Find Jobs
Hire Freelancers

Distributed and scalable Big Data Project (Apache Spark ,Apache Nifi, Cassandra, Elasticsearch)

€30-250 EUR

Closed
Posted almost 3 years ago

€30-250 EUR

Paid on delivery
We look for two big data developers to work on developing: - distributed Cassandra (huge data entry) , process data with spark(enhance parallel computing), a search engine( Elasticsearch) - simple graphic user interface.
Project ID: 30644623

About the project

2 proposals
Remote project
Active 3 yrs ago

Looking to make some money?

Benefits of bidding on Freelancer

Set your budget and timeframe
Get paid for your work
Outline your proposal
It's free to sign up and bid on jobs
2 freelancers are bidding on average €1,070 EUR for this job
User Avatar
Hello, we all work for a living, the rate you have put is too low for the requirement, It should be atleast 2000 USD for simplest setup. I am having 20+ years experience, working as a consultant in Bigdata/IoT, I am certified in Cassandra , and have a master of computer applications post graduate degree How big is your file and how big is your server(RAM/storage/CPU) how many node you are planning? Feel free to contact me so that we can have a discussion Best regards Constantine Stanley
€2,000 EUR in 10 days
0.0 (0 reviews)
0.0
0.0
User Avatar
Hi, I have 2yrs Experience in Elasticsearch handle 1 petabytes of data provides 24/7 service. Inserting huge amount of data with Logstash pipeline into Elasticsearch and analysed the data from Kibana.
€140 EUR in 7 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of FRANCE
SAINT DENIS, France
5.0
3
Payment method verified
Member since Sep 18, 2016

Client Verification

Thanks! We’ve emailed you a link to claim your free credit.
Something went wrong while sending your email. Please try again.
Registered Users Total Jobs Posted
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
Loading preview
Permission granted for Geolocation.
Your login session has expired and you have been logged out. Please log in again.