acis 1504 - introduction to data analytics & business intelligence big data import

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.