Yesterday we provide a KT(Knowledge Transfer) to my entire office colleagues about Exploring Amazon Redshift (Datawarehouse, ETL & Business Intelligence).
In this session we covered following parts
1.Data warehouse
2.ETL
3.Business Intelligence
Brief Summary of Session :
1. Datawarehouse - Introduction
2. Redshift
- Introduction
- Advantages
- Columnar DB
- Cost
- Scalability
- Compatibility
3. ETL
- Introducing Talend
- Talend and Redshift
4. BI Tools
- Introduction
- BI Tools and Redshift (Jaspersoft)
5. Redshift, Talend and Jaspersoft usage in Helios Project
6. Question & Answer
In this session, I have covered Business Intelligence section and attached presentation in below link.
https://www.dropbox.com/home/professional/business%20intelligence/jaspersoft/Jaspersoft?preview=BI-jaspersoft.pptx.pptx
In this session we covered following parts
1.Data warehouse
2.ETL
3.Business Intelligence
Brief Summary of Session :
1. Datawarehouse - Introduction
2. Redshift
- Introduction
- Advantages
- Columnar DB
- Cost
- Scalability
- Compatibility
3. ETL
- Introducing Talend
- Talend and Redshift
4. BI Tools
- Introduction
- BI Tools and Redshift (Jaspersoft)
5. Redshift, Talend and Jaspersoft usage in Helios Project
6. Question & Answer
In this session, I have covered Business Intelligence section and attached presentation in below link.
https://www.dropbox.com/home/professional/business%20intelligence/jaspersoft/Jaspersoft?preview=BI-jaspersoft.pptx.pptx
A data mart is simply a relational database that is built to support a specific set of business needs. These databases usually access data from the corporate information warehouse or from other data marts.Data marts are usually smaller than the information warehouse and are focused on a specific business problem. Many data marts access only a subset of the information stored in the corporate warehouse.
ReplyDeleteA data mart is simply a relational database that is built to support a specific set of business needs. These databases usually access data from the corporate information warehouse or from other data marts. Data marts are usually smaller than the information warehouse and are focused on a specific business problem. Many data marts access only a subset of the information stored in the corporate Data Warehouse Company .
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