The data warehouse, a relational database technology, makes all enterprise information actionable, and will continue to be prominent as a Data Architecture component. In the 2000s, a typical business would consolidate data from multiple relational databases, centralizing all this information through a data warehouse, and consequently streamlining business tasks. However, the business context has shifted […]
Data Virtualization Use Cases
Data virtualization, in a nutshell, utilizes data integration without replication. In this process, a single “virtual” data layer is created to provide data services to multiple users and applications at the same time. Why Data Virtualization Is a Necessity for Enterprises explains how data virtualization helps tackle data movement challenges by making a virtual dataset […]
Embracing the Cloud Native Ecosystem
Click to learn more about author Eric Drobisewski To keep pace with consumer expectations in today’s increasingly digitally-enabled world, companies large and small are evolving how they work to become more agile in product delivery, embracing new technologies to drive greater innovation, optimizing costs and empowering people to build new skill sets through a culture […]
How Execs Can Evolve as Industry Evolves
Click to learn more about author Leon Adato. Change is everywhere, and expectations are high. Whether it’s called digital transformation or digital modernization—or if we’re shooting at servitization—nearly every business is revolutionizing its processes and supply-chain flows. For success, executives must understand enacting digital efficiencies isn’t just about people in the backroom doing something obscure. Transformation […]
AtScale Brings Unprecedented Big Data Analytics Scale with 2020.1 Release
A recent press release reports, “AtScale, the intelligent data virtualization provider for advanced analytics, today announced an unprecedented leap in multi-cloud and hybrid cloud analytics, data platform flexibility and time-to-analysis with the launch of its Adaptive Analytics 2020.1 platform release. Redefining traditional data virtualization and delivering upon the promise of cloud transformation, AtScale 2020.1 provides […]
Denodo Platform Now Available on the Google Cloud Platform Marketplace
A new press release reports, “Denodo, the leader in data virtualization, today announced the availability of the Denodo Platform through Google Cloud Platform (GCP) Marketplace, making it easier for organizations to transition data to Google Cloud to accelerate cloud data analytics and data lake initiatives. As a subscription-based offering, the Denodo Platform on GCP Marketplace […]
Data Virtualization: An Agile Approach to Data Integration
Click to learn more about author Tejasvi Addagada. Data virtualization can facilitate integration of data in an agile or a change-driven style. Virtualization provides unified access to disparate data sources and provides data consumers an edge in data provisioning. The lack of platform governance has led to siloes in data platforms hosting data. Data virtualization is […]
Modernize Data Practices with DataOps
Back in 2015, a new term was introduced to the market: DataOps. “DataOps,” wrote Andy Palmer: “Is a Data Management method that emphasizes communication, collaboration, integration, automation and measurement of cooperation between data engineers, data scientists and other data professionals.” The practice was born out of the democratization of analytics and the implementation of built-for-purpose […]
Data Virtualization for a Hybrid World
Many organizations see the hybrid cloud and multi-cloud models as critical to their present business requirements, and to their future ones too. Organizations are paying more attention to the use of containers to help with simple and automated portability and scaling that can play an important role in accelerating cloud projects and deliverables; to cloud […]
Data Management vs. Data Virtualization
Data Management, as a principle, requires that data is brought to a single place, governed actively, and available in real time. It also includes the trust needed for business users to perform day-to-day business functions and to do it better than the competition. Data needs are contextual and based on the role of the user. […]