The Future of Data Warehousing

Data & Analytics applications evolve and change to constantly match the needs of businesses and their users. We’re currently seeing a Data Revolution that’s steering us toward a new horizon of Data Warehousing.

Data Mesh, Data Vault 2.0, and Data Fabric are the three most significant modalities that we predict will shape the Data & Analytics industry in the coming years. While these concepts are ultimately not novel to the industry, their use cases and innovative applications for creating data-driven solutions are taking the field by storm!

Data Mesh

The concept of a Data Mesh is a new way of perceiving a modern data architecture by introducing a decentralized approach to a Data Platform. This approach toward data warehousing and management enables any part of the business to generate data capabilities that are well aligned to its individual needs.

This solution defines data as a product and assigns responsibilities to each team. In practice, it enables the elimination of bottlenecks typically found in centralized infrastructures. With this obstacle removed from the equation, data remains readily available to those who need it—transforming the culture of silos in organizations and empowering teams from sales, marketing, IT, and beyond to collaborate with greater efficiency.

We have seen this concept transform the retail sector in particular. Successful implementation of a modern data architecture can increase the available amount of qualified data and unlock newfound possibilities for creating targeted marketing campaigns - insights that did not exist until a Data Mesh was implemented.

Data Fabric

Data Fabric is a relatively new way of unlocking value from data that is already in the organization’s hands. It is an architecture that enables data access and sharing in a distributed environment: private, public, on-premise, or multi-cloud systems. The value of implementing a Data Fabric concept in a data-driven strategy is that it relies on rich metadata, automation processes, and AI to solve data quality issues and other related challenges.

This layer of scalable data and connection processes automates ingestion, selection, and integration by circumventing data silos. The "data fabric" continuously identifies and connects data from disparate applications, discovering unique and business-relevant relationships. These insights then enable more effective decision-making, providing value through rapid access and insight compared to traditional data management practices. 

Data Vault 2.0

The concept of Data Vaults has evolved exponentially over time. Originating from the cloud and DataOps, the Data Vault is an agile framework based on collaborative configuration and management of technologies, processes, and data. Adopting this modality for data warehousing should be considered in scenarios where there are many data sources with frequent additions and changes that need to be integrated into the data warehouse. Data Vaults are also ideally suited for corporate reorganizations, acquisitions, and mergers.

From Data Mesh to Data Fabric to Data Vault 2.0, the Data & Analytics industry continues to evolve at a rapid pace. These predicted trends are rooted in the cloud's potential to provide quality solutions for the continuous demands for innovation and flexibility in organizations. 

While the needs of both businesses and customers are constantly evolving, Data & Analytics continue to change and adapt to lead the Data Revolution and bring forth a new era of Data Warehousing. SDG Group builds custom solutions for businesses looking to update their data management systems in order to take advantage of modern solutions and the insights they provide. Contact us today to learn how we can help you meet your business goals with strategic data-driven strategies.