Top Data Engineering Techniques To Attain Business Transformation
Enterprises are embracing data-driven decision-making to prosper in this era of digital transformation. And a key factor in the success of data analytics initiatives is the availability of high-quality data in a trustworthy manner. Building infrastructure, managing jobs, and handling ad-hoc requests from the analytics and BI teams are all responsibilities shared by the data engineering teams. And it is at this point that the data engineers are required to develop and construct their data pipelines while taking into account a wider range of dependencies and requirements. But is there a rational method to organize it? The answer, then, is both yes and no. You must first comprehend the current situation, particularly how the dispersion of the data team, the decentralization of the modern data stack, and the emergence of the cloud have all altered the role of data engineering irrevocably. Also discussed is how a tried-and-true framework combined with excellent data engineering methods can ...