Expertise in setting up multiple Data warehousing, Data migration, Data Integrations & Data Analysis projects.
ETL Project
Step 1) Extraction
Data is extracted from the source system into the staging area. Transformations if any are done in staging area so that performance of source system in not degraded. Also, if corrupted data is copied directly from the source into Data warehouse database, rollback will be a challenge. Staging area gives an opportunity to validate extracted data before it moves into the Data warehouse.
Three Data Extraction methods:
Irrespective of the method used, extraction should not affect performance and response time of the source systems. These source systems are live production databases. Any slowdown or locking could affect company’s bottom line.
Some validations are done during Extraction:
Step 2) Transformation
Data extracted from source server is raw and not usable in its original form. Therefore, it needs to be cleansed, mapped and transformed. In fact, this is the key step where ETL process adds value and changes data such that insightful BI reports can be generated.
In this step, you apply a set of functions on extracted data. Data that does not require any transformation is called as direct move or pass through data.
Validations are done during this stage
Step 3) Loading
Loading data into the target datawarehouse database is the last step of the ETL process. In a typical Data warehouse, huge volume of data needs to be loaded in a relatively short period (nights). Hence, load process should be optimized for performance.
Types of Loading:
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Financial Consolidation & Reporting supports the close, consolidation and reporting process with the agility and affordability of an integrated solution.It also helps finance teams deliver financial results, create informative financial and management reports and provide the Chief Financial Officer (CFO) with an enterprise view of key financial ratios and metrics.
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KPI is a quantifiable value expressing the business performance in a shorter time-frame level. They are used in different industries to track organizational processes, improve efficiency and help businesses to understand and reflect on the outcomes. When a business is measuring the effectiveness of a process, often metrics and KPIs are established to perform the evaluation and analysis.
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