Ambari Architecture

Kevin Feasel

2018-08-22

Hadoop

The folks at Data Flair have a tutorial on how Ambari is architected:

Ambari Architecture is of master/slave type architecture. So, to perform certain actions and report back the state of every action, the master node instructs the slave nodes. Although, for keeping track of the state of the infrastructure, the master node is responsible. But for this process, a database server is used by the master node, that can be further configured during setup time.

Now, we can see the high-level architecture of Ambari by below diagram which also shows how Ambari works:

Ambari is one of the easiest ways I’ve seen to spin up and manage a Hadoop cluster.

Related Posts

Working with Columns in Spark

Achilleus has a two-parter on working with columns in Spark. Part 1 covers some of the basic syntax and several functions: Also, we can have typed columns which is basically a column with an expression encoder specified for the expected input and return type. scala> val name = $"name".as[String]name: org.apache.spark.sql.TypedColumn[Any,String] = namescala> val name = […]

Read More

Creating Threadpools with ExecutorService in Kafka

Prasanth Nair shows how we can use Java’s ExecutorService to create threadpools for Kafka consumers: Apache Kafka is one of today’s most commonly used event streaming platforms. While using the Kafka platform, quite often, we run into a scenario where we have to process a large number of events/messages that are placed on a broker. […]

Read More

Categories

August 2018
MTWTFSS
« Jul Sep »
 12345
6789101112
13141516171819
20212223242526
2728293031