data virtualization illustraionCreating a modern data platform designed to support your current and future needs is critical in a data-driven organization. Business leaders need to quickly access data—and to trust the accuracy of that data—to make better decisions.

As organizations grow and evolve, many find a need for more sophisticated analytics across an ever-increasing amount of digital and consumer data. But most legacy data architectures do not have a unified data model, and they are hard-wired toward specific BI tools that do not support self-service analytics.

One of the biggest obstacles to this needed agility is poorly integrated data, which results in five key challenges:

  1. The inability to support a logical data warehouse architecture to enable advanced analytics
  2. Unreliable Data as a Service (DaaS) implementations
  3. Ad hoc model development that creates inconsistencies across the enterprise
  4. Restrictions to cloud, on-premises, and hybrid data architecture design
  5. Silos within big data implementations

In addition, many organizations lack the expertise required to implement trusted business views over disparate data sources, inhibiting their ability to act cohesively in pursuit of their business goals. One solution to these challenges is to utilize data virtualization.

Using data virtualization to improve data access

Data virtualization is a logical data layer that integrates all enterprise data siloed across disparate systems (regardless of data format, location, or latency), manages the unified data for centralized security and governance, and delivers it to business users in real-time. It provides a centralized, secure layer to catalog, search, discover and govern the unified data and its relationships. As business users drill down into reports, data virtualization fetches the data from the underlying source systems.

To help support the critical business needs of organizations with lots of data, Sirius has partnered with Denodo, a leader in data virtualization, to combine state-of-the-art professional services with the industry’s most advanced data virtualization platform to streamline data access.

Sirius and Denodo leverage data virtualization to modernize legacy systems, like traditional data warehouses, enabling them to scale easily by offloading data to the cloud, for example, without replacing these critical systems or tearing out existing business processes.

How does Denodo work?

The Denodo platform sits in a layer between data consumers and the actual sources of that data. The platform contains no data, only the access information required by each source, which shields consumers from this complexity. By presenting data consumers with a single virtual data layer that provides a real-time view across multiple disparate sources, data consumers can access a single version of the truth and query across the heterogeneous sources without having to understand their different requirements.

With the Denodo platform, new sources can be added relatively quickly, including emerging data storage architectures such as cloud or big data. Because the Denodo Platform supports a wide variety of legacy and modern data sources, it modernizes data infrastructures without forcing organizations to replace existing investments, including traditional data warehouses, data marts, or ETL processes.

Companies gain a single view of the truth and a single point to manage security and governance protocols while leaving all of the source data in its original location. Even when the source data is moved, the data virtualization layer manages such complexities on behalf of the user and any consuming applications, providing real-time access to integrated data regardless of its location.

Benefits of using Denodo:

  • Provides a complete picture of enterprise information by combining web, cloud, streaming, and structured data
  • Let’s you realize ROI within six months, with the flexibility to adjust to unforeseen changes
  • Achieves an 80% reduction in integration costs in terms of resources and technology
  • Attains real-time integration and data access, enabling faster business decisions
  • Reduces ETL project timelines of six to 12 months to just three to six weeks

Build a path to self-service analytics

Sirius can help organizations address data access shortcomings with a path toward a consolidated data environment and a unified data model, which is a core aspect of enabling self-service analytics. By virtually unifying your data with Denodo data virtualization software, you greatly accelerate the time to enabling self-service analytics. Sirius reference architectures allow you to unify data by connecting to the data sources in place.

Key features of Denodo and Sirius’ solution:

  • It does not require extensive data engineering
  • BI packages can be ported to Denodo and extended to other BI tools
  • Connects to external data sources without data engineering
  • Analysts can create their own data sets with a moderate technical skillset
  • Enables data sharing
  • Achieves self-service analytics in less than three months (on average)

To see an example of how this solution works, view the “Exhibit A” sample reference architecture below, which unifies data using Denodo with data from Snowflake and IBM Cloud Pak for Data (Netezza Performance Server) to break down walls and enable data access through any available BI tool. This architecture makes data that used to be exclusive to Cognos accessible from Tableau and vice versa.

Exhibit A: Sample reference architecture for self-service analytics

modern data system architectureWorking together, Sirius and Denodo enable companies to overcome data challenges to gain the agility to respond flexibly to rapidly changing business needs.

 

Want to learn more? Read our 10 Things You Need to Know About Data Virtualization blog or watch our on-demand webinar, Accelerating Cloud Modernization With Data Virtualization.

Do you have specific questions about data virtualization or need help building a modern data platform? Contact us to learn more! Sirius can help you leverage cloud and hybrid technologies and implement next-generation data platforms that offer fast elasticity, unlimited concurrency, secured data sharing, high availability, and comprehensive security.