Getting Started with Iguazio Data Science Platform
An overview of the Iguazio (https://www.iguazio.com/) Data Science Platform and how to use it to build and deploy AI-based applications
An overview of the Iguazio (https://www.iguazio.com/) Data Science Platform and how to use it to build and deploy AI-based applications
Learn how Quadient, the leading provider of meaningful customer experiences, uses Iguazio (https://www.iguazio.com/) to unify any data type for real-time machine learning applications while saving man-years in development with an-out-of-the-box data science toolkit.
In this post, we’ll look into tried and true methods of improving Rails view performance. Specifically, I will focus on database efficiency, view manipulation, and caching. I think the phrase “premature optimization is the root of all evil” has been taken a little out of context. I’ve often heard developers use this during code reviews when simple optimization techniques are pointed out.
Many of us have experienced the feeling of hopelessly digging through log files on multiple servers to fix a critical production issue. We can probably all agree that this is far from ideal. Locating and searching log files is even more challenging when dealing with real-time processing applications where the debugging process itself can be extremely time-sensitive.
The opportunity to create new economic, social and environmental value by unlocking the “good” in data is immense. While the problems we face as a society may be getting harder to solve, the advances we can make when we break down the silos between the physical and digital worlds are profound.
Once upon a time there was only one way to use Apache Spark but support for additional programming languages and APIs have been introduced in recent times. A novice can be confused by the different options that have become available since Spark 1.6 and intimidated by the idea of setting up a project to explore these APIs.
After a full year of development since our last major open source release, we are proud to announce the next chapter of our flagship open-source API gateway — Kong Gateway 2.0 is generally available! With this release, Kong will become more operationally agnostic for large-scale deployments across on-premises and multi-cloud environments, thanks to the new Hybrid Mode. In addition, plugin development also becomes more language agnostic, thanks to the new Golang PDK support.