Sisense

JULY 23, 2021

“While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused Using data to create a more modern Olympics.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

AWS Big Data

MAY 19, 2023

Orchestrating the run of and managing dependencies between these components is a key capability in a data strategy. Amazon Managed Workflows for Apache Airflows (Amazon MWAA) orchestrates data pipelines using distributed technologies including on-premises resources, AWS services, and third-party components.

Machine Learning 84

Machine Learning Metrics Big Data Management 84

AWS Big Data

APRIL 3, 2024

Furthermore, we delved into the seamless integration between Amazon DataZone and AWS Glue Data Quality. You can also use the Amazon DataZone APIs to integrate with external data quality providers, enabling you to maintain a comprehensive and robust data strategy within your AWS environment.

Data Quality 91

Data Quality Visualization Metadata Metrics 91

Anmut

NOVEMBER 10, 2020

The International Renewable Energy Agency (IRENA) defines digitalisation as ‘ converting data into value for the power sector’, believing digitalisation is crucial for the industry’s renewables transformation. IRENA understand that good data underpins digital, so do Ørsted.

Forecasting 52

Forecasting Data-driven Advertising ROI 52

Jen Stirrup

OCTOBER 21, 2019

I am mentoring and leading them, while delivering the project, setting a vision, generating and implementing data strategies, and slowly helping to mould the culture to be more data-driven as well as insight-driven. According to the Telegraph (2012), Female execs earn £423,390 less than men over careers. .

Data-driven 49

Data-driven Marketing Testing Management 49

Domino Data Lab

APRIL 3, 2019

So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84