The Data Administration Newsletter
MARCH 20, 2024
In my 2016 book, “Growing Business Intelligence”[i] (a book about Agile BI), I quoted from a 2014 article by Dave Thomas, one of the signers of the “Agile Manifesto,” in which he recommended retiring […]
AWS Machine Learning Blog
JUNE 3, 2025
Bevar Ukraine was established in 2014 and has been at the forefront of supporting Ukrainian refugees in Denmark since the full-scale war in 2022, providing assistance to over 30,000 Ukrainians with housing, job search, and integration services.
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AWS Machine Learning Blog
DECEMBER 4, 2024
In April 2014, Australia had a wheat shortage due to drought conditions, impacting costs for grain-based baby food products (source 2). This aligns with the low revenue on 4/26/2014 as manufacturers likely passed along higher costs to consumers.
Smart Data Collective
JULY 7, 2022
In March 2014, the IMF held a meeting with central bankers and financial regulators from over 25 countries to discuss the implications of Bitcoin. In July 2014, the IMF itself recognized Bitcoin as a “convertible virtual currency.” These include Argentina, Ecuador, Iceland, and Zimbabwe.
Dataconomy
SEPTEMBER 27, 2023
Data science and analytics MCSA and MCSE certifications can also lead to roles in data science and analytics, such as data analyst, data scientist, or business intelligence developer. Data analysts collect, clean, and analyze data to extract insights that can help businesses make better decisions.
phData
NOVEMBER 9, 2023
A data warehouse is a centralized and structured storage system that enables organizations to efficiently store, manage, and analyze large volumes of data for business intelligence and reporting purposes. What is a Data Lake? A Data Lake is a location to store raw data that is in any format that an organization may produce or collect.
Smart Data Collective
FEBRUARY 23, 2022
Back in 2014, Gordon Hui wrote an article in Harvard Business Review about the ways the Internet of Things changes business models. Sure, employees seldom accept change readily and are prone to resist organizational transformations caused by new technological changes. But a leader can manage change by explaining its benefits.
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