anchormodeling.comAnchor Modeling – anytime to the time of any
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Anchor Modeling – anytime to the time of any Skip to content Anchor Modeling anytime to the time of any Menu and widgets anytime to the time of any Search for: Pages About Online Modeler Online Modeler (test version) Support Tutorials Publications Releases Contact Forum Examples Create the database Load ST_Stage day 1 Load ST_Stage day 2 Directory Events No Events Latest Tweets RT @LulzimBilali: should we use temporal tables introduces in sql server 2016 in DWH https://t.co/BWIyErRjHS #sqlserver #temporal #dwh #dv 3 weeks ago RT @JLOracle: Join Elimination 12.2 https://t.co/a1h5kG2g12 3 months ago Happy New Modeling Techniques! 3 months ago If you sent a question to us and never got an answer, please post it in our forum: https://t.co/IN6UQpGdql. Our spam filter has gone mad! 4 months ago It's now possible to look inside "My Little Big Math Book" and preview a few of its pages at Amazon: https://t.co/j2YZ5UND1o 4 months ago Recent Comments Lars R?nnb?ck on Anchor Model Generator 24 New Certified Anchor Modelers – Anchor Modeling on Directory Jan Emil Larsen on Concurrency and Reliability Anchor Modeling – Curated SQL on Tutorials Lars R?nnb?ck on Temporal Entity Integrity Meta Log in Entries RSS Comments RSS WordPress.org Anchor Modeler 0.99 Released We are proud to announce the release of version 0.99 of the modeling tool. This version has been in the making for over one year, and code generated from it is, as usual, already in production for a number of data warehouses and system databases. Expect a more user friendly interface, that again works in Chrome, after they unexpectedly and deliberately broke SVG support. The generated code has, among other things, improved trigger logic. For example, if you try to update a static attribute, you will now get a warning, rather than a failure. This should make life easier, particularly for those using our sisula ETL Framework for metadata driven Data Warehouse automation. Using this framework with the latest modeling tool we have built and put a DW in production in record time. It took less than a week to model, populate three years of history, and start a daily incremental load of a Data Warehouse used in a high security environment. Posted on November 20, 2016Leave a comment on Anchor Modeler 0.99 Released Anchor Model Generator A while back Juan-José van der Linden created a script that would reverse-engineer a database into an Anchor model. He was kind enough to donate that script to the community, and it is available in our forum. Now there’s also a second effort which is available in the form of the script below. This is a work in progress and it will be updated with more features in the future. Perhaps we can merge the best features from JJ’s script into this one or the other way around. Please note that the script will use column statistics in order to determine if knots should be created, so it may take a long time to run when no statistics are available. It will reuse existing statistics, so a second run of the script is much faster. It tries to determine ties based on primary keys and matching column names. Posted on November 15, 20161 Comment on Anchor Model Generator 24 New Certified Anchor Modelers Last week we had the pleasure of certifying 24 new Anchor Modelers in the Netherlands. In other words, if you want to find expertise on Anchor modeling, you should head over to our Directory and contact them! We also held a public session with an introduction to Anchor modeling, showing them how it is possible to capture facts like “someone being somewhat sure about something, while someone else is completely sure about its opposite”. We were happy to have participants from Nike, the Dutch Police, Rabobank, Essent, ChainPoint, consultant companies like Free Frogs, Ordina, Cap Gemini, Kadenza, and a number of freelancers. Thanks everyone for participating at the courses and presentations, and the great discussions during the breaks! Posted on May 30, 2016May 30, 2016Leave a comment on 24 New Certified Anchor Modelers 34th International Conference on Conceptual Modeling We had a great time at the 34th International Conference on Conceptual Modeling, also known as ER2015, running a demo station of the online Anchor modeler, standing in for Hans Hultgren and presenting Ensemble Modeling, participating in a panel discussion on Big Data, and presenting our own paper “Big Data Normalization for Massively Parallel Processing Databases” at MoBiD. Here are some photos of Nikolay Golov presenting our paper. He had a very interesting story to tell of how Anchor has helped Avito scale out their data warehouse as the both the business and requirements grew very rapidly, multiplying the number of sources, rows, and terabytes with a factor of ten over three years. Posted on November 16, 2015November 16, 2015Leave a comment on 34th International Conference on Conceptual Modeling Implementing constraints One common question I am asked is how constraints are implemented in an Anchor modeled database. Temporality make constraints less straightforward than in static tables. With unitemporal history the constraint needs to hold for every possible time slice in the database given every point in changing time (tc). If concurrency and bitemporal history is used, they need to hold for every possible time slice for every positor given every point in bitemporal time (p, tp, tc). The good thing is that a slice behaves just like a static database. It is a snapshot of what the information looked like at that point. Implementing this using a CHECK constraint would be quite cumbersome. Even if you can limit the points of time that needs to be checked to those actually used in the database they quickly grow to a large number. The better way is to do the checking with an AFTER INSERT trigger. At insert time, it is possible to check only against those slices that are affected by the insert. Below is a script that generates a unique constraint for the stage name in our example model. Note that time slice checking is done by applying the point-in-time perspective of the affected anchor. This “template” for constraints can of course be extended to include more complex rules, such that two performances cannot be held on the same stage on the same date, found further down in the same script. Note that in the case of the performance date constraint, we do not have to take time into account, since none of the involved constructs are historized. However, there is one additional important consideration. Since the trigger joins the tie, the tie is expected to have its rows populated before the attributes. In other words, for the trigger to detect duplicates, the loading order must be: Generate the desired number of identities in the performance anchor. Populate the tie by connecting these identities to the associated stages. Populate the attributes on the performance anchor. If the loading order cannot be guaranteed, a similar constraint must be placed on the ti...
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