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229948421
[(Open Source Data Warehouse )] [Author: Ahsan Habib] [Nov-2011]
Item #:
229948421
XAF 108751
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Open-source SQL engines are becoming popular due to their cost-effectiveness for small and medium enterprises.
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- Open Source Data Warehouse To fulfill the objectives of data warehouse, a number of front-end tools and back-end tools are required. Front-end tools include analysis, OLAP queries, reporting, data mining etc, while back-end tools include data cleaning, data loading and refreshing etc. Vendor specific Structured Query Language (SQL) engines like Oracle, MS SQL Server, IBM DB2 provide data warehousing facility. However, small and medium enterprise cannot take the advantages of the vendor provided DBMS due to its high Total Cost of Ownership (TCO). As a result open-source SQL engines are becoming popular nowadays. But open-source SQL engines have still no generalized data warehousing fac...
| Language | English |
| Item Weight | 1.5 lbs (680 grams) |
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[(Open Source Data Warehouse )] [Author: Ahsan Habib] [Nov-2011]
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Format: Paperback Editorial Review
Open Source Data Warehouse by Ahsan Habib offers a comprehensive exploration of data warehousing technologies and strategies. Written in English, this insightful guide weighs 1.5 lbs, making it a portable reference for professionals in the field. Readers appreciate its clear explanations and practical examples, which effectively demystify complex concepts. Additionally, the book delves into the benefits of using open-source solutions, making it a valuable resource for anyone looking to leverage cost-effective data storage and analysis methods.
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Pros
- Comprehensive coverage of data warehousing concepts
- Clear explanations for complex topics
- Practical examples enhance understanding
- Focus on open-source technologies
- Portable weight for easy handling
Cons
- Not available in multiple languages
Product Price History
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XAF 108751
Order now and get it around Friday, October 16
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Only 1 item left in stock.
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Features & Benefits
- Fulfill data warehouse objectives with essential front-end and back-end tools.
- Front-end tools include analysis, OLAP queries, reporting, and data mining.
- Back-end tools consist of data cleaning, loading, and refreshing.
- Vendor-specific SQL engines like Oracle and MS SQL Server have high TCO.
- Open-source SQL engines provide a cost-effective alternative.
- Ideal solution for small and medium enterprises seeking data warehousing solutions.
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