We are Techtters,
We Do Data Engineering, Mobile & Web Applications Development
from Utrecht, Netherlands.

We have 14 years of experience in enterprise level application development, Data Engineering & DevOps Solutions.

Our Portfolio

What We Do

Analytics

We are expertise in Data Engineering services data collection, cleaning, catalogueing, centralizing, cleaning, enriching, storing and finally serving the required data for machine learning or analytics applications and also productionizing machine learning model.

Microservices

We are proficient in application development with modern architectures Microservices and Serverless Architecture on AWS, Azure clouds and Cloud-native environments.

Web & Mobile Apps

We can help you in building modern and responsive mobile and web applications for your organization on Web, Android & iOS platforms.

Recent Blogs

Showing posts with label data sources in ml pipeline. Show all posts

Data Collection and Data Conenctivity are important processes in ML Pipeline. You should know how to connect and collect the data from the data sources. The data source located in on-premises or remote locations. Irrespective of data locality you should be able to connect the data source and collect the data and should store the data in centalized location.

To know more about Data Collection and Connectivity, watch the following video and subscribe to channel if you like the video.: https://www.youtube.com/c/Techtter