Upcoming Data Engineering Technologies in 2023

1. DataOps and MLOps

DataOps and MLOps are methodologies that apply DevOps principles to data analytics and machine learning workflows. These approaches emphasize automation, continuous integration/continuous delivery (CI/CD), and a culture of collaboration between data scientists, engineers, and operations.

2. Augmented Analytics

Augmented analytics uses artificial intelligence (AI) and machine learning (ML) to automate data preparation, insight discovery, and insight sharing. It’s a trend that’s set to revolutionize how businesses handle data, making it easier for non-technical users to understand and use complex data.

Introduction

Data Engineering is a rapidly evolving field, with new technologies and trends emerging constantly. As we look ahead to 2023, there are several key trends that are poised to shape the future of data engineering. Let’s explore some of these exciting developments.

3. Multi-Cloud and Hybrid Cloud Environments

As businesses seek to avoid vendor lock-in and increase resilience, many are moving towards multi-cloud or hybrid cloud environments. These environments use multiple cloud computing services in a single network architecture.

4. Big Data & the Internet of Things (IoT)

The explosion of IoT devices has led to an influx of big data. Data engineers will continue to develop new ways to store, process, and analyze this data to extract valuable insights.

5. Natural Language Processing for Conversational Analytics

Natural Language Processing (NLP) is becoming increasingly important in the field of data analytics. It allows users to interact with data in a more natural and intuitive way, often through conversational interfaces.

6. Data Fabrics for Unstructured Data Analytics

Data fabrics provide a unified, intelligent, and integrated end-to-end platform that supports both structured and unstructured data across various storage locations.

Conclusion

The field of data engineering is set for some exciting developments in 2023. From the rise of DataOps and MLOps to the advent of augmented analytics and multi-cloud environments, these trends will shape the way businesses handle their data in the coming years. As a data engineer or someone interested in the field, staying abreast of these trends will be key to staying relevant in this fast-paced industry.