Hadoop is one of the most powerful analytics platforms in the world, but it’s also the most mysterious one. Many people still don’t know completely what Hadoop is all about. It is highly hyped and rumours about its complexity are widespread all over the world. This can be justified by the fact that it is … Continue reading How do you Measure the ROI in Hadoop Adoption?
This article explains the setup of the Hadoop Multi-Node cluster on a distributed environment. As the whole cluster cannot be demonstrated, we are explaining the Hadoop cluster environment using three systems (one master and two slaves); given below are their IP addresses. Hadoop Master: 192.168.1.15 (hadoop-master) Hadoop Slave: 192.168.1.16 (hadoop-slave-1) Hadoop Slave: 192.168.1.17 (hadoop-slave-2) Follow … Continue reading Hadoop – Multi Node Cluster
Introduction HDFS is an Apache Software Foundation project and a subproject of the Apache Hadoop project. Hadoop is ideal for storing large amounts of data, like terabytes and petabytes, and uses HDFS as its storage system. HDFS lets you connect nodes (commodity personal computers) contained within clusters over which data files are distributed. You can … Continue reading An introduction to the Hadoop Distributed File System
Hadoop is supported by Linux platform and its facilities. So install a Linux OS for setting up Hadoop environment. If you own an operating system than Linux then you can install virtual machine and have Linux inside the virtual machine. Prerequisites Hadoop is written in Java programming, so there exists the necessity of Java installed … Continue reading Hadoop Installation
Apache Hadoop was born to enhance the usage and solve major issues of big data. The web media was generating loads of information on a daily basis, and it was becoming very difficult to manage the data of around one billion pages of content. In order of revolutionary, Google invented a new methodology of processing … Continue reading Introduction to Hadoop
The data lake may be all about Apache Hadoop, but integrating operational data can be a challenge. A Hadoop software platform provides a proven cost-effective, highly scalable and reliable means of storing vast data sets on commodity hardware. By its nature, it does not deal well with changing data, having no concept of "update," nor … Continue reading Providing transactional data to your Hadoop and Kafka data lake
Why did IBM decide to create its own Hadoop and Spark distribution, and why does it need a reference architecture? The ability to collect, manage and analyze big data is one of the key tenets of the IBM cognitive business strategy, as well as being central to the Internet of Things. We see a lot … Continue reading Taking the hard work out of Apache Hadoop