IBM BigInsights Fundamentals: Analyzing, Querying, and Extracting Big Data from Skillsoft

Online, Self-Paced

IBM BigInsights allows organizations to manage and analyze big data from various sources. It helps to process and analyze the volume and variety of data that is created and collected every day. In this course, you will learn how to use BigSheets to analyze data, how to use Big SQL to query and analyze data, and analyze data using BigInsights Text Analytics. The course also covers using Big R to analyze data.

Learning Objectives

BigInsights Text Analytics

start the course
recognize how to create a text analytics project, add documents, and use and customize a prebuilt extractor
recognize how to analyze input documents to identify information that will be extracted
identify the steps required to configure extractors and extract of features
complete the steps required to finalize and save an extractor

BigSheets and Big Data Analysis

identity the steps required to create master workbooks
recognize the steps required to create child workbooks
combine data from two workbooks into a single data collection using BigSheets
complete the steps required to create columns based on grouped data
complete the steps required to view data in BigSheets diagrams
identify the steps required to export data from workbooks to a CSV file and a browser tab

Big Data Analysis and Big SQL Queries

recognize the steps required to configure an SQL script file
complete the steps required to create and run a query to analyze data
identify the steps required to create a view that will represent data from a query
complete the steps to configure and run an Big SQL query to analyze data

Using Big R to Analyze Data

perform the steps required to upload a dataset to the BigInsights server using Big R
recognize how to use IBM BigInsights Big R to explore the structure of a dataset
work with IBM BigInsights Big R to analyze data
create a bar chart to visualize big data with IBM BigInsights Big R

Practice: BigSheets Data Analysis