Kursbeskrivning: BigInsights Analytics for Business Analysts - Web

This is a self-paced online course. The average amount of time to complete this course is 16 hours. Once you receive your access information, you will have 1 year to complete this course.

Please do not make travel arrangements for this course. After you receive confirmation that you are enrolled, you will be sent further instructions to access the course.

This course, developed specifically for the business analyst will teach how to capture structured, semi-structured and unstructured data from several different data source types using IBM InfoSphere BigInsights and then do manipulations and analysis on the gathered data. This course will focus on using the Graphical User Interface of InfoSphere BigInsights to collect, manipulate, analyze, view and export data.

The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day. Once you have accessed the course, instructor help is available via the course forum Monday through Friday; questions will be responded to within 24 hours.

This is the Web-based version of Classroom course BigInsights Analytics for Business Analysts (DW640SE), Instructor-led Online course BigInsights Analytics for Business Analysts (3W640SE) and Self-paced Virtual course BigInsights Analytics for Business Analysts (SPVC) (2W640SE).

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Business Analysts, Data Analysts, Data Integrators

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You should:

• complete InfoSphere BigInsights Essentials or equivalent knowledge
• have Data Analysis skills or equivalent knowledge

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• Understand various business and technical challenges dealing with big data
• Learn ways of collecting and analyzing data from different data sources such as databases, flat files, web site information, web logs, comments from blogs and other data sources in different file systems
• Develop approaches in loading data in motion (dynamic data) and data at rest (static data) to InfoSphere BigInsights to ensure data being analyzed is always current
• Use InfoSphere BigInsights to load data, manipulate data, analyze data and view data.
• View this data in a graph or to export the data acquired to several formats so it can be used outside InfoSphere BigInsights

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Content:

I. Introduction to BigInsights Analytics for Business Analysts

What this unit is about

This unit gives a brief introduction to BigInsights Analytics. It presents the business and technical challenges that a business faces and how InfoSphere BigInsights can be used to overcome these business and technical challenges.

Objectives:

• Learn about business and technical challenges in dealing with big data.
• Be introduced to what BigInsights Analytics is and how it can help with the business and technical challenges.

II. Importing Data to InfoSphere BigInsights

This unit will introduce the student to the basic concepts of adding data to InfoSphere BigInsights. It will also cover dynamic and static data and how to handle the frequency of adding them to the company data sources.

Objectives:

• To learn the concepts of importing data into InfoSphere BigInsights for analysis
• Learn how to feed static and dynamic data to InfoSphere BigInsights

Exercise:

Exercise 1: Creating a BigSheets Collection by Uploading a File.

III. BigSheets Workflow

This unit will talk about the BigSheets workflow of starting the BigSheets GUI, getting data, analyzing data and viewing it. It will cover in detail using the BigInsights Web Console Applications to get data to be analyzed.

Objective:

• The objective is to get an overview of the general steps using BigSheets to analyze data.

Exercise:

Exercise 2: Creating Collections by Using Applications to gather Data.

IV. BigSheets Collections

This unit will cover handling and manipulating data that was imported to InfoSphere BigInsights. It will go through the steps to import data and do manipulations such as filtering, combining different collections and visualizing results. This will be the detailed steps of the BigSheets Workflow.

Objectives:

• Model and import data from various sources into collections (tabular structures)
• Filter and enrich content with built-in functions
• Combine data in different collections
• Visualize results through spreadsheets, charts
• Export data into common formats

Exercise:

Exercise 3: Analyzing a BigSheets Collection

V. BigSheets Navigation

This unit will go through the InfoSphere BigInsights Web Console components that are used by BigSheets. It will familiarize the student on navigating, using and understanding the functionalities of the BigSheets portion of the Web Console.

Objectives:

• To familiarize the students with the BigInsights analytics interface
• To be familiar with the components of BigInsights analytics
• To be familiar how BigInsights analytics is organized
• To be familiar with other BigInsights analytics functionality

Exercise:

Exercise 4: Combining Data to Create a New Collection

VI. Working with BigSheets Collections

This will cover details in the steps necessary to collect and analyze data in BigSheets. It will also cover how to export data collected and how to delete, purge and restore a collection.

Objectives:

• To be familiar in running BigSheets collections
• To learn how to graphically display a collection
• To learn how to export data from a collection
• To learn how to delete a collection
• To learn how to restore deleted collections
• To learn how to purge deleted collections

Exercise:

Exercise 5: Visualizing Data in a Graphical Form and Exporting Data from a BigSheets Collection

VII. BigSheets Readers and Extensions

This unit will cover BigSheets readers and extensions that come with BigSheets. It will also show sample programs that can be used as reference in creating customized readers and plug-ins. This also serves as a short introduction to a more complex programming course for InfoSphere BigInsights.

Objectives:

• Learn about BigSheets readers
• Know the various BigSheets readers and when they are used
• Changing BigSheets readers
• Learn about BigSheets plug-ins
• Create BigSheets plug-ins
• Install BigSheets plug-ins

Exercise:

Exercise 6: Installing a BigSheets Plug-in

Agenda:

I. Introduction to BigInsights Analytics

II. Importing Data to InfoSphere BigInsights

III. BigSheets Workflow

• Exercise 1
• Exercise 2

IV. BigSheets Collections

V. BigSheets Navigation

• Exercise 3

VI. Working with BigSheets Collections

• Exercise 4
• Exercise 5

VII. BigSheets Readers and Extensions

• Exercise 6

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HW/SW CONFIGURATION

The minimum hardware and software required to launch the course are:

• Reliable HIGH-SPEED INTERNET connection (min 200 kbps up and down)
• Windows 2000 or XP or Vista
• Computer with soundcard
• Headset or computer speakers
• Internet Explorer 5.01 or later, or Firefox 1.0 or later

Network Speed Test

http://clpext.moppssc.com/index.php?option=com_wrapper&view=wrapper&Itemid=8

User: clp

Pass: ibmeduc

For example, a speed test against the server with a slow connection of 140 Kbps download and 28 Kbps upload took 14 minutes to load a 30min recording before the video began. Extrapolate from this result to estimate approximately how fast your network internet access would be.

High-speed broadband internet access is the recommended configuration for this course.

Keyboard Configuration

If you use a different character keyboard, you may experience errors when entering passwords. If possible, change your language/country settings for your keyboard to USA, which allows you to enter characters as in a QWERTY keyboard.

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