Even more interesting is the potential for these technologies to solve rudimentary tasks, such as profiling, modeling, and integrating data, streamlining processes, and improving Data Quality. LLMs are expected to play a crucial role in enhancing data engineering and data operations.
Trend: Companies Will Invest in Data Discovery Tools and Data Catalogs
Data Governance has evolved over the last few years. Previously, it malaysia whatsapp number data was focused on securing data and managing risk, but it has since shifted to making data widely available while minimizing risks. The concept of data-as-a-product is the biggest change, because it shifts responsibility to the teams who are producing, owning, or serving the data.
Companies are investing in data discovery tools and data catalogs to gain visibility into their data, including its sources, ownership, structure, and quality. Data Governance now involves making data visible, discoverable, reusable, and useful.
Trend:
Data observability has gained popularity in the last two or three years, driven by the increased use of data analytics and the need for Data Quality. It offers a granular understanding of data at runtime, helping organizations track the flow of data and identify Data Quality issues, operational problems, and changes to data systems. It provides a lot of value to engineers and operational people in terms of visibility and an understanding of what’s going on.