A Quick Recap

Last time, we looked at how to use TensorFlow from within SAP HANA, express edition. This allows you to surface your TensorFlow ModelServer models inside your instances and use them as a regular stored procedure.

This allows, for example, to process images or documents stored as blobs with an image classification model or something as simple as a classification on the Iris dataset.


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With the rising number of global viewership, it is highly critical for media giants to serve their customer needs. With an increasing number of the viewers, the number of device formats has also increased. 

There could be a situation where you have a lot of media files that you need to change dimensions of or apply a watermark to, for example. To make such cases seamless, it is imperative to offer content in multiple formats at multiple locations.

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Estimation is one of the most difficult aspects of the Agile process. The natural tendency of team members is to include only the time it will take to complete the actual work for the item they are estimating. I have a process where I break each work item down into 4 parts to help me get a more accurate estimate. This is a process I use all the time in my current role as CTO of CUE Marketplace and I hope it helps you in your Agile estimations.

Understanding the Big Picture Estimate

I want to know every aspect of the work item that I’ll be completing, so I add any time it would take for me to fully understand it. It’s a huge time saver if my Product Owner has written the work items as user stories. That format helps with the “who,” “what,” and “why.” Other items that could take time include understanding any UI designs/clickable demos, reviewing usability tests and getting to know the “who” part of the story by researching the customer or persona.

Source de l’article sur DZone (Agile)

In the current technological era, it is normal to find 4-5 new Android-based apps uploaded to the Play Store every week. Seeing competitors deliver apps so frequently creates pressure to deliver quality apps in a short span of time. During this limited time, mobile application development and testing of the business’ purpose should be achieved. With this pressure, there is a need to automate certain processes which can save time while providing a trusted output.

That being said, mobile test automation can save a lot of time and is always preferred over the entire manual test execution process. With much less effort, the verification of frequent test cases that manual execution requires can be automated, and more effort can be diverted to new features of the application, which are vulnerable and tend to have more defects.

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Consider a scenario where you are moving a file from folder A to folder B. Think about all the possible ways you can test this. Apart from the usual scenarios, you can test the following conditions:

  • Trying to move the file when it is opened
  • You do not have the security rights to paste the file in folder B
  • Folder B is on a shared Drive and storage capacity is full
  • Folder B already has a file with the same name

In fact, the list is endless. Supposed you have 15 input fields to test each having 5 possible values, the number of combinations to be tested would be 5¹⁵=30,517,578,125.

Source de l’article sur DZone (Agile)


Introduction

If you’re at all interested in Artificial Intelligence (AI) — and it seems likely that you are, since you’re reading this in the AI Zone here on DZone — it’s unlikely to be news to you that there is an AI skills shortage. Businesses are increasingly looking to invest in AI and are on the hunt for suitably skilled workers since traditional software teams without the experience of AI often encounter a number of challenges, as I described in a recent article in this zone.

Anyone thinking about joining the AI workforce will want to learn the subject, initially by doing some reading and research, but without committing to paying too much. But where to start? As the need to recruit skilled AI staff has grown, so a number of businesses and individuals have set out to provide training courses, books, and e-learning, and the price and quality of these vary, as you would expect. As with all education, if you commit a chunk of your time, you don’t want to find it wasted on out-of-date or incorrect information or to find that you are missing out on key skills after spending time and money on a course that promises to equip you appropriately.


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I consider this to be the biggest news for the week: Alpha Build of Percona Server for MySQL 8.0. Experiment with it in a Docker container. It is missing column compression with dictionary support, native partitioning for TokuDB and MyRocks (excited to see that this is coming!), and encryption key rotation and scrubbing. All in all, this should be a fun release to try, test, and also to file bugs for!

Database paradigms are changing, and it is interesting to see Cloudflare introducing Workers KV a key-value store, that is eventually consistent and highly distributed (at their global network of 152+ data centers). You can have up to 1 billion keys per namespace, keys up to 2kB in size, values up to 64kB, and eventual global consistency within 10 seconds. Read more about the cost and other technicals too.

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In this tutorial, our aim is to write a schema and load it into our knowledge graph; phone_calls. One that describes the reality of our dataset.

The Dataset

First off, let’s look at the dataset we are going to be working with. Simply put, we’re going to have:


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The Scrum Master profession spans a wide variety of skills, knowledge, and experience. Scrum Masters try to create high performing teams and drive organizational change. Although our primary focus and responsibility is the process, it’s people we work with all the time. Surprisingly, our profession focuses predominantly on developing cognitive intelligence (IQ). We need to learn to appreciate the value of emotional intelligence (EQ) in becoming great Scrum Masters.

What Is Emotional Intelligence?

The term emotional intelligence was first created by researchers Peter Salavoy and John Mayer, and popularized by author Daniel Goleman. Emotional intelligence has been defined as, "the ability to recognize, understand, and manage our own emotions, and recognize, understand, and influence the emotions of others."

Source de l’article sur DZone (Agile)

As I’ve said in the past, it is super easy to build a VSTS Build (now Azure DevOps Pipeline) to keep two repositories in sync. In that article, one of the steps is pushing the new code to the destination repositories with a URL like https://$(token)@myaddress.visualstudio.com/DefaultCollection, to automatically include a token to authenticate in the destination repository.

Now, some of my builds have started to fail due to timeout and I immediately suspected the reason: the name change from VSTS to Azure DevOps changed the base URL from accountname.visualstudio.com to dev.azure.com/accountname, and this broke the build.

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