Tag - multi node cluster

Knowing and valuing Apache Kafka’s ISR (In-Sync Replicas)

To get more clarity about ISR in Apache Kafka, We should first carefully examine the replication process in the Kafka broker. In short, replication means having multiple copies of our data spread across multiple brokers. Maintaining the same copies of data in different brokers makes possible the high availability in case one or more brokers go down or are untraceable in a multi-node Kafka cluster to server the requests. Because of this reason, it is mandatory to mention how...

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Transfer structured data from Oracle to Hadoop storage system

Using Apache's sqoop, we can transfer structured data from Relational Database Management System to Hadoop distributed file system (HDFS). Because of distributed storage mechanism in Hadoop Distributed File System (HDFS), we can store any format of data in huge volume in terms of capacity. In RDBMS, data persists in the row and column format (Known as Structured Data). In order to process the huge volume of enterprise data, we can leverage HDFS as a basic data lake. In this...

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Data Ingestion phase for migrating enterprise data into Hadoop Data Lake

The Big Data solutions helps to achieve valuable information to iron out the accurate strategic business decision. Exponential growth of digitalization, social media, telecommunication etc. are fueling enormous data generation everywhere. Prior to process of huge volume of data, we should have efficient data storage mechanism in a distributed manner to hold any form of data starting from structured to unstructured. Hadoop distributed file systems (HDFS) can be leveraged efficiently as data lake by installing on multi node cluster....

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