The year 2023 will be an important one for up-and-coming technologies like blockchain, cloud computing, data engineering, etc. As we step into 2023, data engineering consulting looks as promising as ever. In this article, we have compiled 5 exciting data engineering trends that you can keep your eyes on!
Top 5 Data Engineering Trends For 2023
Here are the top data engineering trends that will be leading the year 2023:
1. Data Democratization
Data democratization is the process of making data readily available and accessible to everyone who needs it. This process enables organizations to make better decisions, increase collaboration and innovation, and enhance productivity. In 2023, data democratization is becoming increasingly important as organizations are starting to realize the value of data in driving business decisions.
With access to data, Google Cloud professional data engineers & other data science experts can leverage the power of machine learning and artificial intelligence to identify trends and predict customer behavior.
2. Unistore For Data Management
Unistore is a new type of data management system that enables data to be moved from transactional databases to analysis-specific databases without the need for copying and moving the data between systems. This will reduce the number of systems that need to be maintained and help bridge the gap between operational transactional processing (OLTP) systems and operational analytical processing (OLAP) systems.
Unistore creates an abstraction layer over data sets, allowing the same data to be used across multiple applications. This can reduce the time and cost associated with data maintenance as well as improve accuracy. Unistore also enables different types of data to be combined, creating a more comprehensive view of the data.
Although Unistore is still relatively new, it has already gained traction within the data engineering space.
3. Data Cloud Cost Optimization
The ease of access and scalability of cloud storage and compute options have driven up cloud costs for organizations over the last few years. This can be attributed to multiple causes, such as storing multiple copies of the same data and duplication of work across different teams. In light of this, it has become increasingly important for organizations to optimize their spending on the cloud.
Data engineers will play a crucial role in this process. They need to leverage new technologies such as machine learning to identify and remove redundant data. They will also need to create strategies to centralize data storage and sharing while reducing duplication of work.
In conclusion, data engineers will have an integral role to play in helping organizations optimize their cloud costs.
4. More Specialized Rolls For Data Teams
Data teams are currently segmented primarily by the data processing stage that their work covers, such as data engineering, analytics engineering, and data science/analysis. These roles aren’t going anywhere in 2023, but they will be joined by more specialized roles to better meet business needs.
These specialized roles include Data reliability engineers, Data product managers, DevOps engineers, and Data architects.
These new roles are being created to provide more specialized, value-driven capabilities that have become increasingly important as organizations rely more heavily on their data teams to provide insights and generate revenue.
5. More Success For Machine Learning Projects
In October 2020, Gartner reported that only 53% of ML projects make it from prototype to production, indicating that many companies are struggling to implement ML successfully. For companies still developing a data-driven culture, the failure rate is likely even higher, with some estimates reaching 80% or more.
Google Cloud professional data engineers should place an increased focus on data quality and accuracy. This means having data processes in place that ensure data is collected, stored, and managed properly.
Automating processes and utilizing cloud computing resources can help lower costs and make ML more accessible to teams.
These are the 5 top data engineering trends for 2023. If you are looking for data engineering consulting, you can get in touch with Systango. Systango is a leading name when it comes to data engineering services and has helped many businesses form advanced data pipelines. So you can easily end your search for data engineering consultants for your business with Systango!
