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Data & Analytics applications evolve and change to constantly match the needs of businesses and their users. We’re seeing a Data Revolution that’s shaping to be an unprecedented time in our industry, steering us to a new horizon of Data Warehousing.
Jun 02, 2022
As seen in our Given Trends 2022, we've identified three significant modalities that we predict will shape the Data & Analytics industry and accelerate business growth and data management practices: Data Mesh, Data Vault 2.0, and Data Fabric. These concepts may not be ultimately novice to the Data & Analytics industry; however, their use cases and innovative approaches to creating data-driven solutions are!
A new way of perceiving a modern data architecture. The concept of a Data Mesh is to introduce a decentralized approach to a Data Platform. This approach toward data warehousing and management enables any part of the business to generate its data capabilities aligned to its needs.
This solution defines data as products and assigns responsibilities to each team, but what does this offer in practice? It enables the elimination of bottlenecks typically found in centralized infrastructures. With this issue removed from the equation, data will always be readily available to those who need it—transforming the culture of silos in an organization and empowering teams from sales, marketing, IT, and so on to work with higher efficiency.
We've seen this concept take hold and transform the retail sector. Found in our Given Trends 2022 Insight pill, where a bottleneck leads to a new chunk of 70 percent of the company's data. Successful implementation of modern data architecture improved qualified data available and unlocked newfound possibilities for creating marketing campaigns. Insights that did not exist until they implemented a Data Mesh.
A relatively new way of unlocking value from already possessed data. Data Fabric is an architecture that enables data access and sharing in a distributed environment: a private, public, on-premises, or multi-cloud system. The attractiveness 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 components.
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. This information enables more effective decision-making, providing value through rapid access and insight over traditional data management practices.
Data Vault 2.0
Calling back to our Data Trends for 2021, we've seen the idea of a Data Vault evolve exponentially over time. Originating from the cloud, and DataOps, an agile framework, the Data Vault is a 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. Not only that, but it's also ideally suited for corporate reorganizations, acquisitions, and mergers.
These current trends are what we consider to be the future of data warehousing. From Data Mesh to Data Fabric to the Data Vault 2.0, the acceleration of the Data & Analytics industry is continuing to evolve. These trends are based on the cloud's immense potential to provide quality answers to the continuous demands for innovation and flexibility in organizations.
The needs of both businesses and their users are constantly evolving as Data & Analytics applications change and adapt. As a result of the Data Revolution, we are heading toward a new horizon of Data Warehousing.