October 18, 2019
Should You Build or Buy Your Universal Semantic Layer?It only makes sense that organizations are investing in universal semantic layers. Providing analysts and business users universal access to data that can be understood by their BI tool of choice has become mission-critical. And that’s exactly what a universal…
October 17, 2019
Solving the Challenges of Big Data in Finance with an Adaptive Analytics FabricintroBanking isn’t exactly a sexy industry. Thus, customer ‘delight’ seems to be something that would be completely out of their element—customers aren’t excitedly lining up to go to the bank like they do at the store the morning of an…
October 9, 2019
How Digital Transformation Enables Big Data AnalyticsThere's sometimes a misconception in the understanding of Big Data. Isn't is just analytics? They're related, but in this movement, data has become not only bigger but more complex meaning that anyone seeking to glean intelligence from Big Data must…
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…
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…
September 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…
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…
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…
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…
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…
