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Don’t be guided only by the business requirements for your Business Intelligence | Business Intelligence Institute
https://biinstitute.wordpress.com/2008/10/15/dont-be-guided-only-by-the-business-requirements-for-your-business-intelligence
Just another WordPress.com weblog. Laquo; Big-Bang Enterprise Data Warehouse is a pipe-dream. Using Synonyms and Views. Don’t be guided only by the business requirements for your Business Intelligence. There is much talked about business requirements gathering phase in your BI initiatives. As part of this BR phase. You go to the users and ask for-. Their information requirements- Reporting as well as analytics needs. Look at the current set of reports, dashboards and scorecards. Users need to be made awa...
Using Synonyms and Views | Business Intelligence Institute
https://biinstitute.wordpress.com/2008/10/18/using-synonyms-and-views
Just another WordPress.com weblog. Laquo; Don’t be guided only by the business requirements for your Business Intelligence. Using Synonyms and Views. Using Synonyms and Views to better handle the database level changes. This tip is equally applicable for OLTP scenario. Which you may convert into a star-schema by combining the dimensional table and its extension. OR you may like to create a single virtual table combining the fact table and dimensional table. Feed You can leave a response. Leave a Reply Ca...
Data Normalization is not the best approach in Data warehouse Dimensional modeling | Business Intelligence Institute
https://biinstitute.wordpress.com/2008/08/19/data-normalization-is-not-the-best-approach-in-data-warehouse-dimensional-modeling
Just another WordPress.com weblog. Laquo; Maximizing Data Warehouse ROI and Usage? Keep Most Granular Data. Fix Business Intelligence at functional level first. Data Normalization is not the best approach in Data warehouse Dimensional modeling. The fundamental requirement of a DW is the fast response time of any expected and unexpected query (Refer Data Warehouse v/s Transactional Systems. It is advised to use a balanced normalization approach like star-schema or snow-flaked schema. If you have the sales...
Big-Bang Enterprise Data Warehouse is a pipe-dream | Business Intelligence Institute
https://biinstitute.wordpress.com/2008/10/10/big-bang-enterprise-data-warehouse-is-a-pipe-dream
Just another WordPress.com weblog. Laquo; Fix Business Intelligence at functional level first. Don’t be guided only by the business requirements for your Business Intelligence. Big-Bang Enterprise Data Warehouse is a pipe-dream. What intriguing is that why service and product providers make this pitch, when they perhaps know best that building a true enterprise data warehouse in one-go is next to impossible for any medium or large size organization. Surely intent is positive! How much you have invested i...
Maximizing Data Warehouse ROI and Usage?- Keep Most Granular Data | Business Intelligence Institute
https://biinstitute.wordpress.com/2008/07/25/maximizing-data-warehouse-roi-and-usage-keep-most-granular-data
Just another WordPress.com weblog. Laquo; What is Metadata Management? Data Normalization is not the best approach in Data warehouse Dimensional modeling. Maximizing Data Warehouse ROI and Usage? Keep Most Granular Data. Traditional use of Data Warehouse environment for the purpose of back-room analytics, is no longer applicable. It can now serve as a single reference source for any of your BI related information needs. Some examples are:. Needs transaction level data). Needs transaction level data).
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Blog de biinssouw-darsha - Blog de biinssouw-darsha - Skyrock.com
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Blog Music de biinssy - biinssy - Skyrock.com
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Business Intelligence Institute | Just another WordPress.com weblog
Just another WordPress.com weblog. Using Synonyms and Views. October 18, 2008. Using Synonyms and Views to better handle the database level changes. This tip is equally applicable for OLTP scenario. A view is a virtual table on which the end-user tools or users can run queries. The views make it easy and user-friendly access to the database. Views are typically a single table made out of multi-table, complex queries. For example, you may have a snow-flake schema. Posted in Data warehouse. October 15, 2008.
BI.INSYS Is Istihbarati
BI "İş İstihbaratı" Nedir? Dünya BİLGİ üzerinde dönüyor. Bilgiyi oluşturacak verilerin neler. Olduğu, nereden, ne zaman, nasıl, kim. Tarafından toplanacağı bilgi sisteminin temelini oluşturuyor. Spreadsheet hala 1 numara. Spreadsheet alışkanlığınızdan vazgeçmeye gerek yok. Aksine size BI uygulamalarında spreadsheetinizi daha verimli kullanacak bir ortam sunuyoruz. Hızlı karar verme İmkanı verir. İş İstihbaratı on OkiyasyS. BIINSYS Bilgiyi Nasıl Oluşturur, Nasıl Raporlar? BIINSYS Ürün Kullanım Kılavuzu.
ben Thomas
БИИНТ: общие сведения - Минимизация ресурсоёмкости товаров и услуг
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БиАй Интеграция - создание сайтов - разработка и продвижение сайтов
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Blog de Biint0u-D - * _ BïntAa - Skyrock.com
Mot de passe :. J'ai oublié mon mot de passe. 8593; Piicture :. Vanéssa and Angéla Simons ( lL ' *. 2oo9 Nvelle ané and Nveau départ. Deuil la barre (95). Mise à jour :. Abonne-toi à mon blog! Ajouter cette vidéo à mon blog. N'oublie pas que les propos injurieux, racistes, etc. sont interdits par les conditions générales d'utilisation de Skyrock et que tu peux être identifié par ton adresse internet (67.219.144.170) si quelqu'un porte plainte. Ou poster avec :. Posté le vendredi 07 novembre 2008 15:53.
