The ability to extract, transform and process real-time data is critical today. In the beginning, there wasn’t any support for real-time data processing. But, with the demand and constant technological progress, there are quite a few technologies now that support real-time data processing. Apache Storm is one of them. Apache Storm is a system for… Continue reading What is Apache Storm?
Fair Scheduler is a pluggable scheduler for Hadoop that allows YARN applications to share resources in large clusters fairly. As the name suggests, it allocates resources such that all applications get an equal share. By default, this is done on the basis of the memory. But, i t can be configured to schedule with both memory… Continue reading What is a Fair Scheduler in Hadoop?
Capacity Scheduler is a pluggable scheduler for Hadoop which allows for multiple-tenants to securely share a large cluster such that their applications are allocated resources in a timely manner under constraints of allocated capacities. Before the onset of Big Data and Hadoop, every organization had their own set of resources that had sufficient capacity to meet the… Continue reading What is a Capacity Scheduler in Hadoop?
The Apache Tez project is an extensible framework built on top of Apache Hadoop YARN. It is used to process data, that earlier took multiple MR jobs, now in a single Tez job which uses Directed Acyclic Graph (DAG) for data processing. It is used for building high performance batch and interactive data processing applications.… Continue reading Term of the Week : Apache Tez
The Apache Tez project is an extensible framework built on top of Apache Hadoop YARN. It is used to process data, that earlier took multiple MR jobs, now in a single Tez job which uses Directed Acyclic Graph (DAG) for data processing. It is used for building high performance batch and interactive data processing applications. It drastically improves… Continue reading What is Apache Tez?
The term Apache Pig refers to an open source scripting platform by Apache used for analyzing and processing large data sets. It allows users to write complex map reduce problems using a simple scripting language called Pig Latin. Pig translates the Pig Latin script into MapReduce so that it can be executed within YARN for access to a… Continue reading Term of the Week : Apache Pig
Which one of them is your favorite – Hive or Pig? What do you prefer to work with? People often confuse as to when to use Hive and when to use Pig. And, while in most of the cases, either of it can be used, the question that arises is why both of them exist in… Continue reading Hive or Pig?
Apache Hive is a data warehouse infrastructure built on top of Hadoop which allows querying and managing large datasets residing in distributed storage. It provides an SQL-like language called as HiveQL with schema on read and transparently converts queries to map reduce, tez or spark jobs. All these execution engines run on Hadoop YARN. The HiveQL language also… Continue reading What is Apache Hive?
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