The Future of Data Engineering

As the data engineering megatrends influence the companies across industries, what will the big alterations be in the field of data and for the role of a data engineer?

 

Data will be discussed at the board level: There will definitely change in data engineering, but one trend that will shape organizations in a significant way over the next 10 years will be the growing value and responsibility of data executives. In the past, data engineering has been important but not critical, it is now treated as a required business function for modern organizations. As data science becomes more prevalent, the need for data engineering solutions in the UK will significantly augment-both for scale as well as velocity. Advanced companies may require data science-heavy machine learning and a tight alignment between data science as well as engineering. 

 

Committed data engineering support for every team: Data and data functions will become first-class citizens. In the executive and day-to-day operations of businesses, we have already seen the commencement of centralized data engineering teams. They offer data products and services to other parts of society. The most advanced companies are proactively creating dedicated resources for individual teams. Instead of using data to accomplish prevailing tasks with more velocity and impact. The strategic collaboration will be the standard in business operations and organizational structure. 

 

An increased number of people solving data problems: As the megatrend hits its stride, the software industry will rise to the occasion. The companies have increased the number of people, who have built multi-billion dollar businesses solving different problems around data processing and storage. 

 

Technology for transferring data will become commoditized: For many companies today, moving data is still a non-trivial problem. The companies are able to build multi-billion-dollar enterprises. Still, they can achieve less than 10% market penetration. Many companies today have to make some sort of sacrifice in building pipelines; whether that’s eating costs inside if they build themselves, or steering the process of vendor assortment, new know-how, etc. More companies are moving to an “owned data” infrastructure so that they can decline the number of data silos and decrease the cost of loading copies of their data across multiple vendors. 

 

Real-time infrastructure will become standard: As many vendors are there in the Customer Data Platform and Customer Data Pipeline spaces, there are essentially very few who enable real-time use cases out of the box. Customer Data Platforms excel at things such as customer profiles and customer journey activity-not the pipelines that get the data into the system. Customer Data Pipelines, on the other hand, is a non-trivial technology to build and commercialize at scale. 

 

The future looks good for data engineers and businesses who value data: These trends are good news for both data engineers and the companies who employ them. As data modernization solution in the UK becomes more valued inside of businesses and the technology makes what were once challenging problems easy to solve. The same is true for businesses-resources that were once spent on building and maintaining customer data infrastructure that will be focused on building better products and services.