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,…
July 18, 2019
Interactive, Large Volume AI/ML Queries At Scale And Without Data Movement for Self-Service Analytics EmpowermentAtScale’s 2019.2 product release introduces a time-series and time-relative analysis capability for large volumes of data across disparate databases and platforms. This enables data analyst and data science teams to easily access large volumes of time-series data and quickly query…
July 11, 2019
DATA VIRTUALIZATION VS. DATA WAREHOUSE*Editor’s note: This is an update to the "Why You Need An Advanced Analytics Fabric " post we published a while back. This update expands on the challenges of a traditional data warehouse and outlines the 10 requirements of intelligent data…
June 24, 2019
Why AtScale Wins in the Cloud Data Platform EcosystemTechnology is risky. I understand risk. It was risky starting a company. It was risky for our amazing investors to invest in us. Risk is part of life and cannot be avoided because with risk comes the potential for reward.…
