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Extract, Transform and Load (ETL) Across organizations, data is a 24 x 7 business. It flows randomly, unpredictably, right through the work day and long after your systems, and people, have gone to sleep. Which means that tracking it, deciphering it, and then sending out relevant distillates to appropriate intelligence-receptors across your business, also becomes a 24 x 7 job. |
| For true business agility, however, this all needs to happen in real-time. And Manthan is geared to take ETL into real-time mode for businesses like yours, across the Retail, CPG, Food Services and Pharma sectors. |
| Our total data integration and round-the-clock monitoring, make an end-of-day activity take place right through the day, any time intelligence is needed. Our ETL process capabilities deliver continuous data identification, transformation and loading. And, they operate inside a real-time window, so that you can keep proactive pace with industry demands. |
| Manthan provides your enterprise data environment with the means to fend off volatility, battle data silos and fragmented sources, data explosion, delays and the ever-looming factor of risk. We help provide your business with the ‘single version of the truth’, equipping you to compete with the best. |
| Our consultants deploy advanced Extract, Transform and Load tools, to extract and synergize divergent data from applications and systems, transform it, and load it into target systems such as data warehouses, data marts, analytical applications, etc. Thus furnishing your executives can be with sterile and complete intelligence for better results. |
| We offer services built around ETL tools such as Informatica, DataStage, SSIS and open source tools such as Pentaho ETL, DataMirror and Sunopsis. |
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ETL Process Management |
| Manthan’s ETL process is implemented for specific data management tasks. We handle the entire data movement lifecycle – from source systems to the staging area to the data warehouse to the final data mart. Here is a brief overview of the process. |
- Defining data sources and the relevant mappings.
- Maintenance and monitoring of transformation scripts.
- Creation of new transformation scripts for the new business requirements.
- Preparation of batch scripts.
- Update mapping specifications with meta data.
- Update monitoring and responsibility processes on source data changes.
- Ensuring accurate and efficient ETL process in production.
- Rectification of a broken ETL process.
- Updation of the ETL process.
- Streamline/Eliminate disjointed extraction and transformation programs.
- Validation routines to check for data consistency between source and destination.
Performance tuning, error handling and interdependent scheduling. |
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