How Changing Attitudes toward Data Engineering Impacts Growth

From edge to AI, data engineering courses can fuel massive growth for businesses. Market leaders influence the data engineering trends in more ways than it was previously thought. Apart from skills and technology, attitude is a key component in establishing the approach to data engineering processes for various industries. According to a latest research, 93% of the global businesses are either fully data driven or are planning to embrace data driven processes in the next 2-3 years.

This makes the role of data engineering courses and trainers extremely important in the current context of IT modernization with Cloud, AI Ops, and Compliance management.  In some industries, such as healthcare and internet marketing, data engineering is already making huge waves with the faster adoption of digital transformation. In others such as manufacturing and mining, data is still lagging. So, what is the real difference between the leaders who use data for digital transformation versus lagging ones who are missing out?

The answer is the difference in the attitude of the data leaders who handle the data engineering roadmaps.

Business leaders are extremely cautious about how they hire data engineers and Project managers for growth via data. Most look at data skills as only enablers, while others see data skills as only a means to fuel digital transformation efforts for Marketing and Sales, IT development, and Finance planning. It all boils down to the attitude of the Big Data leaders who use their expertise to hire data engineers that can make the ‘real’ impact on the data ecosystem.

role of data engineering courses

What’s the premise of attitude in data engineering?

In order to better understand how attitude impacts data engineering, it is important to access the right resources explaining the opportunities available in the data science industry. Apart from AI and Machine Learning applications that are more technology centric, “behavioral” skills and attitudes also impact the value chain. How?

70% of the data science companies acknowledge that there is a severe lack of skills and expertise in data projects. Despite such a gap, IT managers and data project managers never overhaul their hiring strategies with the CIO guidance. Nobody wants to lead the change, and solve the skills gaps once and for all. Reason: Managers believe that training costs would add to the overall budget of Digital transformation journeys, and these would severely impact the outcome of the results for which so much planning and resources have already been invested.

How to Solve the Attitude Issues?

Ultimately it all boils down to training and development. Things are changing slowly, but the effects are yet to show results. CIOs are equipping data engineering teams with better courses in data analytics, Cloud training, data integration, and AI and Machine Learning training online. In terms of uncertainties, these training efforts come very handily, enabling data engineers to leverage business opportunities and begin “coding” for the future, making a pivotal impact on the overall business strategy with data at the heart of every key operation.

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