SlideShare a Scribd company logo
1 of 13
Download to read offline
World Bank & Government of The Netherlands funded
Training module # SWDP - 49
How to transfer data from
temporary to permanent
databases
New Delhi, February 2002
CSMRS Building, 4th Floor, Olof Palme Marg, Hauz Khas,
New Delhi – 11 00 16 India
Tel: 68 61 681 / 84 Fax: (+ 91 11) 68 61 685
E-Mail: hydrologyproject@vsnl.com
DHV Consultants BV & DELFT HYDRAULICS
with
HALCROW, TAHAL, CES, ORG & JPS
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 1
Table of contents
Page
1. Module context 2
2. Module profile 3
3. Session plan 4
4. Overhead/flipchart master 5
5. Handout 6
6. Additional handout 8
7. Main text 9
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 2
1. Module context
While designing a training course, the relationship between this module and the others,
would be maintained by keeping them close together in the syllabus and place them in a
logical sequence. The actual selection of the topics and the depth of training would, of
course, depend on the training needs of the participants, i.e. their knowledge level and skills
performance upon the start of the course.
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 3
2. Module profile
Title : How to transfer data from temporary to permanent databases
Target group : HIS function(s): ……
Duration : x session of y min
Objectives : After the training the participants will be able to:
Key concepts : •
Training methods : Lecture, exercises
Training tools
required
: Board, flipchart
Handouts : As provided in this module
Further reading
and references
:
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 4
3. Session plan
No Activities Time Tools
1 Preparations
2 Introduction: min OHS x
Exercise min
Wrap up min
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 5
4. Overhead/flipchart master
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 6
5. Handout
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 7
Add copy of the main text in chapter 7, for all participants
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 8
6. Additional handout
These handouts are distributed during delivery and contain test questions, answers to
questions, special worksheets, optional information, and other matters you would not like to
be seen in the regular handouts.
It is a good practice to pre-punch these additional handouts, so the participants can easily
insert them in the main handout folder.
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 9
7. Main text
Contents
1 Data transfer from temporary datasets to
permanent datasets 1
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 1
How to transfer data from temporary to permanent databases
1 Data transfer from temporary datasets to permanent datasets
1.1 Transferring raw data from SDPCs/RDPCs to SDSCs/RDSCs
Under HIS the data processing and the data storage functions are separated. The raw and
processed data sets are to be archived at various data storage centres (DSCs) of state and
central agencies. The availability of raw data at the DSCs, as permanent databases, is
purely for the purpose of long term archival and for limited dissemination for specific
purposes, if required. The raw data as prepared in SWDES workareas at various SDDPCs is
routed through the controlling DDPC and is finally available at the SDPC/RDPC. A copy of
the same is also kept at the DDPCs for ready reference at the time of data validation. At
DDPCs and SDPCs/RDPCs all the raw data is available in distinct SWDES workareas for
each SDDPC separately in one single file.
The raw data available at SDPCs is in the temporary databases of SWDES. This data is to
be transferred to the permanent database(s) of the respective DSCs using dedicated data
storage software (under procurement process). The databases in the DSCs will make use of
the uniform data structure in an Oracle database environment to be compatible with the
selected database system for the dedicated groundwater data processing system (presently
under procurement) & surface water data processing system (HYMOS). This data storage
application software will be developed to carry out all required database functions in all
SDSCs/RDSCs/NDSCs. The data storage software will be standard, uniform and generic in
nature having all necessary auxiliary features like user authentication and management,
access control, data integrity and encryption etc. Though the detailed specifications are
under development and its subsequent procurement and implementation will take some
more time from now (i.e. January 2001), it is attempted here, in the following paragraphs, as
how the transfer of the raw data from the side of the SDPCs/RDPCs would be made.
Though the exact procedure of import of these transfer data into the permanent database(s)
by the data storage system would be known only after the system is fully defined. However,
such import functionality would obviously have all the standard features required for import
of new data streams like sender’s authentication, data comparison, data integrity etc. No
attempt, except for a brief mention, is therefore being made here to further elaborate on this
aspect.
1.1.1 Export of raw data from SDPCs/RDPCs to transfer databases
The incremental SWDES transfer datasets, containing raw data, arriving at SDPCs/RDPCs
from the DDPCs are used for two purposes: (a) transferring raw data from SDPCs/RDPCs to
respective SDSCs/RDSCs and (b) regularly consolidating in respective SWDES workareas
for use at SDPCs/RDPCs for reference.
Normally, as a regular routine monthly transfer of incremental data sets from SDDPCs would
be available at DDPCs by around 13th
of each month. From the DDPCs, similar incremental
databases are transferred to the corresponding SDPCs/RDPCs (by 15th
of the same month).
After the receipt of these incremental transfer databases, they are transferred to the
SDSC/RDSC by around 20th
of every month. By the same time consolidation of these
transfer workareas is also made in the respective SWDES workarea for each SDDPC
separately.
For transfer of incremental raw datasets as received from the DDPCs to the DSCs, first the
workareas are registered in SWDES and then using the option of “Export of data to HYMOS
(in “.mdb” format)” is used to make an intermediate transfer dataset. This transfer dataset
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 2
will be in MS Access database structure and would be used for import into the permanent
databases by the data storage system.
A uniform guideline may be followed for assigning file names to such transfer workareas
being sent from the SDPCs/RDPCs to the respective SDSCs/RDSCs. This will be highly
beneficial in recognising the transfer workarea by merely knowing its filename. The
filenames to be used for such transfer workareas are recommended to be based on: (a) a
string “TRANnn”, (b) yymmdd and (c) name of the parent workarea as used at SDPC/RDPC.
Here “nn” in the string is any number used for adequately distinguishing different transfer
workareas of the same date and “parent” workarea is the one from which the transfer is
being made.
1.1.2 Import of raw data from transfer databases into SDSCs/RDSCs
The transfer databases prepared by the SDPCs/RDPCs pertaining to each SDDPC
separately, for the period beyond the last such transfer, are imported by the data storage
system available at DSCs. The details of the import procedure would be available only when
the design of the system being procured is fully known and hence is not further elaborated
here.
1.2 Transferring processed data from SDPCs/RDPCs to SDSCs/RDSCs
At the SDPCs/RDPCs, the whole state or a very large drainage region is under the
jurisdiction. The state would include parts or full of one or more independent river basins
whereas the regions of CWC being based on the river basins would include one or more
complete independent river basins. There are two types of workareas for processed data at
the SDPCs/RDPCs: (a) workareas for the individual independent river basins or part thereof
within the state and (b) unified workarea for data of the whole state/region together (having
only finalised/summary data).
Transfer of data between SDPCs/RDPCs and the respective SDSCs/RDSCs will be
accomplished, as a routine, from the workareas maintaining data of individual independent
river basins or part thereof.. Since these workareas would have all the detailed authenticated
data, these will be used as the nodal databases for exchange of authenticated data from
SDPCs/RDPCs to the respective SDSCs/RDSCs. The processed data from DDPCs are
available at SDPCs/RDPCs by the 1st
of the second month after the month of observation. At
SDPCs/RDPCs hydrological validation will be carried out and also data would be compiled in
various forms as authenticated data. Such processing would be over by the end of the
month and at that time (i.e. by 30th
of the second month after the month of observation)
these finalised data are transferred to SDSCs/RDSCs.
For this, transfer databases from each of the available individual workareas in HYMOS will
be made. Such transfer data shall also be prepared by using the “Export transfer database”
option in exactly same manner as explained earlier in the sections on “transfer of processed
data between temporary databases”.
A uniform guideline can be followed for naming these transfer databases for an easy
recognition. The filenames to be used for these transfer databases are recommended to be
based on: (a) a string “EXPOnn”, (b) yymmdd and (c) name of the parent workarea. Here
“nn” in the string is any number used for adequately distinguishing different transfer
databases of the same date and “parent” workarea is the one from which the transfer is
being made. Obviously the details of naming of such transfer databases is dependent on the
type of protocol with the data storage system and therefore may differe from what is
prescribed here on the basis on actual details of the system. However, idea of a uniform
HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 3
guideline for naming such transfer file is generic and that the basis may differ due to actual
requirements.
As soon as these transfer databases are made available to the SDSCs/RDSCs, these will be
imported in the permanent databases after all necessary requirements of protocol like
sender’s identification, authorisation, data comparison, integrity etc. are fulfilled. The details
of such import options are not discussed here as the system is yet to be fully defined and
developed.

More Related Content

What's hot

Method and apparatus for scheduling resources on a switched underlay network
Method and apparatus for scheduling resources on a switched underlay networkMethod and apparatus for scheduling resources on a switched underlay network
Method and apparatus for scheduling resources on a switched underlay networkTal Lavian Ph.D.
 
IRJET- HHH- A Hyped-up Handling of Hadoop based SAMR-MST for DDOS Attacks...
IRJET-  	  HHH- A Hyped-up Handling of Hadoop based SAMR-MST for DDOS Attacks...IRJET-  	  HHH- A Hyped-up Handling of Hadoop based SAMR-MST for DDOS Attacks...
IRJET- HHH- A Hyped-up Handling of Hadoop based SAMR-MST for DDOS Attacks...IRJET Journal
 
RobinDuda_GustafNilstadius_ExRapport_final
RobinDuda_GustafNilstadius_ExRapport_finalRobinDuda_GustafNilstadius_ExRapport_final
RobinDuda_GustafNilstadius_ExRapport_finalGustaf Nilstadius
 
NameNode and DataNode Coupling for a Power-proportional Hadoop Distributed F...
NameNode and DataNode Couplingfor a Power-proportional Hadoop Distributed F...NameNode and DataNode Couplingfor a Power-proportional Hadoop Distributed F...
NameNode and DataNode Coupling for a Power-proportional Hadoop Distributed F...Hanh Le Hieu
 
BDAS RDD study report v1.2
BDAS RDD study report v1.2BDAS RDD study report v1.2
BDAS RDD study report v1.2Stefanie Zhao
 
IRJET- Generate Distributed Metadata using Blockchain Technology within HDFS ...
IRJET- Generate Distributed Metadata using Blockchain Technology within HDFS ...IRJET- Generate Distributed Metadata using Blockchain Technology within HDFS ...
IRJET- Generate Distributed Metadata using Blockchain Technology within HDFS ...IRJET Journal
 
RACAttack 12c Advanced Lab: Server Pools and Policy-managed databases
RACAttack 12c Advanced Lab: Server Pools and Policy-managed databasesRACAttack 12c Advanced Lab: Server Pools and Policy-managed databases
RACAttack 12c Advanced Lab: Server Pools and Policy-managed databasesLudovico Caldara
 
Parallel Data Processing with MapReduce: A Survey
Parallel Data Processing with MapReduce: A SurveyParallel Data Processing with MapReduce: A Survey
Parallel Data Processing with MapReduce: A SurveyKyong-Ha Lee
 
Hadoop Mapreduce Performance Enhancement Using In-Node Combiners
Hadoop Mapreduce Performance Enhancement Using In-Node CombinersHadoop Mapreduce Performance Enhancement Using In-Node Combiners
Hadoop Mapreduce Performance Enhancement Using In-Node Combinersijcsit
 
A Survey on Different File Handling Mechanisms in HDFS
A Survey on Different File Handling Mechanisms in HDFSA Survey on Different File Handling Mechanisms in HDFS
A Survey on Different File Handling Mechanisms in HDFSIRJET Journal
 
The Apache Cassandra ecosystem
The Apache Cassandra ecosystemThe Apache Cassandra ecosystem
The Apache Cassandra ecosystemAlex Thompson
 
Iaetsd mapreduce streaming over cassandra datasets
Iaetsd mapreduce streaming over cassandra datasetsIaetsd mapreduce streaming over cassandra datasets
Iaetsd mapreduce streaming over cassandra datasetsIaetsd Iaetsd
 

What's hot (19)

Hadoop - Introduction to mapreduce
Hadoop -  Introduction to mapreduceHadoop -  Introduction to mapreduce
Hadoop - Introduction to mapreduce
 
Method and apparatus for scheduling resources on a switched underlay network
Method and apparatus for scheduling resources on a switched underlay networkMethod and apparatus for scheduling resources on a switched underlay network
Method and apparatus for scheduling resources on a switched underlay network
 
IRJET- HHH- A Hyped-up Handling of Hadoop based SAMR-MST for DDOS Attacks...
IRJET-  	  HHH- A Hyped-up Handling of Hadoop based SAMR-MST for DDOS Attacks...IRJET-  	  HHH- A Hyped-up Handling of Hadoop based SAMR-MST for DDOS Attacks...
IRJET- HHH- A Hyped-up Handling of Hadoop based SAMR-MST for DDOS Attacks...
 
RobinDuda_GustafNilstadius_ExRapport_final
RobinDuda_GustafNilstadius_ExRapport_finalRobinDuda_GustafNilstadius_ExRapport_final
RobinDuda_GustafNilstadius_ExRapport_final
 
NameNode and DataNode Coupling for a Power-proportional Hadoop Distributed F...
NameNode and DataNode Couplingfor a Power-proportional Hadoop Distributed F...NameNode and DataNode Couplingfor a Power-proportional Hadoop Distributed F...
NameNode and DataNode Coupling for a Power-proportional Hadoop Distributed F...
 
Srinivasan2-10-12
Srinivasan2-10-12Srinivasan2-10-12
Srinivasan2-10-12
 
BDAS RDD study report v1.2
BDAS RDD study report v1.2BDAS RDD study report v1.2
BDAS RDD study report v1.2
 
Hadoop
HadoopHadoop
Hadoop
 
IRJET- Generate Distributed Metadata using Blockchain Technology within HDFS ...
IRJET- Generate Distributed Metadata using Blockchain Technology within HDFS ...IRJET- Generate Distributed Metadata using Blockchain Technology within HDFS ...
IRJET- Generate Distributed Metadata using Blockchain Technology within HDFS ...
 
RACAttack 12c Advanced Lab: Server Pools and Policy-managed databases
RACAttack 12c Advanced Lab: Server Pools and Policy-managed databasesRACAttack 12c Advanced Lab: Server Pools and Policy-managed databases
RACAttack 12c Advanced Lab: Server Pools and Policy-managed databases
 
70 640
70 64070 640
70 640
 
H04502048051
H04502048051H04502048051
H04502048051
 
Parallel Data Processing with MapReduce: A Survey
Parallel Data Processing with MapReduce: A SurveyParallel Data Processing with MapReduce: A Survey
Parallel Data Processing with MapReduce: A Survey
 
Hadoop Mapreduce Performance Enhancement Using In-Node Combiners
Hadoop Mapreduce Performance Enhancement Using In-Node CombinersHadoop Mapreduce Performance Enhancement Using In-Node Combiners
Hadoop Mapreduce Performance Enhancement Using In-Node Combiners
 
Hadoop
HadoopHadoop
Hadoop
 
A Survey on Different File Handling Mechanisms in HDFS
A Survey on Different File Handling Mechanisms in HDFSA Survey on Different File Handling Mechanisms in HDFS
A Survey on Different File Handling Mechanisms in HDFS
 
Hadoop
HadoopHadoop
Hadoop
 
The Apache Cassandra ecosystem
The Apache Cassandra ecosystemThe Apache Cassandra ecosystem
The Apache Cassandra ecosystem
 
Iaetsd mapreduce streaming over cassandra datasets
Iaetsd mapreduce streaming over cassandra datasetsIaetsd mapreduce streaming over cassandra datasets
Iaetsd mapreduce streaming over cassandra datasets
 

Viewers also liked

Download-manuals-water quality-wq-manuals-49qualityassuranceandwithinlaborat...
 Download-manuals-water quality-wq-manuals-49qualityassuranceandwithinlaborat... Download-manuals-water quality-wq-manuals-49qualityassuranceandwithinlaborat...
Download-manuals-water quality-wq-manuals-49qualityassuranceandwithinlaborat...hydrologyproject0
 
Download-manuals-surface water-software-48appliedstatistics
 Download-manuals-surface water-software-48appliedstatistics Download-manuals-surface water-software-48appliedstatistics
Download-manuals-surface water-software-48appliedstatisticshydrologyproject0
 
Download-manuals-surface water-software-processingofstreamflowdata
 Download-manuals-surface water-software-processingofstreamflowdata Download-manuals-surface water-software-processingofstreamflowdata
Download-manuals-surface water-software-processingofstreamflowdatahydrologyproject0
 
Download-manuals-water quality-wq-training-hiswqtrainingspecifications
 Download-manuals-water quality-wq-training-hiswqtrainingspecifications Download-manuals-water quality-wq-training-hiswqtrainingspecifications
Download-manuals-water quality-wq-training-hiswqtrainingspecificationshydrologyproject0
 
Proceedings of technical papers
Proceedings of technical papersProceedings of technical papers
Proceedings of technical papershydrologyproject0
 
Gw02 role of dwlr data in groundwater resource estimation
Gw02 role of dwlr data in groundwater resource estimationGw02 role of dwlr data in groundwater resource estimation
Gw02 role of dwlr data in groundwater resource estimationhydrologyproject0
 
Ch sw water availibility study and supply demand analysis in kharun sub basin...
Ch sw water availibility study and supply demand analysis in kharun sub basin...Ch sw water availibility study and supply demand analysis in kharun sub basin...
Ch sw water availibility study and supply demand analysis in kharun sub basin...hydrologyproject0
 
World bank mission may 5 6, 2014
World bank mission may 5 6, 2014World bank mission may 5 6, 2014
World bank mission may 5 6, 2014hydrologyproject0
 
Download-manuals-surface water-manual-sw-volume3fieldmanualhydro-meteorology...
 Download-manuals-surface water-manual-sw-volume3fieldmanualhydro-meteorology... Download-manuals-surface water-manual-sw-volume3fieldmanualhydro-meteorology...
Download-manuals-surface water-manual-sw-volume3fieldmanualhydro-meteorology...hydrologyproject0
 
Download-manuals-water quality-wq-training-29advancedaquaticchemistrysolubil...
 Download-manuals-water quality-wq-training-29advancedaquaticchemistrysolubil... Download-manuals-water quality-wq-training-29advancedaquaticchemistrysolubil...
Download-manuals-water quality-wq-training-29advancedaquaticchemistrysolubil...hydrologyproject0
 
Download-manuals-water quality-wq-training-30advancedaquaticchemistry
 Download-manuals-water quality-wq-training-30advancedaquaticchemistry Download-manuals-water quality-wq-training-30advancedaquaticchemistry
Download-manuals-water quality-wq-training-30advancedaquaticchemistryhydrologyproject0
 
Nih sw impact of sewage effluent of drinking water sources of shimla city and...
Nih sw impact of sewage effluent of drinking water sources of shimla city and...Nih sw impact of sewage effluent of drinking water sources of shimla city and...
Nih sw impact of sewage effluent of drinking water sources of shimla city and...hydrologyproject0
 

Viewers also liked (15)

Download-manuals-water quality-wq-manuals-49qualityassuranceandwithinlaborat...
 Download-manuals-water quality-wq-manuals-49qualityassuranceandwithinlaborat... Download-manuals-water quality-wq-manuals-49qualityassuranceandwithinlaborat...
Download-manuals-water quality-wq-manuals-49qualityassuranceandwithinlaborat...
 
Download-manuals-surface water-software-48appliedstatistics
 Download-manuals-surface water-software-48appliedstatistics Download-manuals-surface water-software-48appliedstatistics
Download-manuals-surface water-software-48appliedstatistics
 
Download-manuals-surface water-software-processingofstreamflowdata
 Download-manuals-surface water-software-processingofstreamflowdata Download-manuals-surface water-software-processingofstreamflowdata
Download-manuals-surface water-software-processingofstreamflowdata
 
Himachal may, 2014
Himachal  may, 2014Himachal  may, 2014
Himachal may, 2014
 
Download-manuals-water quality-wq-training-hiswqtrainingspecifications
 Download-manuals-water quality-wq-training-hiswqtrainingspecifications Download-manuals-water quality-wq-training-hiswqtrainingspecifications
Download-manuals-water quality-wq-training-hiswqtrainingspecifications
 
Cwc
CwcCwc
Cwc
 
Proceedings of technical papers
Proceedings of technical papersProceedings of technical papers
Proceedings of technical papers
 
Gw02 role of dwlr data in groundwater resource estimation
Gw02 role of dwlr data in groundwater resource estimationGw02 role of dwlr data in groundwater resource estimation
Gw02 role of dwlr data in groundwater resource estimation
 
Ch sw water availibility study and supply demand analysis in kharun sub basin...
Ch sw water availibility study and supply demand analysis in kharun sub basin...Ch sw water availibility study and supply demand analysis in kharun sub basin...
Ch sw water availibility study and supply demand analysis in kharun sub basin...
 
World bank mission may 5 6, 2014
World bank mission may 5 6, 2014World bank mission may 5 6, 2014
World bank mission may 5 6, 2014
 
Final gw handbook 180514
Final gw handbook 180514Final gw handbook 180514
Final gw handbook 180514
 
Download-manuals-surface water-manual-sw-volume3fieldmanualhydro-meteorology...
 Download-manuals-surface water-manual-sw-volume3fieldmanualhydro-meteorology... Download-manuals-surface water-manual-sw-volume3fieldmanualhydro-meteorology...
Download-manuals-surface water-manual-sw-volume3fieldmanualhydro-meteorology...
 
Download-manuals-water quality-wq-training-29advancedaquaticchemistrysolubil...
 Download-manuals-water quality-wq-training-29advancedaquaticchemistrysolubil... Download-manuals-water quality-wq-training-29advancedaquaticchemistrysolubil...
Download-manuals-water quality-wq-training-29advancedaquaticchemistrysolubil...
 
Download-manuals-water quality-wq-training-30advancedaquaticchemistry
 Download-manuals-water quality-wq-training-30advancedaquaticchemistry Download-manuals-water quality-wq-training-30advancedaquaticchemistry
Download-manuals-water quality-wq-training-30advancedaquaticchemistry
 
Nih sw impact of sewage effluent of drinking water sources of shimla city and...
Nih sw impact of sewage effluent of drinking water sources of shimla city and...Nih sw impact of sewage effluent of drinking water sources of shimla city and...
Nih sw impact of sewage effluent of drinking water sources of shimla city and...
 

Similar to Download-manuals-surface water-software-49howtotransferdatafromtemporarytopermanentdatabase

Download-manuals-surface water-software-50howtoworkwithhymo-sinanetworkenvir...
 Download-manuals-surface water-software-50howtoworkwithhymo-sinanetworkenvir... Download-manuals-surface water-software-50howtoworkwithhymo-sinanetworkenvir...
Download-manuals-surface water-software-50howtoworkwithhymo-sinanetworkenvir...hydrologyproject0
 
Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage
 Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage
Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstoragehydrologyproject001
 
Download-manuals-surface water-software-03understandingswd-pplan
 Download-manuals-surface water-software-03understandingswd-pplan Download-manuals-surface water-software-03understandingswd-pplan
Download-manuals-surface water-software-03understandingswd-pplanhydrologyproject001
 
Download-manuals-surface water-software-02understandingswd-pactivitiesunderhis
 Download-manuals-surface water-software-02understandingswd-pactivitiesunderhis Download-manuals-surface water-software-02understandingswd-pactivitiesunderhis
Download-manuals-surface water-software-02understandingswd-pactivitiesunderhishydrologyproject001
 
Looking for SDTM migration specialist
Looking for SDTM migration specialistLooking for SDTM migration specialist
Looking for SDTM migration specialistAngelo Tinazzi
 
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
 Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin... Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...hydrologyproject001
 
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
 Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin... Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...hydrologyproject001
 
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
 Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin... Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...hydrologywebsite1
 
Introduction to yarn N.Nandhitha II M.Sc., computer science Bon secours colle...
Introduction to yarn N.Nandhitha II M.Sc., computer science Bon secours colle...Introduction to yarn N.Nandhitha II M.Sc., computer science Bon secours colle...
Introduction to yarn N.Nandhitha II M.Sc., computer science Bon secours colle...Nandhitha B
 
DesignOfAnExtensibleTelemetry&CommandArcitectureForSmallSatellites
DesignOfAnExtensibleTelemetry&CommandArcitectureForSmallSatellitesDesignOfAnExtensibleTelemetry&CommandArcitectureForSmallSatellites
DesignOfAnExtensibleTelemetry&CommandArcitectureForSmallSatellitesBrenden Hogan
 
Introduction to yarn B.Nandhitha 2nd M.sc., computer science,Bon secours coll...
Introduction to yarn B.Nandhitha 2nd M.sc., computer science,Bon secours coll...Introduction to yarn B.Nandhitha 2nd M.sc., computer science,Bon secours coll...
Introduction to yarn B.Nandhitha 2nd M.sc., computer science,Bon secours coll...Nandhitha B
 
Database 2 ddbms,homogeneous & heterognus adv & disadvan
Database 2 ddbms,homogeneous & heterognus adv & disadvanDatabase 2 ddbms,homogeneous & heterognus adv & disadvan
Database 2 ddbms,homogeneous & heterognus adv & disadvanIftikhar Ahmad
 
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...The HDF-EOS Tools and Information Center
 
Software architecture case study - why and why not sql server replication
Software architecture   case study - why and why not sql server replicationSoftware architecture   case study - why and why not sql server replication
Software architecture case study - why and why not sql server replicationShahzad
 
From Relational Database Management to Big Data: Solutions for Data Migration...
From Relational Database Management to Big Data: Solutions for Data Migration...From Relational Database Management to Big Data: Solutions for Data Migration...
From Relational Database Management to Big Data: Solutions for Data Migration...Cognizant
 

Similar to Download-manuals-surface water-software-49howtotransferdatafromtemporarytopermanentdatabase (20)

Download-manuals-surface water-software-50howtoworkwithhymo-sinanetworkenvir...
 Download-manuals-surface water-software-50howtoworkwithhymo-sinanetworkenvir... Download-manuals-surface water-software-50howtoworkwithhymo-sinanetworkenvir...
Download-manuals-surface water-software-50howtoworkwithhymo-sinanetworkenvir...
 
Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage
 Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage
Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage
 
Download-manuals-surface water-software-03understandingswd-pplan
 Download-manuals-surface water-software-03understandingswd-pplan Download-manuals-surface water-software-03understandingswd-pplan
Download-manuals-surface water-software-03understandingswd-pplan
 
Download-manuals-surface water-software-02understandingswd-pactivitiesunderhis
 Download-manuals-surface water-software-02understandingswd-pactivitiesunderhis Download-manuals-surface water-software-02understandingswd-pactivitiesunderhis
Download-manuals-surface water-software-02understandingswd-pactivitiesunderhis
 
GHCNPaper3
GHCNPaper3GHCNPaper3
GHCNPaper3
 
Looking for SDTM migration specialist
Looking for SDTM migration specialistLooking for SDTM migration specialist
Looking for SDTM migration specialist
 
Document 22.pdf
Document 22.pdfDocument 22.pdf
Document 22.pdf
 
Fault tolerance on cloud computing
Fault tolerance on cloud computingFault tolerance on cloud computing
Fault tolerance on cloud computing
 
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
 Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin... Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
 
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
 Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin... Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
 
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
 Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin... Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
Download-manuals-surface water-manual-sw-volume8operationmanualdataprocessin...
 
Introduction to yarn N.Nandhitha II M.Sc., computer science Bon secours colle...
Introduction to yarn N.Nandhitha II M.Sc., computer science Bon secours colle...Introduction to yarn N.Nandhitha II M.Sc., computer science Bon secours colle...
Introduction to yarn N.Nandhitha II M.Sc., computer science Bon secours colle...
 
DesignOfAnExtensibleTelemetry&CommandArcitectureForSmallSatellites
DesignOfAnExtensibleTelemetry&CommandArcitectureForSmallSatellitesDesignOfAnExtensibleTelemetry&CommandArcitectureForSmallSatellites
DesignOfAnExtensibleTelemetry&CommandArcitectureForSmallSatellites
 
Introduction to yarn B.Nandhitha 2nd M.sc., computer science,Bon secours coll...
Introduction to yarn B.Nandhitha 2nd M.sc., computer science,Bon secours coll...Introduction to yarn B.Nandhitha 2nd M.sc., computer science,Bon secours coll...
Introduction to yarn B.Nandhitha 2nd M.sc., computer science,Bon secours coll...
 
Database 2 ddbms,homogeneous & heterognus adv & disadvan
Database 2 ddbms,homogeneous & heterognus adv & disadvanDatabase 2 ddbms,homogeneous & heterognus adv & disadvan
Database 2 ddbms,homogeneous & heterognus adv & disadvan
 
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...
 
Data-ware Housing
Data-ware HousingData-ware Housing
Data-ware Housing
 
Software architecture case study - why and why not sql server replication
Software architecture   case study - why and why not sql server replicationSoftware architecture   case study - why and why not sql server replication
Software architecture case study - why and why not sql server replication
 
From Relational Database Management to Big Data: Solutions for Data Migration...
From Relational Database Management to Big Data: Solutions for Data Migration...From Relational Database Management to Big Data: Solutions for Data Migration...
From Relational Database Management to Big Data: Solutions for Data Migration...
 
CCATS_CONVERSION
CCATS_CONVERSIONCCATS_CONVERSION
CCATS_CONVERSION
 

More from hydrologyproject0

More from hydrologyproject0 (20)

Specification purewater
Specification purewaterSpecification purewater
Specification purewater
 
Water purifier ion exchange resin column
Water purifier ion exchange resin columnWater purifier ion exchange resin column
Water purifier ion exchange resin column
 
Water purifier, double distillation unit
Water purifier, double distillation unitWater purifier, double distillation unit
Water purifier, double distillation unit
 
Water purifier, distillation unit (automatic)
Water purifier, distillation unit (automatic)Water purifier, distillation unit (automatic)
Water purifier, distillation unit (automatic)
 
Water geyser (heater)
Water geyser (heater)Water geyser (heater)
Water geyser (heater)
 
Water bath, general purpose
Water bath, general purposeWater bath, general purpose
Water bath, general purpose
 
Water bath, bacteriological
Water bath, bacteriologicalWater bath, bacteriological
Water bath, bacteriological
 
Wash bottle
Wash bottleWash bottle
Wash bottle
 
Volumetric flask
Volumetric flaskVolumetric flask
Volumetric flask
 
Visual accumulation tube
Visual accumulation tubeVisual accumulation tube
Visual accumulation tube
 
Vacuum pump
Vacuum pumpVacuum pump
Vacuum pump
 
Turbidity meter (nephelometer)
Turbidity meter (nephelometer)Turbidity meter (nephelometer)
Turbidity meter (nephelometer)
 
Tool kit
Tool kitTool kit
Tool kit
 
Toc analyser, microprocessor controlled
Toc analyser, microprocessor controlledToc analyser, microprocessor controlled
Toc analyser, microprocessor controlled
 
Tissue grinder
Tissue grinderTissue grinder
Tissue grinder
 
Thermometers, set of
Thermometers, set ofThermometers, set of
Thermometers, set of
 
Test tubes
Test tubesTest tubes
Test tubes
 
Test sieves with shaker
Test sieves with shakerTest sieves with shaker
Test sieves with shaker
 
Stirrer, magnetic (with hot plate)
Stirrer, magnetic (with hot plate)Stirrer, magnetic (with hot plate)
Stirrer, magnetic (with hot plate)
 
Sterliser, autoclave
Sterliser, autoclaveSterliser, autoclave
Sterliser, autoclave
 

Recently uploaded

Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Neo4j
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 

Recently uploaded (20)

Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 

Download-manuals-surface water-software-49howtotransferdatafromtemporarytopermanentdatabase

  • 1. World Bank & Government of The Netherlands funded Training module # SWDP - 49 How to transfer data from temporary to permanent databases New Delhi, February 2002 CSMRS Building, 4th Floor, Olof Palme Marg, Hauz Khas, New Delhi – 11 00 16 India Tel: 68 61 681 / 84 Fax: (+ 91 11) 68 61 685 E-Mail: hydrologyproject@vsnl.com DHV Consultants BV & DELFT HYDRAULICS with HALCROW, TAHAL, CES, ORG & JPS
  • 2. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 1 Table of contents Page 1. Module context 2 2. Module profile 3 3. Session plan 4 4. Overhead/flipchart master 5 5. Handout 6 6. Additional handout 8 7. Main text 9
  • 3. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 2 1. Module context While designing a training course, the relationship between this module and the others, would be maintained by keeping them close together in the syllabus and place them in a logical sequence. The actual selection of the topics and the depth of training would, of course, depend on the training needs of the participants, i.e. their knowledge level and skills performance upon the start of the course.
  • 4. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 3 2. Module profile Title : How to transfer data from temporary to permanent databases Target group : HIS function(s): …… Duration : x session of y min Objectives : After the training the participants will be able to: Key concepts : • Training methods : Lecture, exercises Training tools required : Board, flipchart Handouts : As provided in this module Further reading and references :
  • 5. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 4 3. Session plan No Activities Time Tools 1 Preparations 2 Introduction: min OHS x Exercise min Wrap up min
  • 6. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 5 4. Overhead/flipchart master
  • 7. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 6 5. Handout
  • 8. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 7 Add copy of the main text in chapter 7, for all participants
  • 9. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 8 6. Additional handout These handouts are distributed during delivery and contain test questions, answers to questions, special worksheets, optional information, and other matters you would not like to be seen in the regular handouts. It is a good practice to pre-punch these additional handouts, so the participants can easily insert them in the main handout folder.
  • 10. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 9 7. Main text Contents 1 Data transfer from temporary datasets to permanent datasets 1
  • 11. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 1 How to transfer data from temporary to permanent databases 1 Data transfer from temporary datasets to permanent datasets 1.1 Transferring raw data from SDPCs/RDPCs to SDSCs/RDSCs Under HIS the data processing and the data storage functions are separated. The raw and processed data sets are to be archived at various data storage centres (DSCs) of state and central agencies. The availability of raw data at the DSCs, as permanent databases, is purely for the purpose of long term archival and for limited dissemination for specific purposes, if required. The raw data as prepared in SWDES workareas at various SDDPCs is routed through the controlling DDPC and is finally available at the SDPC/RDPC. A copy of the same is also kept at the DDPCs for ready reference at the time of data validation. At DDPCs and SDPCs/RDPCs all the raw data is available in distinct SWDES workareas for each SDDPC separately in one single file. The raw data available at SDPCs is in the temporary databases of SWDES. This data is to be transferred to the permanent database(s) of the respective DSCs using dedicated data storage software (under procurement process). The databases in the DSCs will make use of the uniform data structure in an Oracle database environment to be compatible with the selected database system for the dedicated groundwater data processing system (presently under procurement) & surface water data processing system (HYMOS). This data storage application software will be developed to carry out all required database functions in all SDSCs/RDSCs/NDSCs. The data storage software will be standard, uniform and generic in nature having all necessary auxiliary features like user authentication and management, access control, data integrity and encryption etc. Though the detailed specifications are under development and its subsequent procurement and implementation will take some more time from now (i.e. January 2001), it is attempted here, in the following paragraphs, as how the transfer of the raw data from the side of the SDPCs/RDPCs would be made. Though the exact procedure of import of these transfer data into the permanent database(s) by the data storage system would be known only after the system is fully defined. However, such import functionality would obviously have all the standard features required for import of new data streams like sender’s authentication, data comparison, data integrity etc. No attempt, except for a brief mention, is therefore being made here to further elaborate on this aspect. 1.1.1 Export of raw data from SDPCs/RDPCs to transfer databases The incremental SWDES transfer datasets, containing raw data, arriving at SDPCs/RDPCs from the DDPCs are used for two purposes: (a) transferring raw data from SDPCs/RDPCs to respective SDSCs/RDSCs and (b) regularly consolidating in respective SWDES workareas for use at SDPCs/RDPCs for reference. Normally, as a regular routine monthly transfer of incremental data sets from SDDPCs would be available at DDPCs by around 13th of each month. From the DDPCs, similar incremental databases are transferred to the corresponding SDPCs/RDPCs (by 15th of the same month). After the receipt of these incremental transfer databases, they are transferred to the SDSC/RDSC by around 20th of every month. By the same time consolidation of these transfer workareas is also made in the respective SWDES workarea for each SDDPC separately. For transfer of incremental raw datasets as received from the DDPCs to the DSCs, first the workareas are registered in SWDES and then using the option of “Export of data to HYMOS (in “.mdb” format)” is used to make an intermediate transfer dataset. This transfer dataset
  • 12. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 2 will be in MS Access database structure and would be used for import into the permanent databases by the data storage system. A uniform guideline may be followed for assigning file names to such transfer workareas being sent from the SDPCs/RDPCs to the respective SDSCs/RDSCs. This will be highly beneficial in recognising the transfer workarea by merely knowing its filename. The filenames to be used for such transfer workareas are recommended to be based on: (a) a string “TRANnn”, (b) yymmdd and (c) name of the parent workarea as used at SDPC/RDPC. Here “nn” in the string is any number used for adequately distinguishing different transfer workareas of the same date and “parent” workarea is the one from which the transfer is being made. 1.1.2 Import of raw data from transfer databases into SDSCs/RDSCs The transfer databases prepared by the SDPCs/RDPCs pertaining to each SDDPC separately, for the period beyond the last such transfer, are imported by the data storage system available at DSCs. The details of the import procedure would be available only when the design of the system being procured is fully known and hence is not further elaborated here. 1.2 Transferring processed data from SDPCs/RDPCs to SDSCs/RDSCs At the SDPCs/RDPCs, the whole state or a very large drainage region is under the jurisdiction. The state would include parts or full of one or more independent river basins whereas the regions of CWC being based on the river basins would include one or more complete independent river basins. There are two types of workareas for processed data at the SDPCs/RDPCs: (a) workareas for the individual independent river basins or part thereof within the state and (b) unified workarea for data of the whole state/region together (having only finalised/summary data). Transfer of data between SDPCs/RDPCs and the respective SDSCs/RDSCs will be accomplished, as a routine, from the workareas maintaining data of individual independent river basins or part thereof.. Since these workareas would have all the detailed authenticated data, these will be used as the nodal databases for exchange of authenticated data from SDPCs/RDPCs to the respective SDSCs/RDSCs. The processed data from DDPCs are available at SDPCs/RDPCs by the 1st of the second month after the month of observation. At SDPCs/RDPCs hydrological validation will be carried out and also data would be compiled in various forms as authenticated data. Such processing would be over by the end of the month and at that time (i.e. by 30th of the second month after the month of observation) these finalised data are transferred to SDSCs/RDSCs. For this, transfer databases from each of the available individual workareas in HYMOS will be made. Such transfer data shall also be prepared by using the “Export transfer database” option in exactly same manner as explained earlier in the sections on “transfer of processed data between temporary databases”. A uniform guideline can be followed for naming these transfer databases for an easy recognition. The filenames to be used for these transfer databases are recommended to be based on: (a) a string “EXPOnn”, (b) yymmdd and (c) name of the parent workarea. Here “nn” in the string is any number used for adequately distinguishing different transfer databases of the same date and “parent” workarea is the one from which the transfer is being made. Obviously the details of naming of such transfer databases is dependent on the type of protocol with the data storage system and therefore may differe from what is prescribed here on the basis on actual details of the system. However, idea of a uniform
  • 13. HP Training Module File: “ 49 How to transfer data from temporary to permanent databases.doc ” Version Feb. 02 Page 3 guideline for naming such transfer file is generic and that the basis may differ due to actual requirements. As soon as these transfer databases are made available to the SDSCs/RDSCs, these will be imported in the permanent databases after all necessary requirements of protocol like sender’s identification, authorisation, data comparison, integrity etc. are fulfilled. The details of such import options are not discussed here as the system is yet to be fully defined and developed.