Version 11.1 IBM Cognos Analytics
IBM Cognos Analytics Version 11.1
Notebook User Guide
IBM
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This document applies to IBM Cognos Analytics version 11.1.0 and may also apply to subsequent releases.
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Contents
Chapter 1. Installing IBM Cognos Analytics for Jupyter Notebook Server.................1
Hardware requirements for Jupyter Notebook Server............................................................................... 1 Installing Jupyter Notebook Server on Linux..............................................................................................2
Uninstalling Jupyter Notebook Server................................................................................................... 4 Installing Jupyter Notebook Server on Microsoft Windows 10.................................................................. 4
Uninstalling Jupyter Notebook Server................................................................................................... 6 Installing a pip package in an offline Linux environment........................................................................... 6 Installing a pip package in an offline Windows environment..................................................................... 7 Configuring Jupyter Notebook Server......................................................................................................... 8
Configuring the Cognos Analytics gateway for Jupyter Notebook Server.......................................... 10 Securing Jupyter Notebook Server........................................................................................................... 11 Upgrading IBM Cognos Analytics for Jupyter Notebook Server...............................................................12
Upgrading your installation for Linux................................................................................................... 12 Upgrading your installation for Microsoft Windows............................................................................ 13 Upgrading Python packages and R packages......................................................................................13 Adding additional Ubuntu operating system packages.................................................................. 14 Troubleshooting IBM Cognos Analytics for Jupyter Notebook Server.....................................................15
Chapter 2. Enabling IBM Cognos Analytics for Jupyter Notebook...........................17
Chapter 3. Getting started with Notebook.............................................................19
Creating a notebook...................................................................................................................................20 Notebook actions....................................................................................................................................... 20 Reading data from a data source...............................................................................................................21 Writing data to a data source.....................................................................................................................24 Searching for data objects......................................................................................................................... 25 File paths that contain a forward slash..................................................................................................... 27 Finding the ID of a file................................................................................................................................27 Python notebook examples....................................................................................................................... 28 R notebook examples................................................................................................................................ 31 Uploading external notebooks.................................................................................................................. 37 Connecting Watson Studio notebooks to Cognos Analytics (Cloud Pak for Data only)........................... 38 Best practices for displaying notebook visualizations in dashboards......................................................39
Chapter 4. Adding a Notebook widget...................................................................41
Chapter 5. Including output from a notebook........................................................43
Chapter 6. Jupyter notebook samples.................................................................. 45
Flexible lightweight ETL notebook sample............................................................................................... 45 Time series analysis notebook sample..................................................................................................... 45 Visualization creation notebook sample................................................................................................... 45 Retailer dashboard notebook sample....................................................................................................... 45 Telecom data analysis notebook sample.................................................................................................. 45 Telecom data visualizations notebook sample......................................................................................... 45 Unit infection data notebook sample........................................................................................................ 46 Data quality template notebook sample...................................................................................................46 Schedule data creation notebook sample................................................................................................ 46 Schedule data creation notebook widget sample.................................................................................... 46 Health insurance coverage analysis notebook sample ............................................................................46
iii
Retailer report notebook widget sample.................................................................................................. 46
Index.................................................................................................................. 47
iv
Chapter 1. Installing IBM Cognos Analytics for Jupyter Notebook Server
IBM? Cognos? Analytics includes a version of Jupyter Notebook that is available as a separate installer.
After you install Jupyter Notebook Server, Cognos Analytics users can create and edit Jupyter Notebook in Cognos Analytics.
The two main components of Jupyter Notebook Server are JupyterHub and the Notebook viewer (NbViewer). JupyterHub is the orchestrator that manages multiple server instances.
IBM Cognos Analytics for Jupyter Notebook Server can be installed on the same computer as IBM Cognos Analytics Server or on a different computer. The following diagram shows the server architecture.
Architecture of IBM Cognos Analytics for Jupyter Notebook
Client browsers
Servers
BI Proxy
Cognos Analytics Server
Content service
Data Query service
NbViewer
JupyterHub Orchestration
Jupyter - S1 Jupyter - S2
Jupyter - S3 Cognos Analytics for Jupyter Notebook Server
Before you install Cognos Analytics for Jupyter Server, determine your hardware requirements.
After you install and configure IBM Cognos Analytics for Jupyter Notebook Server, the administrator must perform these tasks:
? Assign the Notebook capability to the appropriate users. For more information, see Managing IBM Cognos Analytics.
? Enable IBM Cognos Analytics for Jupyter Notebook. For more information, see Managing IBM Cognos Analytics.
Hardware requirements for Jupyter Notebook Server
The hardware requirements of a Cognos Analytics for Jupyter Server installation depend on the number of concurrent Notebook users and the complexity of their work.
To determine the sizing requirements of your Cognos Analytics Jupyter Server installation, consider these two factors:
? the number of active Notebook sessions that will run concurrently
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