Hire a Map Reduce Developer
Tell us what you need done and get free quotes from skilled freelancers within minutes, view profiles, ratings and portfolios and chat with them.
Get Free Quotes
- AS USED BY
Showcased Work from our Freelancers
Get More Done with Freelancers
-
You don't need to do it all yourself
Spend more time on what you do best & start getting more done.
-
Hire at a fraction of the cost
Find yourself an army of designers, developers, marketers, and writers.
-
Don't regret a bad hire
Read reviews from real people and know you're getting the best.
As Featured in
The World's Largest Marketplace
Millions of users, from small businesses to large enterprises, entrepreneurs to startups, use Freelancer to turn their ideas into reality.
REGISTERED USERS
TOTAL JOBS POSTED
FEATURED FREELANCER
Excellent work, super fast, super quality and understood the brief perfectly!
If you're looking for a talented web developer you'll find people like Charchit to help you accomplish your needs.
Hiring a Map Reduce Developer on Freelancer
MapReduce is a programming process that processes and generates large data sets that include a distributed algorithm on a cluster. A program that uses MapReduce will have a filtering and sorting integration as well as a reduce method that will summarise the information.
The system of MapReduce arranges the marshalling of distributed servers and runs various tasks that are concurrent whilst data transfers and communication continue to take place.
MapReduce has been written into a range of programming languages and the process is particularly popular in open source implementations.
Steps that take place in the MapReduce process are outlined below:
- Map step - each worker node applies the map function to data and writes the output to temporary storage.
- Shuffle step - data belonging to one key is sent to the same worker node.
- Reduce step - each group of data is processed in a parallel format.
The data is usually running in sequence in the MapReduce process and data can be shared among different servers throughout the process.
The main benefit of the MapReduce process is to exploit the optimized shuffle operation of the platform and reduce the data written to the disk. MapReduce is a fairly technical programming process and is managed by experienced developers with a deep understanding of technology.
Businesses or individuals may use the MapReduce process for a range of reasons including:
- Distributed pattern-based searching
- Distributed sorting
- Web link-graph reversal
- Web access log stats
- Inverted index construction
- Document clustering
- Machine learning
- Desktop grids
- Volunteer computing environments
- Mobile environments
If you are a business or individual who is looking for a MapReduce expert for your project, log onto freelancer.com and explore the extensive arrange of web developers and programmers with the experience you need for your next project.
Freelancer.com provides a global talent bank of individuals who are ready and experience in programming langauges who can assist with your project.
Log onto Freelancer.com today and find the perfect freelancer for your next project.
Â
How it Works
-
1. Post job
Tell us what you need done in seconds.
-
2. Choose freelancers
Get your first bid in seconds and choose from the best.
-
3. Track progress
Chat with your freelancer and review their work 24/7.
-
4. Pay safely
Only pay when you're completely satisfied.
Find Map Reduce Developers Now
It's quick, easy, and we only need a few details to get started
Get Free Quotes