Forum Posts

Raihan Ali
Apr 10, 2022
In Medical Forum
Big data. Thread: yarn is an abbreviation for yet email list another resource negotiator. Also known as mapreduce 2 (mrv2). The two main functions of mrv1's jobtracker, resource management and job scheduling / monitoring, are split into separate daemons: resourcemanager, nodemanager, and applicationmaster. Feature: • better resource management. • scalability • dynamic allocation of cluster resources. Data access: pig: apache pig is a high-level language built on mapreduce that uses a simple ad hoc data analysis program to analyze large datasets. Pig is also known as a dataflow language. Very well integrated with python. Initially developed by yahoo. Outstanding characteristics of pigs:• ease of programming • optimization opportunities•scalability. Pig scripts are internally converted to mapreduce programs. Apache pig hive: apache hive is another high-level query language email list and data warehousing infrastructure built on hadoop to provide data summarization, querying, and analysis. Originally developed by yahoo, it has become open source. Notable features of the hive:• a sql-like query language called hql. • partitioning and bucketing for faster data processing. • integration with visualization tools such as tableau. Internally, hive queries are translated into mapreduc email list programs. If you want to be a big data analyst, these two high-level languages ​​are a must-see !! Apache hive data storage: hbase: apache hbase is a nosql database built to host large tables with billions of rows and millions of columns on a hadoop commodity hardware machine. If you need random real-time read / write access to big data, use apache hbase. Feature: • strictly consistent reads and writes. Operation in memory. • easy-to-use java api for client access. • well integrated with pigs, hives and scoops. • a consistent partition-tolerant system in the cap theorem. Apache hbase cassandra:
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Raihan Ali

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