5/12/2023 0 Comments Azure data studio connect to mysqlThe thinking is that something about a cohort drives specific behaviors over time. This can be determined by the first time they ever made a purchase at a retailer, the date at which they signed up on a website, their year of birth, or any other attribute that could be used to group a specific set of individuals. A cohort is defined as a group of customers who share a common set of characteristics. It is an important use case in the field of marketing to help shed more light on how customer groups impact overall top-level metrics such as sales revenue and overall company growth. Like I mentioned at the start, I also used this flow for the migration between MySQL & Azure Table Storage.Īnd that had a similar outcome as just shown with the Azure SQL Database.Cohort Analysis refers to the process of studying the behavior, outcomes and contributions of customers (also known as a “cohort”) over a period of time. So we saw Azure SQL Database & MySQL, are there any other options? Yes there are… Want more compute options? You can also “Author” a job manually Īnd here you have several compute options available What I’ve noticed is that wrongly mapping data format is usually the culprit. Nice! The data has been migrated! Does this always end up well? Like al IT systems… no. Now let’s take a look in our Azure SQL Database. As shown, both are in progress.Ĭlick on it will provide is with some details. Here we see a copy job per table mapping. So if we click on that link, we see the jobs. Give it a bit, and the deployment will finish.Īfterwards we can monitor the results of our copy pipeline. Press next and the “pipeline” will be created Next up we can set some performance settings Īnd as a final verification step, we can see a summary of what we’ve configured Next we can choose the mapping of the tables As this is an Azure service, the select boxes will be populated with the available systems Here we’ll select “Azure SQL Database” Īnd again we’ll select the details. Next up we can select our target/destination. Here I selected the two tables I needed to have migrated If needed, create your gateway (as mentioned in our prep section).Īfter the connection has been validated, you can select the tables you want to migrate. Next you can select the source, for this we’ll select “MySQL” Give the job a name and configure the task schedule. In your Azure Data Factory, click on “Copy Data” (currently in preview) Ī new tab/page will open, with a nice step by step setup guide I did the similar thing here… Where I had two tables in my MySQL,Īnd I recreated these in the Azure SQL Database So be sure to create the target structure in your Azure SQL Database before setting up the copy job! Sadly/strangely enough this does not exist for the Azure SQL Database. When using Data Factory, the most target system (like Azure Table Storage for instance) have the option to create a structure (like a table) for you (if this does not exist). : Provisioning Table Structure in the Azure SQL Database Next up, download the gateway and install it Īfterwards you’ll see a similar screen showing that all went well… When you see the following part, click on “Create Gateway”. Be sure to have a (windows) system ready you can use for this purpose. This will serve as an intermediate host that will act as gateway between the data factory and the MySQL database. Just go to the marketplace and lookup “data factory”.ĭuring the setup, you’ll be prompted for a gateway. □ As this is pretty straight forward as with any Azure service, I’m not going to cover that in this post. Pointing out the obvious… You’ll need to deploy an Azure Data Factory. That brings me to today’s post, where I’ll do a quick run through how you can use Azure Data Factory for the migration of your MySQL database towards an Azure SQL Database (or any other support target). I’ve already used the Azure Data Factory a few times before, and it always pleases me. □ Anyhow, for the actual data migration I used a combination of manual mutations & data factory. Are the better setups for this? Yes there are! Though I wanted to get myself a bit more familiar with the table storage from PHP. It was long due… Though I was determined to change the backend to Azure Table Storage. Earlier this week I migrated “ ” towards Azure.
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5/12/2023 0 Comments The division 2 crossplayStay tuned for more details in the meantime. Also, those who play with PS4 will only play other PS4 with gamers. More details should be revealed soon, either at Ubisoft’s next showcase or even at the Xbox and Bethesda Games Showcase on June 12th. Division 2 is not cross-platform with PS4/PS5 and PC. Based on the footage and images seen, Henderson says the game appears to be “near completion” and is expected to release this year. Other details include cross-platform play being in active testing and an overhaul to the inventory and gear system to be more like The Division’s mainline games. This allows players to engage in some form of competitive multiplayer. At this time, AI foes called “Vultures” will come out and you must survive against them.Īs for Hunt, it’s apparently a PvP-based mode without AI. The players can easily do this from the 'settings' option. Those who are not fans of cross-play will have an option to disable cross-platform matching on both platforms. This means that the players using PC or Stadia will be able to play The Division 2 together. It boasts “added layers” for higher difficulty and there are different objectives to complete, from deploying beacons to hunting down foes.Īnother interesting twist is that players must extract from a specific point on the map’s edge and can’t do so at night. Yes, Tom Clancy's The Divison 2 is cross-platform between Stadia and PC. Nightfall is an objective-based PvE mode with the objective of gathering loot, surviving and then extracting. Two additional modes – Nightfall and Hunt – have been revealed here. In a new report on Try Hard Guides, insider Tom Henderson provided some new details from anonymous sources (who provided footage and images).Įxpedition has been renamed to Excursion with details on it, along with Storm, being the same as Henderson’s previous report. 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5/11/2023 0 Comments Optical expressionsThe ridiculously fast Titan Optical Switches deliver unprecedented response speed and incredible durability, with a 100 million click life cycle. Inside the Kone XP Air PC gamers will find none other than some of the fastest switches available – ROCCAT’s Titan Optical Switches. Additionally, outstanding heat-treated PTFE feet make for a smooth glide across desktops. At the heart of the Kone XP Air is ROCCAT’s smooth and precise Owl-Eye 19K DPI optical sensor that perfectly tracks every movement, and at all speeds, for gamers who always want to have the upper hand over their competitors. In addition to the reimagined AIMO RGB lighting, the Kone XP Air boasts ROCCAT’s incredibly reliable 2.4GHz Stellar Wireless technology, as well as Bluetooth connectivity allowing the mouse to be paired with multiple devices. 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This seem to much more of a thing on Windows than Linux and im not sure if its because of Vega's Memory too and swapping between this and VRAM. TensorFlow will very happy to throw a OOM error and quit. I have yet to find out exactly what the problem is. With SAE its immediate, with H128 its hit and miss. Same error as i do with DFL-H128 at batch size 24. I am also unable to test DFL-SAE as get the This has only been ran by me on my (poor) dataset. Interesting right? There are some other points id like to make but first id like to remind you that Please allow for a slight margin of error, these things are never perfect.īatch size: ROCm EGs: PlaidML EGs: Windows EGs: I had to change the Dlight output to 128 in order to get any meaningful data. The same TensorFlow code that it uses for Nvidia and ran some tests.Īll of these tests were ran on the same data using the FaceSwap default configs except for Dlight. I then made the changes required so that FaceSwap would use I booted up a fresh Linux enviroment, installed the ROCm stack with the modified TensorFlow andĪ recent git copy of FaceSwap. If one is written with OpenCL and the other with low-level primitives there must be a difference. What would be the performace difference between PlaidML and Tensorflow on AMD? This is one of the ways FaceSwap developers has managed to allow you to use any hardwareįor ML and that is something we should thank them for. PlaidML is a OpenCL v1.2 ML libary but does not conform to my previous 'v1.2 and CUDA' rant. This has allowed (i think this is the reason anyway) TensorFlow to be built ontop of MIOpen soįor those of you that aren't aware FaceSwap uses PlaidML for AMD and TensorFlow for Nvidia. In short HIP is cuda clone designed to allow easy migration from CUDA, perform a find+replaceįrom 'cudaFunction()' to 'hipFuntion()' and you're 90% done. Part of this software stack is MIOpen, a low-level ML libary and a new runtime API "HIP". In the attempt to catch up they have built the Radeon Open Compute stack What i did, whether is was based on false pretenses or not.ĪMD has been trying to catch up in the ML game, how well they are doing is something you canĭecide for yourself. It doesn't matter though, i'm mearly explaining why i belived I was a very ignorant observation and I'm sure there's someone reading this than knows farīetter than I and can say why this is. Now i do not know what the benefits of migrating from OpenCL v1.2 to v2.0+ are if thier are any atĪll. With Nvidia OpenCL, but would then also have a seperate CUDA path. That a program would be written in OpenCL v1.2, what looked to me as a way of staying compatible My belief came from looking at software requirements, CUDA or OpenCL.ĭue to Nvidia pushing CUDA for the past 10+ years they stopped thier OpenCL support at v1.2, whileĪMD and Intel continued to support up to v2.2 and v2.0 respectively. Jen-Hsun Huang stated 10 years ago that Nvidia is a To CUDA, which shouldn't surprise anyone. What i do mean is that the entire software stack is biased The code i looke at was very easy to follow. I do not mean that the developers have done a 'bad' job of coding, i think FaceSwap is excellent and RTX GPUs aside, i was very much in the belief that this was a software rather than a hardware issue. To some people who cannot / do not wish to buy another GPU. What i already knew, the comparison in performace as terrible. 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