Data Engineering with BDB

In this video, we have showcased how data engineers using BDB Platform can easily ingest data, perform transformations, and create data flows.
We'll focus on a restaurant analytics use case. We have restaurant sales data in a CSV file. First, we'll upload this file into the sandbox environment and enhance data quality through cleansing processes. Next, we'll orchestrate a Spark job for batch processing, transforming the data and transferring it to the consumer data source using a no-code/low-code approach.
Additionally, we'll showcase handling intricate real-time processes with advanced pipelines. This involves using our data science lab to develop notebooks, register jobs, export scripts to pipelines, and configure them with machine learning components for seamless execution of complex workflows.
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