There is no doubt Jean Paul Gaultier is one of France’s most remarkable contemporary designers – the enfant terrible of the fashion industry, renowned for his striking creations and cheeky sense of humour. This all-access documentary looks at his latest subversive obsession, neither a dress nor a perfume but the rather lavish Fashion Freak Show in one of the most famous performance halls of the world, Folies Bergères.
Taking a deep-dive into the eccentric universe of Gaultier, Yann L’Hénoret follows the conception of the ultra-luxe Fashion Freak Show cabaret, shooting the film’s footage across a six-month period, and capturing appearances from the likes of Madonna, Nile Rodgers and Marion Cotillard. L’Hénoret showcases in intimate detail the high-style choreography, original music, extravagant costume designs and immersive set design. He also talks to Gaultier about his experiences with Pierre Cardin, Jacques Esterel and Jean Patou, and pays tribute to the people who influenced him, including Josephine Baker.
This is the best of French glamour presented in the inimitable style of Gaultier that we’ve all come to love, and that shows no sign of diminishing as he moves into the latter stages of his brilliant career.
#JeanPaulGaultier #FreakAndChic #Fashion
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This article has been motivated by a response I gave to a problem raised on an Oracle developer forum. Our requirement is to produce a report that details customer spending for each month of the year. Our database only records actual spend, so for any given month, data for dormant or idle customers will have to be generated.
First, well create a mock CUSTOMER_ORDERS table with sparse data to represent customer spending. To keep the example simple, well denormalise the customer name onto the orders table.
a sparse report.
With our customer orders data as sparse as it is, a monthly report for purchases by customer would look as follows.
adding the missing months.
We can see from the data that we are missing most months of the year for our two customers. Remember that our requirement is to show a report for every month in 2004 for every customer. First we will build a "time dimension" set (using subquery factoring) and outer join it to our orders table.
We can see that this hasnt quite worked. We have the zero sums and the year-months, but we are missing customer names. This is because we outer joined to CUSTOMER_ORDERS on the year-months, so any customer columns would show as NULL for deficient rows. Until PARTITION OUTER JOIN appeared in Oracle 10g, we couldnt "invent" data easily , though the next section shows that it is possible in prior versions.
data-densification without partition outer join.