to help more people unlock actionable insights
from big data, Yokogawa released an embedded RDBMS engine.
This allows customers to perform more complex queries that crosssection FAST/TOOLS data and integrate that data into their own
Microsoft SQL®, ORACLE® like environments. For big data analytics
and fast insights, this has advantages over traditional methods. Data
that needs to be exposed to foreign databases is first mapped to
local database tables, thereby offloading the supervisory control
system. The shape of these (pre-defined) tables can be defined
(modified) at engineering time, ensuring that only relevant data is
exposed to the customer's database in a way that best suits the
application.

This bi-directional connectivity enables close to real-time
business intelligence. Data can be easily and securely
exchanged between real-time operational FAST/TOOLS
systems and transactional customer business environments in
the same language and format.

The new RDBMS engine contains a "distributor" module that runs on
the same machine as the customer's database and provides an
interface to the mapped tables, allowing them to be used as "linked
server" tables in the customer's RDBMS system. This method
improves data integration by allowing these tables to be queried and
reported in the same way as native tables. FAST/TOOLS RDBMS
engine also works with virtual and cloud IT environments.

When connecting for example to a MS SQL Server all
functionality (see above figure) offered for this environment
becomes instantly available to data collected from
FAST/TOOLS systems. This includes but is not limited to;
Crescent Reporting Services, SharePoint Insights, Cloud
Services, PowerPivot, OData Feeds etc.
Set-up options

Data Read/Write
The RDBMS engine function supports reading of three types of data;
data set records, historical data and current item data. The mapping
of these types of data to the target tables is performed using a dialog
in the engineering module. Insertions, modifications and deletions to
data set records will result in changes to the corresponding mapped
tables. For historical data the data will be polled from data set
services at the specified intervals and is used to populate the target
tables. For item-value data standard aggregated calculations are
made, creating a new record containing the minimum, maximum,
average and number of updates for the specified sampling period.
For writing data back from the RDBMS to FAST/TOOLS, a special
table will be provided that allows the application to update the value,
quality and status of predefined items. The RDBMS engine triggers
on updates in this table to perform the writing of the associated items
in FAST/TOOLS. This can be a requirement when data is calculated
externally by another application and at the same time needs to be
exposed within the FAST/TOOLS environment.
Data Security
There are a number of security aspects associated with this feature
Firstly the data exposed through the RDBMS connector is only data
that has been explicitly mapped at engineering time, including the
items that can be written back by the application. Data that has not
been mapped is simply not available to the application. Secondly
since the tables are exposed through an interface that does not
necessarily has to run on a FAST/TOOLS Host server, the database
administrator is responsible for controlling user access to the linked
tables (GRANT, DENY), without comprising FAST/TOOLS data.

There are several setup options to fit any specific customer and
performance requirements. In the figure below each functional
module operates independently and could be deployed on any
combination between one and three physical (or virtual)
machines.

The connection between the FAST/TOOLS server (left-hand
module) and its RDBMS engine (middle module) is established
via FAST/TOOLS internal secure domain and media
independent communications infrastructure BUS/FAST. This is
achieved in a manner which is similar to making connections
between FAST/TOOLS servers (nodes) in a distributed
architecture. The right-hand module represents the existing
customer RDBMS system that the customer may wish to use in
order to access the FAST/TOOLS data stored within the
embedded RDBMS engine.
In case the FAST/TOOLS server and its RDBMS engine are not
running on the same physical server and network connection is
lost all data will be redirected to a preservation location on the
local disk so that it can be send properly once the connection
has been restored.

Global SCADA Center

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Release tip 2 fast tools r10.01

  • 1. ++ FAST/TOOLS R10.01 Release Tip #2 RDBMS Connectivity New interfaces to the FAST/TOOLS Enterprise environment Business Intelligence As part of its vision to help more people unlock actionable insights from big data, Yokogawa released an embedded RDBMS engine. This allows customers to perform more complex queries that crosssection FAST/TOOLS data and integrate that data into their own Microsoft SQL®, ORACLE® like environments. For big data analytics and fast insights, this has advantages over traditional methods. Data that needs to be exposed to foreign databases is first mapped to local database tables, thereby offloading the supervisory control system. The shape of these (pre-defined) tables can be defined (modified) at engineering time, ensuring that only relevant data is exposed to the customer's database in a way that best suits the application. This bi-directional connectivity enables close to real-time business intelligence. Data can be easily and securely exchanged between real-time operational FAST/TOOLS systems and transactional customer business environments in the same language and format. The new RDBMS engine contains a "distributor" module that runs on the same machine as the customer's database and provides an interface to the mapped tables, allowing them to be used as "linked server" tables in the customer's RDBMS system. This method improves data integration by allowing these tables to be queried and reported in the same way as native tables. FAST/TOOLS RDBMS engine also works with virtual and cloud IT environments. When connecting for example to a MS SQL Server all functionality (see above figure) offered for this environment becomes instantly available to data collected from FAST/TOOLS systems. This includes but is not limited to; Crescent Reporting Services, SharePoint Insights, Cloud Services, PowerPivot, OData Feeds etc. Set-up options Data Read/Write The RDBMS engine function supports reading of three types of data; data set records, historical data and current item data. The mapping of these types of data to the target tables is performed using a dialog in the engineering module. Insertions, modifications and deletions to data set records will result in changes to the corresponding mapped tables. For historical data the data will be polled from data set services at the specified intervals and is used to populate the target tables. For item-value data standard aggregated calculations are made, creating a new record containing the minimum, maximum, average and number of updates for the specified sampling period. For writing data back from the RDBMS to FAST/TOOLS, a special table will be provided that allows the application to update the value, quality and status of predefined items. The RDBMS engine triggers on updates in this table to perform the writing of the associated items in FAST/TOOLS. This can be a requirement when data is calculated externally by another application and at the same time needs to be exposed within the FAST/TOOLS environment. Data Security There are a number of security aspects associated with this feature Firstly the data exposed through the RDBMS connector is only data that has been explicitly mapped at engineering time, including the items that can be written back by the application. Data that has not been mapped is simply not available to the application. Secondly since the tables are exposed through an interface that does not necessarily has to run on a FAST/TOOLS Host server, the database administrator is responsible for controlling user access to the linked tables (GRANT, DENY), without comprising FAST/TOOLS data. There are several setup options to fit any specific customer and performance requirements. In the figure below each functional module operates independently and could be deployed on any combination between one and three physical (or virtual) machines. The connection between the FAST/TOOLS server (left-hand module) and its RDBMS engine (middle module) is established via FAST/TOOLS internal secure domain and media independent communications infrastructure BUS/FAST. This is achieved in a manner which is similar to making connections between FAST/TOOLS servers (nodes) in a distributed architecture. The right-hand module represents the existing customer RDBMS system that the customer may wish to use in order to access the FAST/TOOLS data stored within the embedded RDBMS engine. In case the FAST/TOOLS server and its RDBMS engine are not running on the same physical server and network connection is lost all data will be redirected to a preservation location on the local disk so that it can be send properly once the connection has been restored. Global SCADA Center