Top 2023 Data Engineering Trends to Look Out For
As data engineering continues to grow in popularity and importance across industries, keeping up with the latest trends is essential. In this article, we’ll discuss the 4 future trends likely to play out this year and how you can take advantage of all the cutting-edge advancements progressing in data engineering.
Automation of Data Processing and Preparation
2023 isn’t going to be the only year you hear about automating data processing and preparation as companies strive for efficiency and cost savings. This is because automation tools will enable data engineers to perform tasks such as cleansing, normalizing, and merging datasets quickly and efficiently. In addition to allowing more time to focus on complex tasks, it ensures no human error is involved, paving the way for faster decision-making, insights generation, and even predictive analytics!
Data Cloud Cost Optimization
As the need for rapid data engineering has skyrocketed, so too have steep cloud costs. This is mainly due to how accessible and elastic storage/compute options are in the cloud, along with relatively new best practices in cloud cost optimization. Since the demand has reached unprecedented heights, so too have the expenses for organizations across different sectors. That’s why in 2023, we’ll see data engineers playing a pivotal role in optimizing resources in the cloud.
Data Catalog, Observability, and Quality
As discussed, optimizing cloud resource usage will be a key focus area in the coming year. However, the key to achieving that faster and more effectively is data catalogs, observability, and quality. Data catalogs will become more accurate and powerful with advances in metadata management, allowing organizations to gain insights into their data without spending massive amounts of time exploring large datasets. This will also help organizations stay current on their most recent datasets while providing richer context and a deeper understanding of the stored data. By tracing data lineage, data engineers can determine how a dataset has been used in the past, allowing them to prepare it for future use with confidence. Additionally, observability solutions such as AI-driven anomaly detection will enable data engineers to detect any issues before it causes operational disruption quickly. Finally, improved quality assurance solutions like automated tests that check for bugs and malicious code will ensure that any changes in the data engineering system comply with safety requirements.
Data democratization is the process of making data readily available and accessible to everyone who needs it within your organization, leading to better decision-making, improved collaboration, and innovation, as well as increased productivity. That’s why businesses will see that data democratization will be the key to their success in 2023 and beyond, as this will allow data engineers to deliver accessible, protected data to various organizational stakeholders — enabling them to gain insights from their data quickly and easily. In addition, empowering non-technical users with accessible data also ensures that everyone understands how their systems work — leading to increased trust in the decisions being made.
Being aware of the latest trends in data engineering is a great way to make sure you stay ahead as a modern data engineer. While these five trends give us an idea of what to expect in 2023, the landscape will continue to evolve, and new technologies are sure to be introduced in the upcoming years. As a result, it’s important for data engineers to stay curious and learn about any innovative ideas that could help them advance in their field.