Search, Explore, and Analyze Data Using Data Explorer

Use the attributes in Data Explorer to filter real-time and historic data by targets and other attributes so that you can view information specific to the issue that you’re troubleshooting.

Data Explorer lets you:

  • Search and explore data by targets. For example, you can view the attributes specific to a target that’s experiencing frequent unplanned downtime.

  • Search and explore data for all targets by specific attributes. For example, you can view the resource utilization for all your databases, to identify which databases require more resources.

Through Data Explorer, you can search for data, select your visualization options, and analyze your data.

For example, you can use Data Explorer to:

  • View the trend of CPU and memory usage for your database targets (such as Oracle Database, MySQL), for the past 13 months, and forecast the values for the next three months, to detect seasonal trends.

  • Identify all targets with a CPU usage of more than 50% that are running on a specific software version.

  • View the 25 cost centers with the highest CPU utilization.

Data Explorer Visualization Options

Data Explorer lets you visualize data in the following ways:

Visualization Option Description

Analytics Line

View the data as a line, with points marked out for analysis. Specific attributes are measured along the x and y axes, and a third attribute determines the color of the line.

Use this option for Trending and Forecasting

Area

View the data as a filled-in area. Specific attributes are measured along the x and y axes. Data can be grouped according to a third attribute.

Use this option for identifying the top or bottom X targets by attribute.

Bar

View the data as a bar diagram. Specific attributes are measured along the x and y axes, and a third attribute determines the color of the bars.

Use this option for identifying the top or bottom X targets by attribute.

Cluster

View data as a cluster diagram, where information is clustered by a specific attribute.

Use this option for identifying anomalies.

Correlation

View specific attributes as correlated data, with a specific attribute measured along the y axis. Time is measured along the x axis, based on the total time period selected using the time selector.

Use this option for identifying the correlation between the behaviors of different attributes.

Data Grid

View data in the form of a grid. You can specify which columns are to be displayed.

Donut

Use this method to view the breakdown of an attribute.

Use this option for identifying the top or bottom X targets by attribute.

Gauge

View a specific attribute for a circular or vertical gauge diagram.

Histogram

View the data as a histogram with a selected attribute measured along the x axis. The data can be grouped according to a third attribute.

Label

View a specific attribute as a label for your filtered targets.

Line

View the data as a line, with specific attributes measured along the x and y axes. Data can also be grouped according to a third attribute, while a fourth attribute can be used to determine the color of the line.

Use this option for the following analytics tasks:

  • Trending and forecasting

  • Baselining

  • Identifying the top or bottom X targets by attribute

Pareto Chart

View data as a bar chart where the values are arranged in ascending or descending order. You can choose which attributes are measured along the x and y axes.

Scatter Chart

View data as a scatter chart with specific attributes measured along the x and y axes.

Use this option for detecting anomalies.

Table

View the data as a table, with columns for each of the specified attributes. You can also choose to group the data by an attribute.

Use this option for identifying the top or bottom X targets by attribute.

Topology

View data as a topology diagram.

Treemap

View the data as a map, showing the targets as cells, where the color of the cells is determined by a specific attribute.

Use this option for identifying the top or bottom X targets by attribute.