Part 4/11:
This advancement allows data teams to focus on higher-value activities such as strategy and analysis rather than routine maintenance.
Overcoming Challenges in Data Engineering
Malik highlights the major bottlenecks in current data engineering—time-consuming processes, the need for specialized expertise across diverse domains, and limited automation. Projects often take months or years, hindered by siloed tools and manual workflows. This hampers organizations from rapidly deriving insights and value from their data.