In this webinar, we will showcase the landscape of the most crucial Data Engineering (DE) areas and highlight the synergy between DE and domain services such as Networking, Cloud, Security, and Monitoring. We will present selected use cases of DE, including data architecture modeling and the brief decision making process behind designing a solution relevant for the business use case. Additionally, we will delve into the processing of large datasets (above 100GBs) in a time- and cost-effective manner, data preparation (cleaning, normalization, enrichment, shuffling) before the AI/ML processing (or in order to choose the best ML model). Finally, we will summarize the key aspects and have a Q&A session.