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

July 26, 2019

Removing Cloud Migration Roadblocks

Enterprises are moving to the cloud, but this move to become more data-driven is not without major growing pains along the way. According to CMSWire, in fact, in 2019, only 31% of organizations consider themselves data-driven, compared with 37% just…

Posted by: Charlie Wong

What is Data Extraction?

Data extraction is the process of retrieving data from data sources for further data processing or storage. Data extraction is perhaps the most important part of the Extract/Translate/Load (ETL) process because it inherently includes the decision making on which data…

Posted by: Matt Baird

7 Factors to Consider for Successful Cloud Transformation

Cloud migration is a reality. The cost savings, increased agility, and economic benefits are just too high for organizations to ignore. Enterprises are increasingly migrating, lifting, shifting and re-engineering to seize the promised benefits of the cloud. According to Gartner,…

Posted by: Charlie Wong

July 22, 2019

Four Strategies for Risk-Free Cloud Data Migration

Many organizations experience pain working out the early stages of the cloud migration process due to the complexity of data platforms, the lack of capable data orchestration tools, and the requirement to maintain proper security and governance for data—whether it…

Posted by: Charlie Wong

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…

Posted by: Dave Mariani