Engineering your spark application for testing
Advice on how to design and build your Apache Spark application for testability
Map Reduce Jobs
Map Reduce is a programming model created to process big data sets. It's oftentimes utilized in the act of distributed computing for different devices. Map Reduce jobs involve the splitting of the input data-set into different chunks. These independent sectors are then processed in a parallel manner by map tasks. The framework will then sort the map outputs, and the results will be included in "reduce tasks." Usually, the input and output of Map Reduce Jobs are kept in a file-system. The framework is then left in charge of scheduling, monitoring, and re-executing tasks.
Map Reduce can be used in jobs such as pattern-based searching, web access log stats, document clustering, web link-graph reversal, inverted index construction, term-vector per host, statistical machine translation and machine learning. Text indexing, search, and tokenization can also be accomplished with the Map Reduce program.
Map Reduce can also be used in different environments such as desktop grids, dynamic cloud environments, volunteer computing environments and mobile environments. Those who want to apply for Map Reduce jobs can educate themselves with the many tutorials available in the internet. Focus should be put on studying the input reader, map function, partition function, comparison function, reduce function and output writer components of the program. Embaucher des Map Reduce Developers
Map Reduce can be used in jobs such as pattern-based searching, web access log stats, document clustering, web link-graph reversal, inverted index construction, term-vector per host, statistical machine translation and machine learning. Text indexing, search, and tokenization can also be accomplished with the Map Reduce program.
Map Reduce can also be used in different environments such as desktop grids, dynamic cloud environments, volunteer computing environments and mobile environments. Those who want to apply for Map Reduce jobs can educate themselves with the many tutorials available in the internet. Focus should be put on studying the input reader, map function, partition function, comparison function, reduce function and output writer components of the program. Embaucher des Map Reduce Developers
Spark streaming ,scala,hadoop cloudera,azure,hive,kafka,pyspark Timings:- 6:30 PM to 2:30 AM For Individual indians only
€682
(Avg Bid)
GIS Map traffic volume using open API
6 jours left
The links below are to datasets that include traffic density/volume from a regional planning commission. ([se connecter pour voir l'URL]) We would like to generate a map that shows the "busiest" (in terms of traffic volume) areas in the region. Since we aren't certain what the data looks like we'll need to do some back-and-forth to fine tune the exact format of the map....
€168
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Requirement: Spark streaming, scala, hadoop cloudera, azure, hive, kafka, pyspark Location: Remote Timings: 6:30 PM to 2:30 PM (Full time) Experience : 3-4 years Pay scale : 35-40k
€423 - €845
I'm looking for a full time developer who is familiar with these:- Spark streaming ,scala,hadoop cloudera,azure,hive,kafka,pyspark Timings: 6:30 PM to 2:30 AM IST For Individual Indians only
€587
(Avg Bid)
Looking for the interviwer who have good knowledge on Java and Spark to take interviews for our requirement
5 jours left
Ability to extract the skills of our requirement and explore the candidate performance to our requirement. Need to take Interviews for the below JD. Java Developer Job Description: The candidate must possess a strong technology background with advanced knowledge of Java and Java based technology stack 2 - 4 years of Strong Experience building Java applications, Java8 or Higher Knowledge of D...
€6 / hr
(Avg Bid)
Need help with Hadoop, Spark and Flink
3 jours left
I have set a small cluster of 3 nodes (1 master 4gb RAM and 2 slaves 2gb RAM each). My map reduce jobs do not complete so I need help setting it up properly.
€42
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