I am providing you some options of maang teeka
Click here to buy maang teeka online-
I am extremely sorry for the bad makeup in this video. It is all because I am having lots acne on my face so applies lots of make up. Please ignore that.
#myntrajewellery #myntrashopping #myntrahaul #myntra #myntrareview #onlinelewellery
Camera Used- Canon 80d
Amazon Link- http://amzn.to/2GG1QB2
Zaveri Pearls Gold-Plated Beaded Maang Tikka
Zaveri Pearls Oxidised Silver-Toned Dome Shaped Jhumkas
Zaveri Pearls Set of 4 Oxidised Silver-Plated Dome-Shaped Jhumkas
Zaveri Pearls Set of 2 Gold-Plated Stone-Studded Enamelled Earrings
Zaveri Pearls Blue Gold-Plated Padmavati Inspired Stone-Studded Drop Earrings
Zaveri Pearls Gold-Plated Stone-Studded Crescent Shaped Chandbalis
Zaveri Pearls Gold-Toned Jewellery Set
DHRUVI Silver-Toned Dome Shaped Jhumkas
Crunchy Fashion Multicoloured Enamelled Geometric Drop Earrings
Moedbuille Silver-Toned Leaf Shaped Drop Earrings
i bought it from myntra...but if you are interested in buying in bulf then plz watch my recent video on jewellery....it's instagram store...i did review of his jewelery ...his details are given in the description box....
i had planned to buy jewelry from Myntra and thanks to ur review I will think twice as i see the quality to be so poor almost equal to roadside jewelry...thanks to u....pls do more reviews....were an alerter really....
Awesome choice 👌👍 n what happened to Ur makeup 🤔 its not Lukin uptomark...even when u r focusing Ur camera after
wearing earings , breakouts r clearly visible...I'm not judging u it's just that I have noticed...that's it ...I luv Ur work so just thought to say u.... don't take it in negative sense ...keep up d gud work👌👍
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.