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What is it? - DataPlatform Franchising

The DataPlatform Franchising project is dedicated to applying the concept of Franchising to Data Asset. To paraphrase Wikipedia's definition of franchising: For the data franchisor, the franchise is an alternative to building chained stores data stores to distribute goods data assets that avoids the investment and liability of a chained stores data store. The franchisor's success depends on the success of the franchisee. This site is used to document my adventures while experimenting this concept. Pr

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What is it? - DataPlatform Franchising | datapfranc.github.io Reviews

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The DataPlatform Franchising project is dedicated to applying the concept of Franchising to Data Asset. To paraphrase Wikipedia's definition of franchising: For the data franchisor, the franchise is an alternative to building chained stores data stores to distribute goods data assets that avoids the investment and liability of a chained stores data store. The franchisor's success depends on the success of the franchisee. This site is used to document my adventures while experimenting this concept. Pr

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What is it? - DataPlatform Franchising | datapfranc.github.io Reviews

https://datapfranc.github.io

The DataPlatform Franchising project is dedicated to applying the concept of Franchising to Data Asset. To paraphrase Wikipedia's definition of franchising: For the data franchisor, the franchise is an alternative to building chained stores data stores to distribute goods data assets that avoids the investment and liability of a chained stores data store. The franchisor's success depends on the success of the franchisee. This site is used to document my adventures while experimenting this concept. Pr

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datapfranc.github.io

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How to do data integration, BRD example (part2) - DataPlatform Franchising

http://datapfranc.github.io/misc/brd_di_part2

Sat 21 May 2016. How to do data integration, BRD example (part2). This post presents the physical data model. Compare to logical model. To explain some details of physical data model, we'll look at the code. Although SQL is not well suited for self-documented code, most DB engines support explicit comment. Staging layer - - - - - - - - - - - - - - - - - - - - - - - -. Review and/or Rating harvested from site'. Unique identifier of book (piece of work as ref to lt)'. Parsed date from raw string'. Data fro...

2

Archives - DataPlatform Franchising

http://datapfranc.github.io/archives.html

Archives for DataPlatform Franchising. Tue 28 June 2016. Thu 02 June 2016. How to do data integration, BRD example (part3). Sat 21 May 2016. How to do data integration, BRD example (part2). Fri 01 April 2016. How to do data integration, BRD example. Mon 14 March 2016. How to do data integration, BRD example. How to do data integration, BRD example (part2). How to do data integration, BRD example (part3). I'm a data architect by choice. I enjoy doing backend stuff and data-oriented projects.

3

data integration - DataPlatform Franchising

http://datapfranc.github.io/tags/data-integration.html

How to do data integration, BRD example (part3). Thu 02 June 2016. This layer contains derived data needed by Presentation/Delivery layer. We can build components like associations, groupings or hierarchies defined by Business Rules, and also do data cleansing to fix issues found in our. Building new association: Similar Reviews. Let's say we're required to find similar reviews written on Work. This could be useful for:. Identify users duplicating reviews within or across sites. How do we do that? BI env...

4

dataset - DataPlatform Franchising

http://datapfranc.github.io/tags/dataset.html

Tue 28 June 2016. After a few weeks spent harvesting and integrating book reviews, it is time to share some statistics. Reviews have been harvested on a sample of roughly 300K books (I use the term Book here instead of Work). I've started harvesting book sequentially (by id) and later processed them by popularity as a way to get more reviews. Some Book catalogued in Librarything could not be found in other sites while others had no reviews. Find out more about me at martin-ouellet.

5

How to do data integration, BRD example - DataPlatform Franchising

http://datapfranc.github.io/misc/brd_di_part1

Fri 01 April 2016. How to do data integration, BRD example. Data Integration: one of the main BI functions. BI environment architecture is often left as an after-thought. Business is pressuring technical teams for delivery, so they quickly jump into designing star schema or dimensional models (the Presentation Layer. And neglect the Integration Layer. End result: no separation of concerns will exist between the integration AND presentation aspects. Or my personal view on that. Note: I enjoy spending time...

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martin-ouellet.blogspot.com

Martin Ouellet Notes: October 2011

http://martin-ouellet.blogspot.com/2011_10_01_archive.html

Anything but a. blog! Tuesday, October 04, 2011. A Source-to-Target self-documentation system. In the BI world, the corporate Data warehouse platform gets often overly complex quite rapidly. The number of source components increases rapidly to reach nearly thousand of entities:. Consider 10-15 different OLTP’s sources each having roughly 10-20 entities worth of interest (tables and views). Consider also the few File-based sources each accompanied with one or more feed entities. Now consider that each one.

martin-ouellet.blogspot.com

Martin Ouellet Notes: September 2011

http://martin-ouellet.blogspot.com/2011_09_01_archive.html

Anything but a. blog! Saturday, September 17, 2011. Oracle choices for Multidimensional Analysis. Here’s a quick assessment highlighting the main differences between Hyperion Essbase vs Oracle OLAP. Knowing that both products are now under the same ownership, I thought this should be archived before it gets completely outdated! Separate to the Oracle database. End-user focused, popular among business users as data access done via Excel. Aggregation management solution for SQL-based BI applications. Advan...

martin-ouellet.blogspot.com

Martin Ouellet Notes: Cassandra data modelling

http://martin-ouellet.blogspot.com/2015/01/cassandra-data-modelling.html

Anything but a. blog! Sunday, January 11, 2015. This post describes NoSQL Cassandra. Database solution with focus on data modelling aspect. Cassandra competes in the space of NoSQL Column Family. Storage engine, named under various terms like Wide Column Store. S storage in reference to the influential Google BigTable. Paper Competing candidate includes the HBase. Whose goals is to change RDBMS data storage from row-based to column based. Store: documents are usually stored using any open. Column Family ...

martin-ouellet.blogspot.com

Martin Ouellet Notes: March 2013

http://martin-ouellet.blogspot.com/2013_03_01_archive.html

Anything but a. blog! Friday, March 01, 2013. Data Vault model: Mobile Telecom example (part-3). Here's my last note concerning " Data Vault model: Mobile telecom example. Where some points and issues are discussed. Open Points and Discussion. 8594;Business Key inconsistencies. Among all OLTPs used as source, it is very unlikely that they will all share exact same Key(s) to represent same business entity! If we are lucky, keys will vary in format only, but more frequently, keys can be totally different.

martin-ouellet.blogspot.com

Martin Ouellet Notes: January 2012

http://martin-ouellet.blogspot.com/2012_01_01_archive.html

Anything but a. blog! Tuesday, January 10, 2012. Ever heard about Data Vault. I'll present here some key elements related to the data modelling aspect of this approach invented by Dan Linstedt. For those interested in learning more, you can also check out Dan's freely available educational video. The modelling technique proposed can leverage one of the advantage going to. In data warehousing (DWH) schema, i.e. provide more flexibility against data model changes in source. In the era where. In a very dist...

martin-ouellet.blogspot.com

Martin Ouellet Notes: July 2014

http://martin-ouellet.blogspot.com/2014_07_01_archive.html

Anything but a. blog! Sunday, July 27, 2014. We have been deploying a database service at work which is based on PostgreSQL. Here's some notes I gathered for the installation and basic configuration of the service. So far, we are quite impressed and satisfied by the stability of this "World's most advanced open source Database" (or maybe the quote should be "Oracle wannabe")! Global Wide Server Setting. This global setting defines amount of memory shared across all. Is definitely too low. Updating this g...

martin-ouellet.blogspot.com

Martin Ouellet Notes: September 2012

http://martin-ouellet.blogspot.com/2012_09_01_archive.html

Anything but a. blog! Monday, September 03, 2012. Understanding and Using SVD with large dataset. When confronted with large and complex dataset, very useful information can be obtained by applying some form of Matrix decomposition. One example is the Singular Value Decomposition (SVD) whose principles yielded the derivation of a number of very useful application in today's digitized world:. Http:/ cklixx.people.wm.edu/teaching/m2999-3f.pdf. Or Latent Semantic Indexing). In this post, I discuss the under...

martin-ouellet.blogspot.com

Martin Ouellet Notes: October 2013

http://martin-ouellet.blogspot.com/2013_10_01_archive.html

Anything but a. blog! Wednesday, October 30, 2013. At work we have won a contract in Jordan recently. This gives me the opportunity to make longer stay in this country and enjoy more than just the few days typically spent at the hotel. This is my first work experience in middle east, and there is a lot to learn being surrounded by a very different culture and habits than what you are used to… which is nice, I’m always keen in discovering other way of life. Shot taken from my hotel top floor. The whole re...

martin-ouellet.blogspot.com

Martin Ouellet Notes: August 2013

http://martin-ouellet.blogspot.com/2013_08_01_archive.html

Anything but a. blog! Tuesday, August 06, 2013. BI “ideal” platform. In dealing with BI projects, you are much more likely to work under the constraint of an existing platform than building one from scratch. This means having to deal with platform idiosyncrasies, sub-optimal architecture, complex and large data models, tangled loading dependencies and scheduling, confusion or mix of approaches and architecture, etc. Visibility: any layer can only depend on the immediate lower (preceding) layer. Data depe...

martin-ouellet.blogspot.com

Martin Ouellet Notes: June 2015

http://martin-ouellet.blogspot.com/2015_06_01_archive.html

Anything but a. blog! Friday, June 05, 2015. Spark data processing/analytics platform. At work we are looking to leverage a large scale data processing/analytics platform called Spark. Before doing some hands-on work, I will always do some research to help me get started and have better insights and context on a large scale platform. So this post summarises these notes on one of the hottest techno on Big-Data which officially past the-peak-of-inflated-expectation. Data mining and batched analytics. Data ...

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