In this blog post, we will tackle a real-world data engineering challenge. We will target the datasets via the open-sourced platform Kaggle and use the GCP services to run PySpark functions for the ETL tasks and manage the queries and results for future analytics and reporting purposes.
Ultimately, the importance of data quality, engineering and building appropriate infrastructure and pipelines to enable business outcomes by scaling AI/ML cannot be overstated.
Data Activation: From Info to Impact About the event Let’s get real about data—it’s everywhere, but are we really using it to its full potential? It’s not enough to simply
From Data to Decisions: Building Intelligent Products About the event Join us for lunch and learn about the next generation of digital products. Mark your calendars 🗓️ for: ‘From Data
You have the data, now what? About this event Data. It keeps coming up time and time again. On our social media feeds, in our client conversations, and has of
I/O library design allows a single call to read or write data to and from many buffers at once. Find out how.
We often get brought on board to help productise ‘IoT’ (that’s Internet of Things, if you have somehow managed to escape the acronym) devices, and depending on the domain it’s often a Linux based device. Something we commonly see is that developers who are entering the embedded Linux space from the server or desktop direction are carrying over patterns from there out of habit.
Rapid changes in customer behaviour requires businesses to adapt at an ever increasing pace. The recent changes to our work and personal life has forced entire nations to work remotely and do all non essential shopping online. With every challenge in…
Rapid changes in customer behaviour requires businesses to adapt at an ever increasing pace. The recent changes to our work and personal life has forced entire nations to work remotely and do all non essential shopping online. With every challenge in…
DiUS is proud to be named as four-time ARN Innovation Awards 2019 finalists, in diverse categories.