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Volume 30, Issue 3

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According to Fortune Magazine, “Cyber Monday 2016 was the biggest day in the history of U.S. e-commerce. Consumers spent $3.45 billion online…”

Also, Practical Ecommerce reports that “consumers spent a total of $12.8 billion online in the U.S. during the five-day period from Thanksgiving Day through Cyber Monday, 2016”. Black Friday 2016 was the first day to generate more than one billion dollars in online sales from mobile devices.

Black Friday, the day after Thanksgiving Day in the U.S., used to be the single biggest retail day of the year, officially kicking off the Holiday shopping season. In recent years, that one day has turned into five – some brick and mortar retailers are open on Thanksgiving Day, and the weekend sales stretch into Monday. And of course, online shopping is available anytime, day or night, from a desktop, pad or phone, with a concentration on Cyber Monday.

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http://www.datacenterknowledge.com/industry-perspectives/your-data-center-ready-black-friday-and-cyber-monday-onslaughts

Cyberattacks from other countries are now seen as a major threat to the U.S. by 72 percent of Americans, according to a national survey from the Pew Research Center.

This view has changed little in recent years, apparently. But what has changed is public opinions about other global threats.

Take climate change—now viewed as a major threat by 58 percent of Americans, up 7 points since January, and the highest share since 2009.

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http://www.iii.org/insuranceindustryblog/?p=5597

Data warehouse developers have historically walked a narrow line between data quality and business agility. At the same time, they balance the needs and relationships between IT and internal business clients.  Technology has answered this dilemma with two separate approaches: the data vault optimized for data warehouse agility, and data warehouse automation for faster and more reliable development.

Data vault modeling is designed for long-term historical storage of data from multiple operational systems, looking at data associated with auditing, tracing of data, loading speed and resilience. Data vault inventor, Dan Linstedt, first conceived this approach in the early 2000s. Data vault modeling is now in its second generation.   

The data vault is a hybrid of third normal (3NF) and star-schema forms that offers significant benefits and interesting challenges. On the plus side, it promises agility to address rapid changes in business needs, separates ingestion concerns from various business uses and promotes data quality best practices. However, its structure is enormously complex with thought provoking design choices.

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http://www.datacenterknowledge.com/industry-perspectives/overcoming-common-roadblocks-data-vault-development

Wednesday, 15 November 2017 22:25

Nuclear Preparedness in Tense Times

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Wednesday, 15 November 2017 22:19

Reducing the Impact of a Recall

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