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Technology Advice Guide For Data Warehousing Tools

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Technology Advice Guide For Data Warehousing Tools

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  1. Technology Advice Guide For Data Warehousing Tool www.greenstechnologys.com

  2. Data Warehouse • A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. • It usually contains historical data derived from transaction data, but it can include data from other sources.

  3. Use For Data Warehouse • Business intelligence (BI) • Point-of-sale (POS) data • Enterprise resource planning (ERP) data • Accounting data

  4. Features And Buying Consideration • Scalability • Access • Integrations • Text Analytics • Data Mining • Hadoop Integrations • Support • Cloud vs. On-Premise • On-Premise

  5. Scalability • Ability to expand in volume. • Incorporate new data sources. • Add new capabilities as an enterprise undergoes planned and unplanned growth.

  6. Access • Most utilize online analytical process (OLAP) protocols. • Performance monitoring is important in determining whether you can perform an ETL load.

  7. Integrations • Pre-built system for transferring data fromand sometimes to. • Aparticular data source, such as Sales Force,or QuickBooks.

  8. Text Analytics • Some solutions are more capable when it comes to generating structured data from unstructured data.

  9. Data Mining • Do provide features for more advanced data modeling, scoring, standard reporting from templates, and even visualization at the source of the data.

  10. FOR COMMUNICATION Greens TechnologysNo.15 First Street Padmanabhanagar Adyar,Chennai-20. Phone(M): +91 98404 96320Phone(L): 044 43511623EMail:contact@greenstechnologys.com

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