ThoughtSpot

SEPTEMBER 6, 2023

The pathway from ETL to actionable analytics can often feel disconnected and cumbersome, leading to frustration for data teams and long wait times for business users. That’s why ThoughtSpot and Fivetran are joining forces to decrease the amount of time, steps, and effort required to go from raw data to AI-powered insights.

Data Workflow 91

Data Workflow Raw Data Data Lake Business Intelligence 91

ThoughtSpot

SEPTEMBER 12, 2023

ThoughtSpot users can easily create content with data using our intuitive, AI-powered search experience. For example, if there are ten “Sales Performance” Liveboards created by different authors, you may wonder which is the golden version—the Liveboard that is reviewed, approved, and consistently maintained.

Data Transparency 84

Data Transparency Utilities Accessible Accessibility 84

ThoughtSpot

JUNE 28, 2023

cl release of ThoughtSpot Analytics Cloud. ThoughtSpot administrators can now link their instances to a GitHub repository and utilize continuous integration and deployment (CI/CD) best practices to effectively manage their organization's analytic content throughout its lifecycle.

Metadata 72

Metadata Accessible Accessibility Utilities 72

Towards Data Science

DECEMBER 4, 2023

Business Scenario & Data Architecture Imagine this: next year, a new team on the grid, Red Thunder Racing, will call us (yes, me and you) to set up their new data infrastructure. Racing teams are improving performance with a phenomenal data-driven approach, making improvements millisecond by millisecond.

Data Engineering 87

Data Engineering Data Engineer Engineering Data Lake 87

Monte Carlo

MARCH 28, 2023

Practicalities and tradeoffs Image courtesy of the authors. While you can do heavier transformations by hard coding pipelines in Python, and some have advocated for doing just that to deliver data pre-modeled to the warehouse, most data teams choose not to do so for expediency and visibility/quality reasons. There are real trade-offs.

Data Warehouse 126

Data Warehouse Raw Data Data Pipeline Software Engineer 126

Towards Data Science

APRIL 3, 2023

Image courtesy of the authors. While you can do heavier transformations by hard coding pipelines in Python, and some have advocated for doing just that to deliver data pre-modeled to the warehouse, most data teams choose not to do so for expediency and visibility/quality reasons. The post-modern data stack is coming. Are we ready?

Data Engineering 98

Data Engineering Data Engineer Engineering Data Warehouse 98

Databand.ai

DECEMBER 29, 2022

Quality, Engineering, Security) Frequent keynote speaker, book author, community leader (e.g. As a consultant, author, and speaker with over two decades of experience, he has partnered with countless enterprises, including Dun & Bradstreet, Nielsen, Microsoft, Kantar, and NPD, to improve their data management.

BI 52

BI Consulting Data Science Data Governance 52