Going back to my roots – deep learning

It’s been a while since I wrote anything and it was for a good reason. Because I didn’t have anything to write about. But that was until now. I’ve been taking some online courses about deep learning on coursera.org. It was fun, especially since I found out that the whole deep learning is only a foss and there’s hardly anything new about it.

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On my way to graph databases

For the past month, I’ve been evaluating my first graph database – Neo4j. In this post, I will write about how I got into this database and in the next one, I will tell you about my thoughts on it.

Reliable results for Acidbase performance test alongside introducing batch processing

After I started reading the Elasticsearch’s documentation thoroughly, I realized I missed one really useful feature of it and that’s batch processing!

Acidbase: The Initial Performance Test

So after implementing the new architecture, I decided it is time to take the whole system out for a spin. I’ve already had chosen some dataset to accompany the system and now I want to test the system’s performance with them.

Acidbase: The final architecture

After months of going back and forth, I made the decision to change the architecture of Acidbase because of the following technical issues:

Let’s talk ACL

Every software working with data or databases has the aspect of system security. ACL is the term given to the part of the system which implements this security aspect and it stands for Access Control List. You can also call it: who can do what.

Acidbase part three – Connecting all the dots

In the past two posts I described my motivation and idea on how to combine an ACID RDBMS with a BASE NoSQL to form a solution that can be beneficial to a specific range of problems. Now it’s time to bring it home by connecting the rest of the dots.