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Data engineering and data science are emerging as the most crucial tools used by businesses for mining data diamonds – the new password for industrial success in the digital age. However, the primary barrier is created when the basic differences between data engineering and data science are not realised by decision makers in organizations that are willing to leverage these technologies. This article elucidates the nuances of both these terms and help business executives understand where these tools can be used to dig deeper for real data diamonds and process them for the growth of their busin ..read more

With the world reeling under the threat of the novel coronavirus, the significance of data engineering and data science technologies has grown multifold. Data analytics and data-driven insights are helping businesses make critical decisions and thrive in these uncertain times, especially when businesses are cutting cost, most commonly by making changes in the workforce. The dreadful impact of the outbreak of COVID-19 is reflected in a major economic downturn, and consequently, a large number of businesses have hit the ground. Even though the global lockdown has been detrimental to enterprises ..read more

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The rise of the digital age indicates a potential boost for the applications of data engineering and data science in most industrial areas. Especially in the manufacturing industry, data engineering technologies and tools based on data science, including data warehousing, are being employed widely. Despite the current slowdown in the economy, the manufacturing industry is preparing itself for the future. The industry is embracing data engineering and data science processes, mainly for reducing risks and maximizing profits. Evidently, the coming years will indicate the survival to revival jour ..read more