Kibana – Working With Graphs
In this chapter, we will discuss the two types of graphs used in visualization − Line GraphArea Line Graph To start with, let us create a visualization, choosing a line…
Kibana – Working With Charts
Let us explore and understand the most commonly used charts in visualization. Horizontal Bar ChartVertical Bar ChartPie Chart The following are the steps to be followed to create the above…
Kibana – Create Visualization
We can visualize the data we have in the form of bar charts, line graphs, pie charts, etc. In this chapter, we will understand how to create the visualization. Create…
MapReduce – Hadoop Administration
This chapter explains Hadoop administration which includes both HDFS and MapReduce administration. HDFS administration includes monitoring the HDFS file structure, locations, and the updated files.MapReduce administration includes monitoring the list…
MapReduce – Combiners
A Combiner, also known as a semi-reducer, is an optional class that operates by accepting the inputs from the Map class and thereafter passing the output key-value pairs to the Reducer class.…
MapReduce – Partitioner
A partitioner works like a condition in processing an input dataset. The partitioning phase takes place after the Map phase and before the Reduce phase. The number of partitioners is…
MapReduce – Hadoop Implementation
MapReduce is a framework that is used for writing applications to process huge volumes of data on large clusters of commodity hardware in a reliable manner. This chapter takes you…
MapReduce – API
In this chapter, we will take a close look at the classes and their methods that are involved in the operations of MapReduce programming. We will primarily keep our focus…
MapReduce – Installation
MapReduce works only on Linux flavored operating systems and it comes inbuilt with a Hadoop Framework. We need to perform the following steps in order to install the Hadoop framework.…
MapReduce – Algorithm
The MapReduce algorithm contains two important tasks, namely Map and Reduce. The map task is done by means of Mapper ClassThe reduce task is done by means of Reducer Class.…
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