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ACIS 1504 - Introduction to Data Analytics & Business Intelligence
Big DataBig DataImport
Business Intelligence
Quality Information
FunctionsSDLCDesign• Spreadsheet*• Database
Data Analytics
E-commerceBig Data*Methods• Data Mining*• Text Mining*• OLAP*• Visualization*• Query
Database
Benefits Components
Implement with:* Excel Access PowerPoint
Segment A:Big Data
Data sets too large to process with traditional database technology
http://www.ted.com/talks/kenneth_cukier_big_data_is_better_data?language=en
Watch first 7 minutes 29 seconds
Big Data
Segment B:Import
Sources of Data
• Excel Files (xlsx)
• Non-Excel Files (csv, txt)
•Websites
Yahoo Financials Example
• http://finance.yahoo.com/q
• To generate table:•Amzn•Historical Prices•2015 Monthly
• Download to Spreadsheet OR Data from Web
Data From Web
Grade Scale Example• Import the grade scale from the class
website.
• From the class home page, select• Course Policies• Grading• Grade Scale• Scroll to bottom of page
Import
• Access data not formatted as an Excel document
• File type = txt or csv
Import Non-Excel File
Text Files• DATA ribbon
• From Text button
• Select file
• IMPORT button
All Files• FILE menu
• OPEN
• Change file type to All Files
• Select file
• OPEN button
Import – Step 1
Import – Step 2
Import – Step 3: Number Stored as Text
Import – Step 3: Omit Column
Import – Final Step
• FILE menu
• SAVE AS
• Save As Type = Excel Workbook (*.xlsx)
Accrued Expenses Example
• Import the Accrued Expenses text file.
• Be sure to preserve the leading zero on the Account number.
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