Data is increasingly recognized as essential for organizations, yet managing diverse data sources and formats is a complex challenge. Data engineering has emerged as a solution, focusing on the design and implementation of systems for effective data collection, processing, and delivery. Analyst Gartner highlights the importance of collaboration between business and IT to facilitate timely data access for users. Essential skills for data engineers include expertise in SQL, data processing techniques, programming languages such as Python and Java, and understanding data storage and orchestration.
Data engineering involves collaboration between the business and IT to provide accessible and timely data to users like data scientists and analysts.
Data engineers are essential to unlock an organisation’s data value by designing systems to collect, store, transform, and deliver data at scale.
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