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The concept of a staging table is not specific to Informatica, but is a common term used in datawarehousing and ETL.
It is a database table used to store data prior to loading it into the main data warehouse tables. The name reflects that it a stage on the data's journey from source to target (rather like a staging post for a stagecoach).
Typically this data would have been extracted from a source system database, and the staging table would have a structure similar to the source table. The database schema used to hold these staging tables is referred to as the staging area or the relational staging area.
Data might also be stored in files prior loading in the warehouse - such files are called stage files and the directories in whch they are kept are known as the file staging area.
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What processes in informatica use unit test cases?
1. WOrkflow/ Mapping is valid or not. 2. Are they in proper location. 3. Status of target table before running the loading. 4. Status of target table after loading. 5. Check if the data which is supposed to load to the target table as per the mapping logic is loaded or not. 6. If there is an Update / Delete Logic the expected data got Updated or Deleted or not. ---- For 3 to 6 generally take help of SQL ---- 7. Check if the process completed successfully without any error or not ( See log Files
What are the Data staging steps in data warehousing?
Find Source system Find target system Transform data Load Validate the data
What is drop command?
The DROP table command of SQL lets you drop a table from database . The database requires you to empty a table before you eliminate from the database. But there is a condition for dropping a table ; it must be an empty table.
What does a field and a table have in common?
A table is comprised of fields.
Show waec november-december 2008 time table?
waec show me time table
What is Informatica's population?
The population of Informatica is 2,500.
Where can you get training on the Informatica Metadata Management?
One can get Informatica Metadata Management training at Informatica University. One can contact Informatica University by calling (866)311-5338 in the U.S.
When was Acta Informatica created?
Acta Informatica was created in 1971.
What is the symbol for Informatica Corporation in NASDAQ?
The symbol for Informatica Corporation in NASDAQ is: INFA.
In what year did Informatica Corporation - INFA - have its IPO?
Informatica Corporation (INFA) had its IPO in 1999.
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What does I.T in Spanish?
If you mean Information Technology, it is la informatica
How do you get informatica datastage tool help document?
For Informatica : Once u install informatica on your PC, go to to folder where it is installed eg C:/ProgramFiles/Informatica/Manuals ------The path may vary depending on your installation You will find a folder by the name Manuals within that where u would find the pdf files for all Informatica related stuff.
What is the market cap for Informatica Corporation INFA?
As of July 2014, the market cap for Informatica Corporation (INFA) is $3,835,034,560.00.
Which is the best Informatica 8.6.0 training in chennai?
Excellant informatica training in chennai adyar - Chennai@iSkill Tech Free Demo Class avaiable Daily!! Contact Priya +919894994935 email: iskilltech@gmail.com Learn INFORMATICA @ i-Skill Tech • Informatica 8.6 Why i-Skill Tech Real time Experienced Faculty with more than 5 years of experience working in MNC's like Infosys,IBM,Wipro.. Limited Batch size Online and corporate training available Real-time scenario project training Flexible timing Weekend batches available for working professionals. Guidance to Informatica Cetification 100 % job assistance Branch: No 3D,Dev appartment, Opp to Style one, Above Canara Bank, Gandhi Nagar, Adyar Course contents Datawarehouse Concepts 1. Data Warehouse Introduction 2. Types of Datawarehouse 1)Enterprise Datawarehouse 2)Datamart 3)Operational Data Store 3. OLAP VS OLTP 4. Data Warehouse Architecture 5. Dimensional Modeling 6. Star Schema 7. Snowflake Schema 8. MultiStar Schema 9. Fact 10. Dimension 11. Slowly Changing Dimension 12. Confirmed Dimension 13. Junk Dimension 14. Change Data capture E T L Informatica Power Center 8.6.x & 9.0.x 1. Power Center Components a) Designer b) Repository Manager c) Workflow Manager d) Workflow Monitor e) PowerCenter Admin Console 2. Repository Administration a) Creating Repository Users and Groups . b) Connecting to the Repository. c) Creating a Group d) Assigning Privileges to a Group. e) Creating a User f) Creating a Folder g) Folder Permissions h) Creating Folders 3. Informatica Concepts and Overview a) Informatica Architecture. b) Informatica(Introduction) c) Source Analyzer d) Target Designer d) Transformation Developer e) Mapping Designer f) Mapplet Designer g) Task developer h) Worklet Designer i) Workflow Designer 4. Sources a) Working with relational Sources b) Working with Flat Files 5. Targets a) Working with Relational Targets b) Working with Flat file Targets 6. Transformations - Active and Passive Transformations a) Expression b) Lookup --Different types of lookup Caches c) Sequence Generator d) Filter e) Joiner f) Sorter g) Rank h) Router i) Aggregator j) Source Qualifer k) Update Strategy l) Normalizer m) Union Transformation n) SQL Transformation o) Debugging Mappings 7. Mappings & Mapplets a) Mapping Variables & Parameters b) Creating Mapping,Mapplet and reusable transformation c) Working with Mapping Wizards d) Slowly Changing Dimension 1) SCD Type1 2) SCD Type2 -- Date,Flag and Version 3) SCD Type3 8. Workflow Manger a) Creating Reusable tasks b) Workflows, Worklets & Sessions c) Tasks 1) Session 2) Assignment task 3) Control Task 4) Event raise task 5) Event wait task 6) Timer task d) Monitoring workflows and debugging errors e) Post session and Pre-session commands f) Session recovery g) Commit points 9. Performance Tuning a) Informatica Tuning (Source, target, mapping & Session) b) Informatica Pushdown optimization and pipeline partition c) Incremental aggregation 10. Differnet Kinds of Load a) Initial Load b) Incremental Load 11. Unix Commands and Basics of Unix Shell scripting 12. Project - Case Study 13. Resume Preparation and Assignment best informatica training center in Chennai, best informatica training center in Chennai Adyar, best informatica training center , best informatica training, best informatica, best Informatica ,Chennai,GOOD informatica TRAINING IN CHENNAI ADYAR JOB ORIENTED,informatica TRAINING IN CHENNAI ADYAR,informatica TRAINING IN CHENNAI,informatica TRAINING,informatica,Informatica , APPS ,informatica TRAINING IN CHENNAI,informatica TRAINING,CHENNAI,ADYAR,GOOD AND BEST informatica TRAINING IN CHENNAI ADYAR,VERY GOOD informatica TRAINING IN CHENNAI,VERY GOOD informatica TRAINING IN CHENNAI,GOOD AND BEST informatica TRAINING IN CHENNAI PLACEMENT ASSURED,GOOD AND BEST Informatica TRAINING INSTITUTE IN CHENNAI,informatica training in Chennai,informatica training center in Chennai,informatica training institute in Chennai,informatica,11i,10g Chennai,informatica training institute in Chennai,informatica institute in Chennai, best informatica 11i training center in Chennai, best informatica 11i training center in Chennai Adyar, best Informatica training center , best informatica training, best informatica, best Informatica ,Chennai,GOOD informatica TRAINING IN CHENNAI ADYAR JOB ORIENTED,informatica TRAINING IN CHENNAI ADYAR,informatica TRAINING IN CHENNAI,informatica TRAINING,informatica,Informatica , APPS ,informatica TRAINING IN CHENNAI,informatica TRAINING,CHENNAI,ADYAR,GOOD AND BEST informatica TRAINING IN CHENNAI ADYAR,VERY GOOD informatica TRAINING IN CHENNAI,VERY GOOD informatica TRAINING IN CHENNAI,GOOD AND BEST informatica TRAINING IN CHENNAI PLACEMENT ASSURED,GOOD AND BEST Informatica TRAINING INSTITUTE IN CHENNAI,informatica training in Chennai,informatica training center in Chennai,informatica training institute in Chennai,informatica,11i,10g Chennai,informatica training institute in Chennai,informatica institute in chennai
What actors and actresses appeared in Informatica - 2004?
The cast of Informatica - 2004 includes: Maye Choo as Ghost Jonathan Reason as Lucien Brannegan
What do you mean by delta detection in Informatica MDM What is the process of enabling delta detection?
Delta detection is used to detect new inserts and update existing source datasets in a complete data load process. Delta detection is done on specific columns that can be configured at the stage table level. Considerations for Using Delta Detection: Delta detection can be performed by comparing entire data sets or by using date columns. Last modified delta detection is the most efficient because Informatica MDM Hub can simply compare the last modified column of each incoming record to the record's previous last modified date. With delta detection, you have the option of not including columns in the landing table that are associated with the last_update_date column in the staging table in delta detection. If you include the last_update_date column when you configure delta discovery, and only the last_update_date column changes, the MDM hub will perform a lot of unnecessary delta discovery and loading work. If you process records by last modified date, do not use the Purge Now feature to compare last modified values (for example, whether the source record's last modified date is earlier than the current system date). to test). Using Now in this manner can produce unexpected results. Perform delta detection only on columns in the source whose last modified date is not an indicator of actual change. The Informatica MDM Hub stage job compares the entire source record to the latest corresponding record (previous load) in the PRL table. If the cells are different, the records are transferred to a staging table. Delta detection is done using PRL tables. If delta detection is based on a date column (last_update_date, a system-defined date column, or a custom date column such as date of birth), only records with new date valuesin the date column (compared to their corresponding records) The maximum date from the RAW table (instead of the PRL table) is displayed and inserted into the staging table. If delta detection is based on a specific column, including a date column (such as DOB or last_update_date), a record will be detected every time the date in the specified column changes (not the maximum date, but the corresponding value in the PRL table).). in the RAW table) is inserted into the staging table. If you check the delta of all columns during delta detection, only records with null primary key will be rejected. This is expected behaviour. All other records that fail the delta process are rejected by subsequent processes. If delta detection is based on last modified date, changes to the last modified date or primary key are detected. Updates to values that do not correspond to the last modified date or that are part of a concatenated primary key are not recognized. When using delta detection with mapped columns, duplicate primary keys are not considered in subsequent processes. Rejection processing allows you to: View all rejected records for a specific staging table related to a batch job View all rejected records by day across all staging tables Query rejection table based on query filters Delta Detection Enable for a Staging Table: Start the Schema Manager. Selection of the staging table that has be to configure. Acquire a write lock. Check the check box to enable delta detection for the table. To see this option, scroll down. Specify how delta is detected.
