Build analytics database based on raw tracking data in MySQL

I have a MySQL tracking database with around 100,000-500,0000 items being added each day, with relationships across 5-10 tables.

Your job is to build the backend database/interface to VIEW simple analytics on this data almost instantly and update it consistently.

Analytics like, number of times an item was seen in 24 hours, total number of items of a given type etc.

Think you could build this sort of database? If you think you'd be GREAT at the database part please reachout.

I will give you more details when you tell me more about your experiences with databases and what you think will make you good for the job.

What makes you better than anyone else? are you available for long term part-time work for up-keep?

If you feel you're really high quality I am more than happy to pay you fairly for you time. Only working with people who have a passion for doing this. It should be your goal to make this function as fast as possible.

Copy/Paste responses will be ignored (seriously, take the time to let me get to know you... it might pay off).

Skills: Amazon Web Services, Big Data, Database Administration, MySQL, PHP

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About the Employer:
( 39 reviews ) NY, United Kingdom

Project ID: #5413720

48 freelancers are bidding on average $1475 for this job


Warm Greetings We have mentioned a place holder bid to initiate a discussion . Do let us know your availability on chat for us to discuss the project in more detail. We will be quoting the final price once we are c More

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Hi, The scope of the project is just showing the analytics data or update it? You have wrote this in your specs --------------------------------- I have a MySQL tracking database with around 100,000-500,0000 it More

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I am willing to discuss further details about the project specifications and deliver the same to your needs

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Hello , ___Thanks for your post.___My Understanding : You have a MySQL tracking database with around 100,000-500,0000 items being added each day, with relationships across 5-10 tables. and you want us to build a back-e More

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