October 24, 2019
How to Become Truly Data-DrivenCompanies today don’t have the luxury of waiting to become data-driven while younger and more agile competitors are nipping at their heels. The pressure is on now to consolidate all data across the organization for a single view into operations,…
October 21, 2019
Employee Spotlight: Brandon RevelliTeam AtScale is always evolving. Since being founded in 2013 in San Mateo, we’ve traveled across the country and in late 2018, broke ground on a second home in Boston. Throughout these six years, we’ve been recognized in CRN’s Emerginging…
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 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 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…
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.…
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…
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,…
