Updated October 2, 2019
How Adaptive Analytics Can Optimize Cloud Migration for the Healthcare IndustryThe healthcare industry is enthusiastically undergoing digital transformation and embracing hybrid cloud architectures. However, cloud migration in the healthcare industry comes with significant challenges. If there is any disruption to the migration process, or any compatibility issues between old and…
Updated September 10, 2019
5 Essential Tips for Successful Cloud Migration (and how to avoid the “Gotchas”)What is Cloud Migration? Cloud migration is the process of moving data and application hosting infrastructure from on-premise data centers to a public cloud hosting service like Amazon AWS, Google Cloud Platform or Microsoft Azure. Migrating your data center operations…
Updated September 9, 2019
Flexible, More Usable Data through Intelligent Data VirtualizationEnterprises migrating to the cloud must go beyond simply “lifting and shifting” data into the cloud and embrace an approach that fundamentally transforms how data will be used. AtScale enables the four important capabilities of intelligent data virtualization: Brings all…
Updated September 6, 2019
The Four Cloud Transformation Capabilities of an Adaptive Analytics FabricAn adaptive analytics fabric has the following four capabilities when bridging the gap between users and data: 1 - Bring all data (silos) to users’ fingertips IT organizations today have common server orchestration tools to manage their on-premises and cloud…
Updated September 5, 2019
Cloud Transformation: The Next Data Frontier for Business Intelligence, Machine Learning and AIIntelligent data virtualization will unlock your enterprise shared data intellect. Cloud transformation is happening. The shift to the cloud will drive $1.3T in IT spending by 2022 (Gartner) and spending on public cloud services will total $277B by 2021, a…
Updated August 26, 2019
Intelligent Data Virtualization: The Silver Bullet in Next-Gen Big Data GovernanceThe winners in today’s data-driven economy will be the organizations that can quickly, accurately, and consistently glean profitable business insights from their enterprise data warehouse. This means that robust data governance and analysis is one of the most valuable abilities…
Updated August 14, 2019
How Intelligent Data Virtualization Helps Orchestrate Security Policies Across Your Hybrid CloudData virtualization uses the concepts of abstraction to decouple data-consuming clients from the means of materializing the answers to their questions. Abstraction is the most powerful technique we have in computer science. As users demand more sophisticated software, and business…
Updated August 7, 2019
Five Areas Where Intelligent Data Virtualization Gives Retailers a Competitive EdgeToo many retailers are held back by their IT infrastructure, with key operational data scattered across fragmented systems. These silos and a lack of shared organizational insight put retailers’ competitive edge against both online and brick-and-mortar shops at great risk.…
Updated August 5, 2019
Supercharge your DataOps: CIO and CDO unite to create a shared data intellectEmbracing DataOps DataOps seeks to realize the insight-driven business by creating better ways to develop and deliver analytics across organizations. DataOps emphasizes interactions, working analytics, customer collaboration, experimentation and cross-functional ownership over tools, documentation, contracts, upfront design and siloed responsibilities…
Updated August 2, 2019
Cloud Data Warehouse Modeling: Traditional vs. NewWhat is a Cloud Data Warehouse? A cloud data warehouse is a database delivered in a public cloud as a managed service that is optimized for analytics, scale and ease of use. Cloud native data warehouses like Snowflake, Google BigQuery,…
