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
simple program using apache common csv and hadoop you must have relevant experience with AWS Map reducing
€10
(Avg Bid)
simple program using apache common csv and hadoop you must have relevant experience with AWS Map reducing
€6 - €6
simple program using apache common csv and hadoop you must have relevant experience with AWS Map reducing
€8 / hr
(Avg Bid)
simple program using apache common csv and hadoop you must have relevant experience with AWS Map reducing
€10
(Avg Bid)
Required part time developer for Bigdata/hadoop who can build data pipeline or ETL using kafka, flame, sqoop.
5 jours left
Required single dedicated part time developer on below skills At least 3 years of experience working in Hadoop Ecosystem and big data technologies Build data pipelines and ETL using heterogeneous sources to Hadoop using Kafka, Flume, Sqoop, Spark Streaming etc. Experience in batch (Spark. Scala) or real time data streaming (Kafka) Ability to dynamically adapt to conventional big-data framework...
€348
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Needed a single dedicated developer/dba foe US clinet, who can have min 2+ years working knowledge on below skill, Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala. • Experience with Spark, Hadoop, MapReduce, HDFS. • Knowl...
€282
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Hadoop Map Reduce
3 jours left
Write code for testing clusters (Map Reduce)by using Java in Hadoop environment
€139
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Hadoop interview support
12 heures left
Hi Everyone, This is Ritika, I need experienced interview supporters for Hadoop technology. [Removed by Freelancer.com Admin - please see Section 13 of our Terms and Conditions] Feel free to reach me anytime. Thank you.
€5 / hr
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