Key Data Engineering Trends to Watch for in 2023

The year 2023 will contiue to register digital transformation for organizations as they will embrace new ways of working, reaching customers, and providing value. There will be a significant paradigm shift from the emergence of AI-generated content to low-code data tools. It won't be wrong to say that the upcoming year will be an inflection point for data and machine learning technologies.?

The emerging data-powered tools and machine learning systems will radically transform work processes in days to come. The impact of digital transformation will be experienced across organizations, individuals, and society as a whole. As the prolonged economic downturn forces organizations to maximize ROI, digitization will continue to be one of the crucial levers to cut costs.

Here are the key data engineering trends to watch for in 2023

• Increase in Data Services

If we look at the size of the SaaS market in 2023, it has increased from 30 billion dollars in 2015 to 200 billion dollars in 2023. The steep growth in the Saas market indicates that data-producing tools will become more diverse.?

However, the customer lifecycle of each tool will reduce due to the increased consolidation of IT integration tools. Of course, the volume of data will continue to grow in 2023 and beyond, resulting in the increasing adoption of the number of Saas tools.

• Increased Adoption of Data Integration

With data becoming increasingly important, data integration will become a core facet of businesses. The integration tools will become more user-friendly, resulting in the adoption of all types of engineering that connect data sources with data destinations.

For companies that have terabytes of data spread across different software, connectivity plays a key role. Enterprises will increasingly adopt data Integration to overcome data silos and deeply enhance the data migration and distribution processes in real time.?

• Low- to No-Code will Become the Norm

According to a recent survey, the percentage of non-technical professionals who need to become data-savvy is as high as 58%. To stay relevant in their evolving jobs, they need to develop relevant data competencies.?

As the trend continues, 70% of the new applications developed will rely on ‘low-code’ and ‘no-code’ technologies. Fortunately, the technical skills needed to operate data tools will keep getting lower and lower. Consequently, the data engineers, including the non-technical workforce, will feel empowered to build their own data solutions.?

• Data Security will continue to be a Major Concern

The immense volume of data enterprises create, store and manipulate is growing by leaps and bounds, driving a greater need for data governance. In addition, the computing environment is also evolving continuously, creating more challenges to secure and monitor data.

The broadened data environment involves platforms like the public cloud, enterprise data centers, and numerous devices ranging from Internet of Things (IoT) sensors to robots and remote servers that will need strict control of data.

In view of the same, multiple new privacy regulations have been enacted, including the California Consumer Protection Act (CCPA) and Europe’s General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA), protecting electronic health records, and the Sarbanes-Oxley Act (SOX), protecting shareholders from financial frauds.

The value of data has never been more important than it is today. Inevitably, data will be a major contributor to future innovations and profitability, making trustworthiness increasingly important to consumers.?

To sum it up, technology will move forward in these possible directions as data takes on more meaning by assessing and reassessing its value addition to enterprises. It won't be wrong to say that relevant data engineering investments will play a crucial role in making businesses more nimble, innovative, and competitive in 2023.