September 17, 2019

ETL vs ELT: What’s the Difference? & How to Choose

Data 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 Baird

September 9, 2019

Flexible, More Usable Data through Intelligent Data Virtualization

Enterprises 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 Schulwolf

September 6, 2019

The Four Cloud Transformation Capabilities of an Adaptive Analytics Fabric

An 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 Schulwolf

August 5, 2019

Supercharge your DataOps: CIO and CDO unite to create a shared data intellect

Embracing 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…

Posted by: Charlie Wong

August 2, 2019

How to Data Model on a Cloud Data Warehouse

What 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,…

Posted by: Dave Mariani

September 17, 2019

ETL vs ELT: What’s the Difference? & How to Choose

Data 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 Baird

September 9, 2019

Flexible, More Usable Data through Intelligent Data Virtualization

Enterprises 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 Schulwolf

September 6, 2019

The Four Cloud Transformation Capabilities of an Adaptive Analytics Fabric

An 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 Schulwolf

August 5, 2019

Supercharge your DataOps: CIO and CDO unite to create a shared data intellect

Embracing 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…

Posted by: Charlie Wong

August 2, 2019

How to Data Model on a Cloud Data Warehouse

What 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,…

Posted by: Dave Mariani