Introduction

Learn to quickly visualize datasets and create stunning dashboards using Cloudera Data Visualization on Cloudera on cloud.

Cloudera Data Visualization enables data engineers, business analysts, and data scientists to quickly and easily explore data, collaborate, and share insights across the data lifecycle.

Prerequisites

• Have access to Cloudera on cloud environment
• Have created a Cloudera workload User
• Basic AWS CLI skills

Outline

• Watch Video
• Download Assets
• Create Virtual Warehouse
• Create and Populate Table
• Visualize Data
• Summary
• Further Reading

Watch Video

The video below provides a brief overview of what is covered in this tutorial:

Download Assets

There are two (2) options in getting assets for this tutorial:

1. Download a ZIP file

It contains only necessary files used in this tutorial. Unzip tutorial-files.zip and remember its location.

2. Clone our GitHub repository

It provides assets used in this and other tutorials; organized by tutorial title.

Using AWS CLI, copy the following data file to your S3 bucket, defined by your environment’s storage.location.base attribute:

shipping-data.csv

For example, property storage.location.base has value s3a://usermarketing-cdp-demo; we will copy the file using the command:

aws s3 cp shipping-data.csv s3://usermarketing-cdp-demo/tutorial-data/shipping-data.csv

Note: shipping dataset is publicly available on Kaggle.

Create Virtual Warehouse

Before we create a virtual warehouse, we need to make sure the environment is activated and running.

Beginning from the Cloudera Home Page, select Data Warehouse.

Locate your environment by using the filter. If you see  next to the environment name, no need to activate it because it's already been activated and running.

Otherwise, click on  to activate the environment. This will create the default database catalog, environment_name-default.

Now that the environment has been activated, in the Virtual Warehouse section, select  to create a virtual warehouse:

1. Name: Shipping-VW
2. Type: HIVE
3. Database Catalog: environment_name-default
4. Size: xsmall - 2 Executor Nodes
5. AutoSuspend Timeout: 300 seconds
6. Nodes: Min: 2, Max: 4
7. Install Data Visualization
8. CREATE

Create and Populate Table

Open HUE from your virtual warehouse:

1. Filter using your Virtual Warehouse, Shipping-VW
2. Click on 
3. Open HUE

Now that we have HUE opened, select </> Editor, copy-paste the following SQL statements onto the worksheet, make one modification and execute it:

DROP TABLE IF EXISTS default.shipping;


CREATE EXTERNAL TABLE IF NOT EXISTS default.shipping (
    ID                  integer,
    Warehouse_block     string,
    Mode_of_Shipment    string,
    Customer_care_calls integer,
    Customer_rating     integer,
    Cost_of_the_Product integer,
    Prior_purchases     integer,
    Product_importance  string,
    Gender              string,
    Discount_offered    string,
    Weight_in_gms       integer,
    Arrive_on_time      integer
  )
  ROW FORMAT DELIMITED
  FIELDS TERMINATED BY ','
  STORED AS TEXTFILE
  LOCATION ${dataset_location}
  tblproperties("skip.header.line.count"="1");


SELECT * FROM default.shipping;

IMPORTANT: You need to provide the value for variable named, dataset_location. Set the value to the location of the dataset you specified when you downloaded the dataset. For example, 's3a://usermarketing-cdp-demo/tutorial-data/'.

Visualize Data

Open Data Visualization from your virtual warehouse.

1. Filter using your Virtual Warehouse, Shipping-VW
2. Click on 
3. Open Data Visualization

Create Dataset using Table Data

Starting from Cloudera Data Visualization home page, select DATA.

1. Select Default Hive VW connection
2. Select Datasets tab
3. Select NEW DATASET

Create New dataset using table source:

Dataset Title: Shipping

Dataset Source: From Table

Select Database: default

Select Table: shipping

Edit dataset to adjust Dimensions/Measures:

4. Select dataset named Shipping
5. Select Fields
6. Select EDIT FIELDS

Modify product_importance as a Measure

Modify discount_offered as a Measure

Modify id as a Dimension

Click on SAVE

Visualize Data

Open Data Visualization from your virtual warehouse.

1. Filter using your Virtual Warehouse, Shipping-VW
2. Click on 
3. Open Data Visualization

Let’s build the Dashboard.

1. Select VISUALS
2. Select NEW DASHBOARD

We will use:

Title: Shipping Dashboard Example

Subtitle: Visually appealing representation of shipping data

In Dashboard Designer, select the Visuals tab. We are going to create four (4) new visuals using the Default Hive VW connection and Shipping dataset.

Visual for Shipping per Warehouse

Title: Shipping per Warehouse

Build Tab:

Graph Type: Bars

X Axis: warehouse_block

Y Axis: Record Count

Visual Settings Tab:

Bar size range: 25-103

Refresh Visual

Visual for Mode of Shipment

Title: Mode of Shipment

Build Tab:

Graph Type: Pie

Dimensions: mode_of_shipment

Measures: Record Count

Refresh Visual

Visual for Average Customer Rating

Title: Average Customer Rating

Build Tab:

Graph Type: Gauge

Dimensions: mode_of_shipment

Measures: Record Count

Refresh Visual

Visual for Weight Distribution

Title: Shipped Weight Distribution

Build Tab:

Graph Type: Histogram

Measure: weight_in_gms

Visual Settings Tab:

Bar size range: 20-110

Refresh Visual

We are done creating our dashboard. To save it, click on Save.

The final dashboard should look like the following:

Summary

Congratulations on completing the tutorial.

As you have seen, it is easy to visualize datasets using Cloudera Data Visualization in Cloudera's data platform. 

You are encouraged to be creative and develop other stunning dashboards.

Further Reading

Videos

• Data Warehouse Collection

Blogs

• Self-Service Data Visualization For The Full Data Lifecycle

Other

• Have a question? Join Cloudera Community
• Cloudera Data Warehouse documentation