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Getting the Most Out of Apache Hadoop

Rio by Rio
10 months ago
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Getting the Most Out of Apache Hadoop

While most Hadoop systems use distributed file systems, some require specific operating systems such as HDFS. The primary concern is security, especially if data is stored on remote servers. To mitigate security risks, Hadoop clusters can be configured to use Kerberos authentication. This security feature can be enabled after deployment. The Hadoop cluster management tool, Cloudera Standard, makes the process simple. Once the cluster is secured, HDFS clients must have valid Kerberos tokens in order to access the cluster.

Unlike previous technologies, Apache Hadoop addresses four common growing pains. Specifically, it addresses end-to-end data supply chain security, reduced cost of answers, and scalable utility across a larger organization. However, companies should not assume they can deploy Hadoop on their own. Proper training and skillsets are necessary to get the most out of Hadoop. Nevertheless, commercial providers of open-source tools offer great value to companies.

Hadoop was first developed as an open-source project in 2006 by Doug Cutting and Mike Cafarella. The goal was to create a search engine system that could index billions of web pages, but that would cost half a million dollars in hardware and $30k monthly. Consequently, these two programmers created the Hadoop framework. The resulting software allows businesses to index billions of web pages and search them by keyword. These applications are widely used in a wide range of industries, from financial services to healthcare.

The Hadoop command also creates a directory in HDFS, which holds the results of the word count job. The directory is named part-r-00000, and the files in it contain the name of each state, its abbreviation, and a number. The states are listed once, which means that each state is only listed once. Afterward, the job will be complete. Once the job is complete, the Hadoop cluster can be accessed using the laptop’s IP address.

Although Hadoop was created by Google and other companies, it was not widely used by Yahoo until 2006. In 2006, the first production use of Hadoop was at Yahoo. Yahoo soon began to expand its use. The company’s usage continued to increase and three independent Hadoop vendors were formed. In 2008, Cloudera and MapR spun off from Yahoo. Hadoop has since become an essential tool for companies in many industries. There are now thousands of users running the software.

Cloudera is a leader in delivering enterprise-level support for Apache Hadoop. Its latest release includes hot failover of the NameNode, the single point of failure in Hadoop. Cloudera’s Enterprise subscription includes high availability, improved security, and long-term support. The Enterprise version offers additional benefits such as continuous monitoring and automatic hot failover of NameNode. This way, the cluster is never out of sync.

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