Map Reduce Jobs and ContestsMap 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.
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|hadoop admin prxoy - open to bidding||job descripition: Role Overview The Hadoop-Big Data Tools Admin will be responsible for driving the Installations, configuration and administration of Hadoop components, Big Data Tools and other tools/technologies like ETL tool. Responsibilities Responsible for implementation and ongoing administration of Hadoop infrastructure. Align with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments. Work with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Spark, Kafka, Solr, Impala, Greenplum access for the new users. Cluster maintenance as well as creation and removal of nodes using tools like Cloudera Manager Enterprise and other tools. Performance tuning of Hadoop clusters and tools configurations. Screen Hadoop cluster job performances and capacity planning Monitor Hadoop cluster connectivity and security Manage and review Hadoop log files. File system management and monitoring. HDFS support and maintenance. Collaborate with application teams to install operating system and Hadoop updates, patches, version upgrades when required. A Hadoop administrator will have to work closely with the database team, network team, BI team and application teams to make sure that all the big data applications are highly available and performing as expected Point of contact for vendor escalation Qualifications Strong knowledge of distributed systems and asynchronous architectures Working (development/Administration) experience with Hadoop, Cloudera, HIVE, Enterprise Java development, Scala, Python, NoSQL data platforms (Cassandra), Pub/sub messaging (Rendezvous, AMPS, Kafka, etc.), Stream processing (Storm, Spark Streaming, etc.). Working knowledge of implementing big data security tools for Hadoop and NFS stack using Cloudera Sentry, Record Service, Hortonworks-Centrify, RSA, Vormetric. Knowledge of different types of Storage like Object Store, scale out NAS, SAN, solid state RAID and their use cases. Working knowledge of networking protocols and firewalls. Server OS Platforms: RedHat Linux 6.x, Ubuntu||7||Internet Marketing, Marketing, Map Reduce, Hive, Spark||May 28, 2017||Today6d 6h||$733|
|Hadoop Proxy Female for interview||Hi, I am looking for a female who is expert in Hadoop, MapReduce, Oozie, Sqoop, Cassandra, JAVA, J2EE, with good experience in Design patterns, ETL, Data Structures and [url removed, login to view] good communication skills and available to take phone interview for a contracting position in US EST time zone during working hours. I will send the job description well in advance. There might be multiple phone interview rounds, and the funds will only be transferred only if the interview is success and the candidate is selected. Thanks.||7||Java, Hadoop, Map Reduce, Hive, Spark||May 26, 2017||May 26, 20174d 22h||$601|
|Implemenation of Datamining algorithm : Apriori frequent itemset mining in Hadoop Mapreduce Framework||Implemenation of Datamining algorithm : Apriori frequent itemset mining in Hadoop Mapreduce Framework||4||Java, Software Architecture, Map Reduce||May 26, 2017||May 26, 20174d 6h||$135|
|Map Reduce program for Partition Algorithm(in Hadoop) using python||I have attached the Research paper on which the program should be done.||9||Python, Hadoop, Map Reduce||May 26, 2017||May 26, 20174d 3h||$37|
|I want to hire instructor for big data||Intructor needed for remotely taking sessions on Big Data technology for next 3 to 6 months.||9||Big Data, Map Reduce, Hive, Spark||May 24, 2017||May 24, 20172d 16h||$147|
|hadoop jobs||I need to work on big data hadoop ecosystem components like Pig, hive, hbase, zookeeper etc. Basically I'm a database guy and recently completed a certification on hadoop.||1||UNIX, Hadoop, Map Reduce, HBase, Cassandra||May 24, 2017||May 24, 20172d 4h||$430|
|MAP REAL TIME||I need a similar system ([url removed, login to view]) A map in which it makes markings in real time.||31||PHP, Cartography & Maps, HTML5, Map Reduce, Google Maps API||May 22, 2017||May 22, 20179h 57m||$961|
|Hadoop, Big data, Hive , Flume, Sqoop, Hadoop setup||Examples||28||Big Data, Hadoop, Map Reduce, Hive, HBase||May 22, 2017||May 22, 20175h 7m||$134|
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