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Enhance Business
Intelligence with AS/400 Data Replication Solution
Richard Sinn |
Document Index
Abstract
Competitive advantages can
be obtained by consolidating and analyzing your data for better
business decisions. Learning to uncover and leverage those
advantages is what business intelligence is all about. Enabling your
business intelligence is made possible when you have the right
applications and tools to analyze data, and most importantly, when
the data is prepared in a format suitable for analysis. IBM data
replication solution delivers just thatenterprise data where you
want it, the way you want it. This article describes the inner
working of IBM DataPropagator Relational Capture and Apply for
AS/400 and IBM DataJoiner. With the AS/400 as the core e-business
server, a complete replication solution can be provided with
integrated DataPropagator and DataJoiner running on an NT IPCS. This
empowers the AS/400 as the single point of control to your data.
Introduction
In today's business
enterprises, the demand for current data is a key concern. To make
informed decisions, you need to deliver data into the right hands,
in the right format, and at the right time. IBM's data replication
solution supports business plans including movement to client/server
environments, data warehousing, and business reengineering. Data
replication is the key technology for harnessing the full power and
potential of distributed database environments. IBM DataPropagator
satisfies these replication requirements and more. It delivers data
where you need it!
Data Propagator Relational 5 for AS/400 and other IBM
DataPropagator products running on NT, OS/2, MVS, Solaris, HP/UNIX,
SCO Unix, Linux and AIX are the core components of IBM's data
replication solution. With DataPropagator, you can unite your
distributed relational databases into a cohesive and integrated
database solution. It automatically captures your data changes
against an IBM source database and propagates those changes to any
specified IBM target database, keeping the two consistent.
Compared with high availability products that run synchronously
linking two systems together to provide hot backup, replication runs
asynchronously to allow flexible scheduling when replicating data
files. For example, you could configure DataPropagator to replicate
data every 6 hours and each replication cycle is bounded to 30
minutes. In other words, DataPropagator will only wake up every 6
hours and work for 30 minutes at a time, so you have full control of
how much processing power you wanted to delegate at a specific
system on a specific timing window. Besides, replication can link
multiple systems together for update-anywhere. For example, you
could link ten systems with update-anywhere replication and whenever
there are database file changes in any one of the systems, the
changes will automatically flow to the other nine systems.
Another main component in the Replication solution is IBM's
DataJoiner. DataJoiner provides transparent access for customers
with multiple homogeneous or heterogeneous data sources. It will
also work with DataPropagator to replicate data among different
heterogeneous data sources (DB2 UDB, Oracle, Informix, Microsoft SQL
Server and Microsoft Jet).
With AS/400 as the core e-business server in a business
intelligence environment, Data Propagator/400 can run natively on
the AS/400, and DataJoiner can run on the AS/400 NT IPCS. This
perfect combination provides unmatched functionality and enables the
AS/400 as the focal point for replication solution. The AS/400 can
provide robust, flexible, and efficient data replication that can
maximize the accessibility of reliable data across any enterprise
for transactional applications, business intelligence systems, and
distributed client/server applications. This article describes the
AS/400 data replication solution support and some of the unique
functions provided by the AS/400 such as remote journal replication,
relative record number support, and integration with DataJoiner on
NT IPCS.
DataPropagator Relational 5 for AS/400 and
Replication Solution Overview
DataPropagator
Relational Capture and Apply for AS/400 is an IBM solution for
moving data into the data warehouse. DataPropagator moves data from
DB2 UDB for AS/400 operational systems as well as from any other DB2
family database. DataPropagator allows you full SQL capability as
you move the data-an important feature for creating summarized data,
derived fields, and multiple summarized data marts or data
warehouses.
Being able to capture the data from the operational systems and
to propagate it on a timed basis is another benefit of
DataPropagator. Your business will dictate how often the data
warehouse needs to be refreshed: once a day, once a week, or every
five minutes. The automated apply process handles this so you need
only configure DataPropagator once, and the data warehouse is
refreshed automatically.
Other IBM products that can extract data from non-DB2 data
sources include DataJoiner, DataPropagator Non-Relational, and Data
Refresher. These products can be used in conjunction with
DataPropagator to pull data from IMS, VSAM, and non-IBM relational
databases.
DataPropagator offers full and differential refresh of data
between DB2 UDB for AS/400 and other IBM DB2 systems. Differential
refresh setup enables DataPropagator to replicate only the database
changes (insert, update, delete) from one system to another. For
example, if you update 5 rows in a 1 million rows table, only 5 rows
worth of changes will be replicated across systems. In a full
refresh setting, the whole database table will be replicated
whenever there is a database change. DataPropagator provides robust,
flexible and efficient data replication that can maximize the
accessibility of data across any enterprise whether for
transactional applications, business intelligence systems, and
distributed client/server applications.
DataPropagator and other IBM Data Replication products provide
replication solution designed to help you meet the growing demands
for data across your enterprise by delivering the right data in the
right format into the right hands at the right time. You can use
DataPropagator to do the following:
- Reengineer business processes: Move important data and
applications to the place of the business transaction to improve
business cycle times and customer responsiveness. A lot of times,
these applications must share data with legacy applications on the
host. DataPropagator replication solution can automatically
deliver the shared data to the target platform, accommodating data
restructuring and high-currency requirements and minimizing
network load and availability requirements. Then, you are able to
place the application locally to the business process (for
example, point of sale, inventory, and shipping). Furthermore, you
can replicate the data to and from central servers and other sites
where business processes there need to cooperate.
- Improve decision-making: Empowering your employee's
decision-making authority increases the company competitiveness
directly. To give employees the information they need to make
effective, accurate decisions, businesses are building
decision-support databases and data warehouses. These new
decision-support databases assist in day-to-day decision-making
activities, from determining what items to stock in various
stores, to identifying customer sets for new products.
DataPropagator replication technology can support decision-support
applications by improving data availability, data access
performance, and data usability.
- Increase online throughput: To accommodate business growth,
you may need to off-load query processing to make room for
increasing transaction processing requirements. Off-loading query
processing reduces contention that impacts online transaction
processing (OLTP) response time. DataPropagator is the perfect
tool to off-load your data from the production system to different
targets systems.
- Improve system availability: Businesses are being driven
closer and closer to 24-hour-day availability to maintain
competitiveness and to satisfy customer demands. This puts
significant pressure on the batch window. The batch window often
accommodates planned outages such as database reorganization.
DataPropagator can create backup systems where access can be
redirected during such planned outages. DataPropagator can help
eliminate extract processing from your batch workloads by
replicating data in the background throughout the day.
- Support audit requirements: You may be faced with increasingly
stringent audit requirements. Years of information must be kept in
detail with who changed what and when. DataPropagator can help
provide necessary easily understood audit information, including
user ID, transaction details and other archive histories.
- Broad legacy data support: Broad legacy data support lets
businesses leverage existing assets for client/server
environments: DataPropagator can work hand in hand with
DataRefresher and DataPropagator Nonrelational (IMS) to bring data
from IMS databases, DB2 databases, VSAM datasets, and flat files
to the DB2 family of databases (across MVS, VM, VSE, AS/400®,
AIX®, HP-UX, Windows NT®, the Solaris operating environment, and
OS/2® platforms).
Let's take a look at the different components of DataPropagator.
DataPropagator Components Overview
DataPropagator provides asynchronous replication: the ability to
copy changes from one table to another. The key technology is that
DataPropagator can replicate "changes". There are three autonomous
components: AS/400 Capture, AS/400 Apply, and the Administration
component. Both AS/400 Capture and AS/400 Apply are components of
the DataPropagator Relational Capture and Apply for AS/400 license
program. The installation process of DataPropagator will install
Capture and Apply programs, create all the internal control tables
and internal database triggers without any manual configuration from
the operator. Different types of administration components are
available to fit different enterprise computing environment, we will
discuss them in detail later in the article
Figure 1. DataPropagator - Capture
Figure 2. DataPropagator - Apply
Figure 1. DataPropagator - Capture and Figure 2.
DataPropagator - Apply show the high-level working of AS/400
Capture and AS/400 Apply. The AS/400 Capture program captures
changes from DB2 UDB for AS/400 using database journal entry. The
AS/400 Apply program copies these changes to the target tables. The
administration component sets up the replication environment. There
are three logical servers in DataPropagator architecture. Server in
this context can be defined as logical system holding a specific set
of information. The source server contains the source table, the
target server contains the target table, and the control server
contains the replication control information. Source table is the
database table being watch by AS/400 Capture. All the changes of the
source table will be replicated to the target table. Please note
that all the servers discussed are logical because they could all
physically be on the same system or they could be on separate
systems. The AS/400 Capture component normally resides at the source
server and the AS/400 Apply component can reside anywhere in the
network.
AS/400 Capture
The
AS/400 Capture component captures changes made to the base tables
and puts them into internal staging tables. It captures the changes
by reading the database journal. Source tables can be copied based
on the changes to the tables (differential refresh) rather than
always copying the entire tables (full refresh). The AS/400 Capture,
see Figure
1, timestamps all the changes using DB2 UDB for AS/400 journal
entries and maintains transaction consistency at the same time.
AS/400 Capture then receives database file changes through journal
entries and automatically updates DataPropagator internal staging
tables.
AS/400 Apply
AS/400 Apply is
the run-time copy manager that allows a database to be replicated.
The Apply program runs locally on the copy server: it connects to
the data servers and copies source tables to the local database. The
AS/400 Apply program performs, see Figure
2, full or differential refresh of a target table based on
source-to target rules, which are derived from subscription
information and information generated by AS/400 Capture.
Figure 3. Control Center (CC)
Figure 4. WebCC
Figure 5. DataJoiner Replication Administrator
(DJRA)
Administration components
Administration components allow an administrator to setup
replication. There are three different sets of graphical interfaces
available for customers. They can pick the most suitable
administration tool to use based on computing environment. The first
one is called the Control Center(CC), see Figure
3, which is integrated with IBM Universal Database Version 5. It
is available on NT and OS/2 operating systems. Another one is called
WebCC, which is a Java version of the Control Center, see Figure
4, it provides the look and feel of the Control Center but takes
advantage of the Java capability to run on multiple platforms. A
single user license of DB2 Connect Personal Edition is shipped with
DataPropagator Relational 5 for AS/400, it will contain both WebCC
and Control Center licenses. The other one is called DataJoiner
Replication Administrator (DJRA), see Figure
5. It is integrated with DataJoiner and is also available on the
Web free of charge to licensed DB2 and DataJoiner users. DJRA also
ships with DB2 UDB free of charge. DJRA runs on the NT and Windows
95 operating systems. The replication setup is the same in both the
interfaces, the big difference is that you need DJRA to set up
heterogeneous replication. DJRA also provides some functions that
are not available in Control Center yet.
AS/400 Data Replication Scenario
This section demonstrates using DJRA as the administration
component for AS/400 data replication. Two major steps should be
performed before starting AS/400 Capture and AS/400 Apply:
- Define tables that are replication sources. These replication
sources are called "source table."
- Define "subscriptions" to those replication sources.
Define replication sources
Use DJRA to select the AS/400 system where the source tables are
located. Select the before and after image of the column when
defining a replication source. The process of defining a replication
source is called "registration" in DataPropagator terminology. Users
only register a source table once regardless of how it is going to
be used for distribution. The DJRA will internally create a few
control tables for the user and one of them is called the change
data (CD) table. Such a table is also called the staging table. The
CD table stages all the changes from the source table and waits for
AS/400 Apply to apply the changes. In order to fit different
business intelligence applications, DataPropagator provides vertical
fragmentation of data. Thus, you can select only the required
columns to replicate instead of the whole table. In addition, you
might want to select the before image with the after image of the
column for auditing purposes. For update-anywhere replication, both
the before image and after image are required. Two other options are
available if you are using DB2 UDB for AS/400. They are
"partitioning key support" where an update is broken into a
delete/insert pair, and level of "conflict detection" is also
available to select at the source site for update-anywhere
replication.
Define subscription
After
defining registration, the list of replication sources are shown in
the DJRA. We can then use DJRA to define a subscription based on a
replication source. Subscriptions can be viewed as the relationship
between source tables and target tables. Many subscriptions may
refer to one source table. During this process, you can further
subselect the columns to refine your replication criteria. Advanced
functions such as SQL Before/After and Timing can be set with your
subscription. After the subscription process, a list of replication
sources will be available in the replication subscription session of
DJRA.
AS/400 Capture
There is one
Capture program per AS/400 system. Compared with other log-base
platforms such as AIX, MVS and NT, AS/400 uses journals as the
vehicle for tracking database changes. In most cases, a named
journal is created in an AS/400 library and works with one journal
receiver at a time. A journal can be viewed as a controller of a
journal receiver. When operations (such as SQL insert, update,
delete and other AS/400 operations) are applied to database objects,
the changes (known as journal entries in AS/400) on the database
objects are sent to a journal receiver. In a DataPropagator
environment, AS/400 Capture will read from the database journal and
thus capture the changes, and insert them as rows in the Change
Control (CD) table. There is at most one CD table per registered
source table. Since commitment control is assumed by DataPropagator,
an internal table called ASN/IBMSNAP_UOW (Unit-Of-Work) table is
used to post committed records. All the control tables are created
at installation time or by the administration component. You could
use the Start DPR Capture command to start AS/400 Capture. If
new source tables get registered while the Capture program is
running, you can run the Initialize DPR Capture command for Capture
to recognize newly registered tables.
Internally, the Capture program uses log sequence numbers to
communicate with the Apply process through the UOW and CD tables.
The Apply program can determine up to what point the journal changes
have been captured. CD tables tend to get very large; therefore, the
Capture program has a built-in pruning mechanism for CD and UOW
tables. All pruning by AS/400 Capture is automatic without user
intervention. From the Capture command, a retention limit can be
specified (for example, 7 days) and the Capture program then prunes
the records from the CD and UOW tables even if they have not been
copied by the Apply program. This normally should not happen in
normal replication scenarios unless a subscription has been
deactivated. Another word for sequence numbers is "synchpoints" in
the DataPropagator environment. As mentioned earlier, the Capture
program communicates with the Apply program via these transaction
boundary synchpoints. In case of failure due to communication error
or other system error, AS/400 Capture can be warm-started. A
warm-start means that the program remembers where it was in the
Journal processing when it went down. During warm-start, The Capture
program computes all the warm start information from an internal
table called IBMSNAP_WARM_START. Again, no extra configuration or
administration from users is needed.
AS/400 Apply
The AS/400 Apply
program is an SQL application. Its main job is to copy data from
source to target tables. It can also run SQL statements and call
stored procedures, useful in modifying data and for signaling with
other programs, subscriptions, and Apply processes. Before the
changed data can be copied to target tables, the target tables have
to be synchronized with the source table; therefore the Apply
program does a full refresh of the target table. In other words, all
the data in the source table will be copied to the target table at
replication start time. After a full refresh is done, the Apply
program copies the changes from the join of the CD and UOW tables so
that only the committed data gets propagated. The Apply program can
be run from any server in the network. It can be used to push or
pull data. Pull indicates that Apply is run from where your target
tables are with the logical target server. Push means running Apply
at a server other than the target server and push data into the
target tables. In a Push scenario, Apply can run either on the
source server or control server. The choice of push or pull depends
on computing environment setting and can have some impact on the
performance. Multiple Apply jobs can be run on the same AS/400. Each
Apply job is identified by the Apply_qualifier. The Apply_qualifier
is defined in the subscription process using the DJRA.
Each Apply job reads subscription definitions from the control
server. Apply jobs can share a global control server or have
individual control servers. The ability of having multiple control
servers increases the flexibility in a distributed computing
environment. On the other hand, central management administration
favors having just one control server. Better performance can be
achieved if the Apply job is run from the control server. Multiple
Apply jobs can be used to serve the same target server in order to
increase throughput.
Replication features to support distributed
computing
The following advanced features are
available in Data Propagator/400 to service different companies in
enterprise computing.
Depending on computing environment, it is not uncommon to have a
lot of data needed to replicate by the Apply program. Using the
blocking factor, the Apply program splits the answer set by
timeframe instead of size. The timeframe is called max_synch_minutes
and is defaulted to 30 minutes. As a result, Apply copies data 30
minutes at a time. If the answer set is too large, the Apply program
automatically divides it into smaller blocks.
Remote journal and relative record number
replication
Figure 6. Remote Journaling
Remote journaling provides high-performance (microcode level)
journaling of database record changes. Supported on a system level
on the AS/400, remote journaling involves storing journal receivers
on a remote system, providing better plumbing for data replication
and high availability solutions. A remote journal can transport
journal entries over SNA- or TCP/IP-based networks, in addition to
clustered AS/400 configurations using OptiConnect. DataPropagator
takes advantage of the AS/400 remote journal capabilities. Its
support for remote journaling allows it to more quickly replicate
data changes to your AS/400 data warehouse, as well as reduce the
load on your transaction system. With remote journal, Apply and
Capture can run on the same system and free up any resource used by
DataPropagator on the operational AS/400 system. The Apply program
will also have local access to a staging area that eliminates
network and file processing.
Relative record number replication support is also available to
address the problem where a unique key could not be found for a copy
table. It allows a user to have a unique key for CCD and
point-in-time target tables when no combination of target columns is
unique.
Using IBM DataPropagator
To
recap the replication process, AS/400 Capture reads the register
table to find out which source tables it needs to start capturing
changes for. It then reads the database journal and inserts
necessary rows in the CD table and UOW table. There is one CD table
per source table, and one UOW table per source server. On the other
hand, the Apply program reads the subscription table to identify
which subscription sets belong to an Apply qualifier, and it reads
the register table to identify the source tables from which it needs
to copy data from. AS/400 Apply then communicates full refresh
information with AS/400 Capture using one of the staging tables'
synchpoint values. After full refresh, the Apply program starts
copying from the join of the CD table and the UOW table, and updates
the synchpoint to indicate how far it has copied. These synchpoints
are also taken into account when the Capture program prunes the CD
and UOW tables.
Multiplatform Replication
So
far we have only discussed replication between two AS/400 systems.
It is very common for customers to have heterogeneous data residing
on different platforms. Replication over heterogeneous data sources
is often needed to deliver data where you want it. If you deploy an
NT Integrated PC Server (IPCS) with your AS/400, heterogeneous data
access can be achieved by using DataJoiner.
IBM's DataJoiner provides DB2 UDB for AS/400 with access to a
wide variety of databases; this includes the DB2 Family as well as
non-DB2 databases such as Oracle and SQL Server. DB2 UDB for AS/400
utilizes Data Joiner's capabilities with simple DRDA SQL requests.
Once server mappings and nicknames have been defined in DataJoiner,
the AS/400 SQL requests will look identical to accessing a remote
DB2 UDB for AS/400 server. IBM DataJoiner can be run with the AS/400
on an NT IPCS: the combination of DataJoiner on NT IPCS and AS/400
gives a new meaning to database middleware. It not only provides
heterogeneous data access but also lets you do joins and to update
data from different sources. Most importantly, running DataJoiner on
NT IPCS makes the AS/400 the single point of control for your data.
You can access heterogeneous datasets while enjoying the integration
maintenance features of IPCS at the same time.
With DataJoiner running on the NT IPCS, DataPropagator can use
its capabilities to transparently exchange data with non-DB2 data
sources. This integrated solution makes it easier to populate your
AS/400 data warehouse with any business information in your
organization, regardless of what database or server is storing your
information.
Key features of DataJoiner includes:
- Access to non-DB2 data sources. With DataJoiner there is only
one SQL interface to deal with. DataJoiner databases look and act
like DB2 to users or application programs. Programmers do not have
to learn different data sources and different commands.
- Ability to join IBM or non-IBM data.
- Better performance with optimization in global query rewrite.
The Datajoiner optimizer considers the relative Central Processing
Unit (CPU) speed of each data source, the relative I/O speed, and
the relative network bandwidth. It then combines these factors to
decide which code path to execute.
- Ability to update data on multiple systems using a single
transaction.
- If used with DataPropagator, DataJoiner has the ability to
replicate from DB2 or non-DB2 sources to DB2 or non-DB2 sources.
In other words, deliver any data, anywhere you want.
- DB2 Spatial Extender allows you to query the spatial
information. DataJoiner allows the mixing of spatial data and
traditional data in the same table, which is stored locally on
DataJoiner. It recognizes all DB2 extender features.
- In addition to simplifying the data manipulation language
(DML) against heterogenous data sources, DataJoiner also provides
data definition language (DDL) transparency. You can issue a DDL
against Oracle, using DB2 syntax, and DataJoiner will translate it
for you.
- More powerful applications can be built since DataJoiner
supports the joining of multiple databases.
Figure 7. Data Replication Solution
Putting DataPropagator with DataJoiner provides a complete Data
Replication solution for small and big companies. DataPropagator
with DataJoiner allows you to replicate data from or to non-DB2
sources. The non-DB2 Capture program is trigger-based instead of
journal-based. Instead of using CD and UOW tables to store the
changes, it uses condensed CCD tables. The Apply program is
identical to the one used in homogeneous replication. It is packaged
with DataJoiner for Windows NT or for AIX. There is no code change
to the Apply program because it works in the nickname namespace, and
all the data and tables look like DB2 to the Apply program. Instead
of using the Control Center, you use the DataJoiner Replication
Administrator (DJRA), see Figure
5, for setup and administration tasks. DJRA is packaged with DB2
UDB and with DataJoiner for NT or AIX. You perform the same steps as
you did for homogeneous replication: create control tables at the
logical source server, control server, and target server. When DJRA
recognizes that DataJoiner is defined to go to a non-DB2 source
(such as Oracle or Informix), it creates a register and other
staging tables at the source server using the set pass through
function of DataJoiner. It then creates the nicknames for
replication control tables in the DataJoiner database. During the
registration process, the triggers and the CCD table get created.
Then, the nickname for the CCD is created in the DataJoiner
database. During the subscription timeframe, if the target server is
non-DB2, a target table is created using the set pass through
function, and a nickname is also automatically created for it in the
DataJoiner database.
Since logs or journals of non-IBM DBMS cannot be read by
DataPropagator, changes are captured using triggers. Triggers are
SQL code that are invoked when insert, update, or delete statement
are processed. All source tables that are registered using DJRA have
triggers created for them that wait for insert, update, and delete
events. Whenever one of these events is committed, the trigger code
becomes active and inserts the rows in the CCD table. You can select
certain columns to be replicated, and you can select the before
image of each column in addition to the after image.
In heterogeneous replication, there is no Capture program. As a
result, an update trigger on a staging table is used to prune the
CCD tables. After the subscription set is processed, Apply updates
the synchtime of the ASN/IBMSNAP_PRUNCNTL table. This trigger logic
will check the CCD and prune the data that already has been copied
by Apply. In the homogeneous environment, the key point of the
handshake between Capture and Apply is via the synchpoint. In
heterogeneous replication, Apply posts hexadecimal zeros in the
synchpoint column of the IBMSNAP_PRUNCNTL table before it does a
full refresh, the update trigger on the IBMSNAP_PRUNCNTL table looks
for the hexadecimal zeros and updates to the sequence number up to
the point that the triggers have captured the committed data.
The Apply program needs to know the upper limit of the data
captured at the source server. The upper limit is to be in the
synchpoint of the IBMSNAP_REGISTER table. This is done via the
update trigger on another DPROPR global table called,
IBMSNAP_REG_SYNCH. This table is only for the non-DB2 sources. The
update trigger updates the synchpoints of the register table with
the next sequence number. The event that triggers this trigger in
turn uses the SQL programming capability of the DataPropagator for
processing the data changes. During the subscription process, when
DJRA is aware that source is Oracle, Informix, Sybase, MS SQL
Server, it will store an update statement against the
IBMSNAP_REG_SYNCH table with a column name called trigger_me. Apply
executes this statement before it opens its cursors to read the
IBMSNAP_REGISTER information. Therefore, Apply gathers the
information from the register table and gets the upper limit of the
CCDs.
Figure 8. Heterogeneous Replication
Process
Figure
8 shows the complete heterogeneous replication process for
non-DB2 sources. There are update, insert, and delete triggers on
every registered source table. These triggers insert rows in the CCD
table. There is one CCD table per source table. Three replication
control tables are created in the data source. There is an update
trigger on the IBMSNAP_PRUNCNTL table, which is a recursive trigger
that does the initial handshake and then prunes the CCD table. The
update trigger on the IBMSNAP_REG_SYNCH updates the synchpoint of
the register table. In a DataJoiner database there is a nickname for
each source table. The Apply program uses this nickname to do a full
refresh. A nickname is created for the CCD table as well. The Apply
program does the differential refresh from that nickname. It also
issues the update statement against the nickname
ASN.IBMSNAP_REG_SYNCH table.
Putting it together on the
AS/400
Finally, you can realize the true
potentials of your data! DataJoiner provides the gateway to
heterogeneous data environments. IBM DataPropagator and other IBM
replication products in the same architecture provide DB2
replication solutions. Putting IBM DataPropagator and DataJoiner
together enable an advanced comprehensive replication solution to
move your data from anywhere to anywhere. With the AS/400 as the
core e-business server, DataPropagator can be integrated and
DataJoiner can run on an NT IPCS. This empowers the AS/400 as the
single point of control to your data. You not only can access all
kinds of data from the AS/400, but also enjoy a lower cost of
ownership with the integration maintenance features of NT IPCS.
Reference
IBM DB2
Replication Guide and Reference at http://publib.boulder.ibm.com/html/as400/onlinelib.htm
IBM DB2 DataPropagator Home Page at http://www.ibm.com/software/data/dpropr