CNNs employ convolution operations, primarily used for processing images. The network initiates the analysis by applying filters that aim to extract valuable image features using various convolutional kernels.
Data streaming enables us to build data integration in real-time. Unlike traditional batch processing, where data is collected and processed periodically, streaming data arrives continuously by and is processed on-the-fly.
We utilize our expertise in data analysis and visualization to construct charts and build them into dashboards. We adopt two distinct approaches for dashboard creation: a code-centric method and a low-code enterprise solution like Looker.
Navigating data analysis with established principles and communicating insights through visually engaging dashboards empowers us to extract value from data.
