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Saved by uncleflo on December 19th, 2019.
Never search for voucher codes again. With one click, Honey’s smart shopping assistant will automatically apply every discount to your cart – in seconds. It only takes two clicks to add Honey to 115,711 Chrome Store reviews. Add Honey for free.
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Saved by uncleflo on November 29th, 2018.
With us your startup is 6 times more likely to succeed. We have cofounded over 40 tech startups in the last 5 years, with a success rate far above the industry average.
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Saved by uncleflo on October 26th, 2018.
Fstoppers is an online community aimed at educating and inspiring photographers, videographers, and creative professionals. Started in 2010 by founders Patrick Hall and Lee Morris, Fstoppers has grown into one of the top resources for photography lighting, gear reviews, business tips, behind the scenes, and industry news. Today the website reaches over 1.5 million photographers and averages around 6 million pageviews a month. Fstoppers has been featured on NPR, The Huffington Post, Resource Magazine, Mashable, Gizmodo, Tech Crunch, Geek.com, Facebook Business, Vimeo Staff Picks, Adobe, Life Hacker, ABC News, BuzzFeed, and many other industry leading news oulets.
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Saved by uncleflo on June 27th, 2018.
This document discusses the creation and maintenance of "Summary Tables". It is a companion to the document on Data Warehousing Techniques. The basic terminology ("Fact Table", "Normalization", etc) is covered in that document. Summary tables are a performance necessity for large tables. MariaDB and MySQL do not provide any automated way to create such, so I am providing techniques here. (Other vendors provide something similar with "materialized views".) When you have millions or billions of rows, it takes a long time to summarize the data to present counts, totals, averages, etc, in a size that is readily digestible by humans. By computing and saving subtotals as the data comes in, one can make "reports" run much faster. (I have seen 10x to 1000x speedups.) The subtotals go into a "summary table". This document guides you on efficiency in both creating and using such tables.
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Saved by uncleflo on October 15th, 2016.
A visualization of global weather conditions, forecast by supercomputers, updated every three hours. Ocean surface, current estimates, updated every five days, ocean surface temperatures and anomaly from daily average (1981-2011)
updated daily. Ocean waves updated every three hours.
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