The Top 4 Emerging Trends for DataOps in 2024
The data landscape is continuously evolving, and the role of DataOps in reshaping how businesses approach data integration, quality, and governance has become even bigger. DataOps, a methodology blending these critical elements, enables businesses to streamline and automate the entire data pipeline. As a result, businesses can make data-driven decisions more quickly and efficiently using a team of data engineers and scientists who enable companies to use actionable insights for a strategic advantage.
In this blog post, we’ve identified and described four DataOps trends that will reconfigure the digital landscape. Let’s take a look.
Trend 1: Data Democratization Using Fabrics and Mesh
The process of data democratization makes data accessible and consumable for every individual in an enterprise, regardless of their technical acumen. Data fabrics and mesh have gained popularity because they play central roles in ensuring data democratization.
Data fabric is a data management structure that consolidates data from myriad sources into a unified view. It enables users to find and access required data. Similarly, mesh provides domain experts more control over their information and facilitates better data quality and governance. Data fabric and mesh are highly instrumental in delivering data democratization. Not only do these technologies improve data access but also enable users to make informed decisions.
Trend 2: Faster Adoption of Industry 4.0 Tech
Research indicates that the Industry 4.0 Market will reach around USD 377.30 Billion by 2030. The growth of Industry 4.0 technological solutions has brought a paradigm shift in the way companies extract and use actionable data insights. Many companies are investing in technologies such as AI, machine learning, and IoT to leverage data accurately and securely. Industry 4.0 technologies improve productivity, increase speed of operations, and provide better security.
Trend 3: Emphasizing GDPR Compliance through Masking
When an organization uses masking to protect their data sensitive data, they are, in turn, protecting the privacy of their customers and employees. Consequently, the risk of data breaches is reduced greatly. The process of masking redacts highly sensitive information that is leveraged for gaining insights and machine learning. Ultimately, organizations can ensure that data is not used in ways that could disturb the GDPR regulations, such as profiling or targeting individuals.
Trend 4: A Growth of Usage of DataOps
The growing impact of DataOps strategies has been studied by Enterprise Strategy Group. As per its research, 54% of organizations used dataOps strategies to improve data access, while 52% acknowledged its role in enhancing data quality, accuracy, agility, and governance.
Overall, DataOps has reimagined the data-centric landscape, enabling businesses to deliver value quickly and securely. To take a giant leap and secure the future, companies must take advantage of these trends.
Learn more about these trends in our upcoming webinar on Dec. 6, 2023, at 1 PM EST/noon CST/10 am PST, featuring Stephen Catanzano, Senior Analyst of Data Management at ESG, and Vance Loiselle, CEO of Adeptia.
Discover the top DataOps trends outlined in the ESG research report and gain insights into how your business can use these trends to unlock the DataOps opportunities. Register today!