The article emphasizes the growing importance of data engineering in today's business landscape. Acknowledging the complexities of data management, the author draws on personal experience to outline best practices for creating a Data Engineering Center of Excellence. Highlights include the transformation of multiple teams into a cohesive unit focused on delivering quality data through effective data warehousing and analytics solutions. The author advocates for understanding data as essential to organizational success and provides insights for those looking to excel in data engineering roles.
It has never been a better time to be a data engineer. Over the last decade, we have seen a massive awakening of enterprises now recognizing their data as the company's heartbeat.
We built many data warehouses to store and centralize massive amounts of data generated from many OLTP sources, enabling fast analytics and reporting.
The objective is to enable our user-base to perform fast analytics and reporting on the data; so our analysts’ community and business users can make accurate data-driven decisions.
With the help of my team, I planned and prepared to manage the growth of our data month-over-month and address the changing reporting and analytics needs.
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