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- Select suitable configurations file (nodes depending on data volume)
- Select buffer memory correctly and select proper partition.
- Turn off Run time Column propagation wherever it’s not required.
- Taking care about sorting of the data.
- Handling null values (use modify instead of transformer)
What are components of DataStage?
Three components comprise the DataStage client: DataStage Administrator. DataStage Designer. DataStage Director.
What is database performance tuning?
Database performance tuning is a broad term referring to the ways database administrators can ensure databases are running as efficiently as possible. DBMS tuning typically refers to tuning queries for popular database management systems like MySQL or Oracle.
What is IBM quality stage?
QualityStage is a client server software tool used to improve data quality through a sequence of data cleansing mechanisms. QualityStage is part of the IBM Information Server and it appears as a major component within IBM’s Infosphere DataStage. QualityStage may also be called WebSphere QualityStage.
What is IBM InfoSphere CDC?
IBM® InfoSphere® Change Data Capture (InfoSphere CDC) is a replication solution that captures database changes as they happen and delivers them to target databases, message queues, or an ETL solution such as InfoSphere DataStage® based on table mappings configured in the InfoSphere CDC Management Console GUI …
What is database performance?
At a high level, database performance can be defined as the rate at which a database management system (DBMS) supplies information to users. The performance of accessing and modifying data in the database can be improved by the proper allocation and application of resources. Optimization speeds up query performance.
What are the difference between OLAP and ETL tools?
ETL is the process of Extracting, loading and transforming data into meaningful form. This data can be used by the OLAP tool for to visualize data in different forms. ETL tools also perform some cleaning of data. OLAP tools make use of simple query to extract data from the database.
What are the stages in ETL Informatica projects?
Extract, transform, load Extract. The first part of an ETL process involves extracting the data from the source system (s). Transform. Load. Real-life ETL cycle. Challenges. Performance. Parallel processing. Rerunnability, recoverability. Virtual ETL. Dealing with keys.
Is DBT an ETL tool?
DBT ( Data Building Tool) is a command-line tool that enables data analysts and engineers to transform data in their warehouses simply by writing select statements. DBT performs the T (Transform) of ETL but it doesn’t offer support for Extraction and Load operations.
What is the purpose of ETL tools?
The main purpose of the ETL tool is: extraction of the data from legacy sources (usually heterogenous) data transformation (data optimized for transaction –> data optimized for analysis) synchronization and cleansing of the data loading the data into data warehouse.
