October 7, 2019
Live Webinar: Rakuten Migrates Data from 10 Million Customers to Snowflake and AtScaleSince its founding in 1997, Rakuten has helped shape the way people shop online, offering cash back, deals and shopping rewards on the world’s largest selection of products and services. With a mission to help its employees get insights from…
Posted by: Carole GunstOctober 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…
Posted by: Matthew ToomeySeptember 24, 2019
What is a Data Fabric?An Adaptive Analytics Fabric answers enterprise demand for agile, data-centric architectures for advanced analytics. Some of the top trends that data and analytics leaders need to address to be relevant and impactful in advancing their critical business priorities have been…
Posted by: Wendy BoucherSeptember 17, 2019
ETL vs ELT: What’s the Difference? & How to ChooseData Loading, part of the ETL trinity, is conceptually very easy. Where it gets interesting is - at what point do you do the loading? Pre or Post the Transformation, where data is transformed from one format or structure to…
Posted by: Matt BairdSeptember 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…
Posted by: Dave MarianiSeptember 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…
Posted by: Dan SchulwolfSeptember 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…
Posted by: Dan SchulwolfSeptember 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…
Posted by: Dan SchulwolfAugust 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…
Posted by: Charlie WongAugust 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…
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