big data, working with 50million records
$250-750 USD
Betalades vid leverans
Hello
I need a big data expert in working with records exceeding 50million (using postgres)
He should be a query expert and know how to best optimize the server to be able to work with the data in the fastest ways possible so queries don't take more than a day to process
Projekt-id: #20959327
About the project
16 frilansare har lagt bud på i genomsnitt $487 för det här jobbet
Hello, I have gone through your job posting and become very much interested to work with you. I am an expert in this field. I have already completed several projects like this. For evidence you can see my profile. Mer
Hi, My name is Ali and I can work with immediate availability. Let me know when we can discuss so I can start working.
hi I am expertise in sql queries and also handling huge datasets. i hope i can also deal with ur postgre sql . ping me if you are interested
Hi, Having read your complete requirements, I would like to assure you that I will produce the most notable results for you, having had a myriad of previous experience with similar projects. I would like to discuss the Mer
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hello sir, I love to complete my work within time gram. I can full fill any task of data entry in excel sheet. seeking for good opportunity to complete my daughter education.
Greetings, I'm very interested in your project and I'll to work with pleasure! I will do your work with complete honesty and will deliver it on time because I am an efficient and hardworking professional data entry cl Mer
Hi Dear Project Manager, i hope you are doing well.I just saw your request and interested to work with you. I will do data entry and i will make sure you will glad to see my work.I am having experience of more than 7 y Mer
50 million records for PostgreSQL is a very small database, it can easily work with 50 billion records. But if you have not created the indexes you need to search or if your SQL statements are not correctly composed, t Mer
I have experience in big DB. 50 millon is not big for PostgreSQL. You need good configuration + good query's.