Hai Saya adalah Ava, AI pemandu Anda untuk meningkatkan bisnis Anda!
Baik Anda telah menjalankan bisnis atau sedang memimpikan untuk memulai, saya di sini untuk membantu mewujudkan impian Anda menjadi kenyataan menggunakan freelancer yang didukung AI. Beritahukan target bisnis Anda, dan bersama kita akan membuat proyek yang bisa ditawar oleh para freelancer berbakat. Mari kita wujudkan impian Anda!
Saya memiliki bisnis
Saya sedang memulai sebuah bisnis
Ada sesuatu yang salah saat mengirim percakapan ke email Anda. Silakan coba lagi nanti.
Anda hanya bisa menyimpan percakapan Anda sekali setiap jam. Silakan coba lagi nanti.
Percakapan Anda terlalu pendek. Teruslah mengobrol dengan Ava agar bisa disimpan.
Bagaimana merekrut freelancer Map Reduce Developer yang bagus
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.
Jutaan pengguna, dari usaha kecil sampai perusahaan besar, pengusaha sampai startup, menggunakan Freelancer untuk mewujudkan ide mereka menjadi kenyataan.
78.2J
78.2J
Pengguna Terdaftar
24.4J
24.4J
Total Pekerjaan Dipasang
Mencari freelancer untuk jenis pekerjaan yang lain?