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,…
Updated July 26, 2019
Cloud Migration Challenges: Removing RoadblocksEnterprises are moving to the cloud, but this move to become more data-driven is not without major growing pains along the way. According to CMSWire, in fact, in 2019, only 31% of organizations consider themselves data-driven, compared with 37% just…
Updated July 26, 2019
7 Factors to Consider for Successful Cloud TransformationCloud migration is a reality. The cost savings, increased agility, and economic benefits are just too high for organizations to ignore. Enterprises are increasingly migrating, lifting, shifting and re-engineering to seize the promised benefits of the cloud. According to Gartner,…
Updated July 23, 2019
AtScale + Google BigQuery: Live Excel Connection and OLAP for a Powerful Multi-dimensional Analytics PlatformGoogle BigQuery revolutionized data warehouses with its cloud based, serverless, fully managed data platform. Turn BigQuery into a massively parallel, multi-dimensional powerhouse with AtScale. AtScale and Google BigQuery together provide a cost effective, business friendly, analytics solution that includes a…
