In this blog post, we will learn how to configure Hadoop cluster for maximizing production deployments and minimizing long term adjustments.
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| How To Configure Hadoop Cluster For Successful Hadoop Deployments? |
Before you start working on Hadoop, it is necessary to decide on hardware that can help you most for successful Hadoop architect implementation. You should also be sure on cluster planning, CPU usage and memory allocation. Here, we will discuss on how clusters can be configured for Hadoop architect for better business solutions after reading this blog, you will have a strong idea on successful product deployment and cluster configuration.
It is necessary to discuss on some important attributes like network, hosts or disks and necessary to check either they are configured correctly or not. Also it is necessary to check how services and disks are laid down to utilize them in best possible way and minimizing problems related to new data sets.
Network for Hadoop architect
A Hadoop process finds out the hostname and server on which it is running and correct IP address too. It can be done through DNS server and can be configured properly through look up method. If a node is working correctly then it will work in dual mode – look up method and reverse look up method. All cluster hosts should be able to communicate in best way with each other. If you are using Linux operating system then it is easy to check network configuration details with host command.
You must be thinking why to use DNS every time. DNS is easy to implement and less prone to errors. Domain name should be fully qualified due to security reasons. You can verify domain name with fqdn command.
Cloudera Manager for cluster management
If you find cluster management tough then you are strongly recommend using Cloudera manager for refined result. It works as a pioneer for managing complex data nodes. In case, you are familiar with usage of Cloudera Manager then study its documentation that makes its benefits pretty clear. Cloudera manager is available in different version according to your business needs and requirements. It can be used as a wizard on your finger tips and installation is also easy and quick.
If any cluster having 50 + nodes, it can be handled pretty well with Cloudera Manager. Integration of any external database like Hbase and Hive is very common along with Cloudera manager. Additional services for trail blazing data management can be deployed on demand. If you move to little deeper into concept then various services components are mapped together internally then you don’t know about.
Conclusion
The above discussion concludes that cluster management is easy when done with proper tools and sufficient knowledge. As a developer you should spend extra time in understanding Hadoop architect and configuring clusters. By following proper guidelines and instructions, cluster management can be made in your favor that results into successful deployments by Hadoop architect & developers. Now don’t get fuss so much into cluster configuration and spend more time on other business activities like a boss.
Get engaged with us with our future posts to know more on clusters and Hadoop architect.
It is necessary to discuss on some important attributes like network, hosts or disks and necessary to check either they are configured correctly or not. Also it is necessary to check how services and disks are laid down to utilize them in best possible way and minimizing problems related to new data sets.
Network for Hadoop architect
A Hadoop process finds out the hostname and server on which it is running and correct IP address too. It can be done through DNS server and can be configured properly through look up method. If a node is working correctly then it will work in dual mode – look up method and reverse look up method. All cluster hosts should be able to communicate in best way with each other. If you are using Linux operating system then it is easy to check network configuration details with host command.
You must be thinking why to use DNS every time. DNS is easy to implement and less prone to errors. Domain name should be fully qualified due to security reasons. You can verify domain name with fqdn command.
Cloudera Manager for cluster management
If you find cluster management tough then you are strongly recommend using Cloudera manager for refined result. It works as a pioneer for managing complex data nodes. In case, you are familiar with usage of Cloudera Manager then study its documentation that makes its benefits pretty clear. Cloudera manager is available in different version according to your business needs and requirements. It can be used as a wizard on your finger tips and installation is also easy and quick.
If any cluster having 50 + nodes, it can be handled pretty well with Cloudera Manager. Integration of any external database like Hbase and Hive is very common along with Cloudera manager. Additional services for trail blazing data management can be deployed on demand. If you move to little deeper into concept then various services components are mapped together internally then you don’t know about.
Conclusion
The above discussion concludes that cluster management is easy when done with proper tools and sufficient knowledge. As a developer you should spend extra time in understanding Hadoop architect and configuring clusters. By following proper guidelines and instructions, cluster management can be made in your favor that results into successful deployments by Hadoop architect & developers. Now don’t get fuss so much into cluster configuration and spend more time on other business activities like a boss.
Get engaged with us with our future posts to know more on clusters and Hadoop architect.
Read More Related This :
- Learn Apache Hive installation on Ubuntu Linux (14.04 LTS)
Apache Hive is data warehouse software designed on Hadoop. The software facilitates many functions like data analysis, large database management, and data summarization. You must install and take a Hive tour on your Ubuntu Linux.
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