PLM Data Warehouse: Dream Or Nightmare?

PLM Data Warehouse: Dream Or Nightmare?

PLM is certainly dealing with lots of data about products: design, engineering, lifecycle data, manufacturing, processes. When/If you speak to PLM software providers and some big customers you can hear term “Data Warehouse”. DW term is not coming originally from PLM domain and related more to the general purpose databases and data management field.

This is a very commonly used definition of Data Warehouse from Wikipedia:

A data warehouse is a repository of an organization’s electronically stored data, designed to facilitate reporting and analysis [1]. This definition of the data warehouse focuses on data storage. However, the means to retrieve and analyze data, to extract, transform and load data, and to manage thedata dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform and load data into the repository, and tools to manage and retrieve metadata.

Data Warehouse Technologies

The technologies for data warehouse most commonly are coming from database and data vendors related domains. There are multiple methodologies and techniques to organize data and make available. The most known in this field are bottom up and top down design for data warehouse. Most of the data warehouse methodologies are focusing on fast data retrieval opposite to transactional databases. With all bright insight made around the data warehouse, their implementations are very expensive and, in my view,  data warehousing technologies are under significant pressure to drop cost and improve the agility of implementations. You can often find multiple data-related implementations that may correspond to data warehousing , such as Business Intelligence, Data Integrations, etc. The newest trends in Business Intelligence are stating that Data Warehousing is ruined and the future BI technologies will bring better solutions in this space. Recently, I had a chance to read a very interesting write up made by TEC – Are Data Warehouses as Dead as the Dodo?, which is exploring a promising future of new BI technologies to replace data warehousing need.

PLM and Data Warehouse

I think, PLM is often using “Data Warehouse” term to underline the power of PLM technologies to manage big amounts of product data. In my view, PLM platforms never took serious steps in the implementation of actual data warehousing. Nevertheless, large PLM implementations done for big aero- and auto- OEMs contain a significant amount of product data that need to be available across the multiple departments and synchronized with multiple applications. You can find an interesting story about Boeing and Airbus PLM data warehousing implementation can be found on TechniGraphics web site. At the time of writing this blog, I could download this paper from the following link. Some interesting numbers from this document- the Boeing Dreamliner data warehouse contains about 16TB of data. PLM needs to deal with large amounts of data. To handle it efficiently seems to be a very interesting problem.

What is my conclusion today? Large PLM implementations need to handle a significant amount of data. Today, DMU implementations are requiring to bring multiple elements of design data to handle analysis and validation of complex products. There are many other product-data related problems that often remained unsolved because of technological complexity. What is the technology available to solve this problem? Is it future HD PLM from Siemens? Or maybe Project Lightning from PTC? Time will show…

Best, Oleg

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  • Cheng

    HD PLM is defined as high definition PLM which claims bring right info to right person at right time.It is more about ease-of-use and ease for decision making. I cannot tell HD PLM has someting to do with data handling.

    For project Lighting, It is more like a mixed(Parametric and explicit ) CAD tool development. Until now, I have no idea about its difference from Siemens ST technology. but ST is not good enough, in ST mode, all the parametric info will be lost. Hope PTC can come up with a better solution. Suppose PTC can develop a better CAD tool as it claims, the data will definitely decrease .

    BTW, Oleg. I really like your post which always intrigue my deep thought. Just ask a question, Could I translate it into Chinese and post it in my blog to share with others? Absolutely, I will link back to this original post.

  • http://beyondplm.com Oleg Shilovitsky

    Cheng, Thanks for your comment!

    HD PLM video (at least) presented such a way you can show various information on top of 3D models. I understand the goal of simplicity. However, 3D model is coming from multiple sources, so I see it as a kind of warehousing (oh… No, maybe we need to find another term ;)?).

    You can feel free to translate it to Chinese and post. Just keep back links on my blog, please.
    Best, Oleg

  • Avinash Durge

    The Agile PLM Datamart provides a platform and tools that let you conduct multidimensional
    analysis on Agile PLM data across the enterprise. Agile PLM Datamart schemas facilitate querying and reporting, which is valuable for analyzing performance trends and estimating future trends, and provides an intermediate store for historical Agile PLM data.

  • http://beyondplm.com Oleg Shilovitsky

    Thanks for your comment! What technologies Agile PLM is using for this Datamart? Is it Oracle-based? Thanks, Oleg

  • Avinash Durge

    Agile analytics and Agile Datamart is using OBIEE, Oracle Data integrator, Oracle Database.

  • http://beyondplm.com Oleg Shilovitsky

    Avinash, thanks!