Sarah sets her alarm for 630 AM to make sure she gets to class on t.pdf
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Sarah sets her alarm for 6:30 AM to make sure she gets to class on time. Based on past experience, she knows that she gets up before her alarm rings 10% of the time, gets up right when her alarm rings 30% of the time, hits snooze once 20% of the time and hits snooze twice 20% of the time. The remaining proportion of times, she turns off her alarm when it rings and ends up arriving late to.
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Scenario of the Project Plan: In the role of IT Head of Loyalist college you aim to implement a
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Scenario:
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XYZ needs to setup a system that will gather customer data from all of the different stores and
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Blindly copying data files from each store is not going to be good enough most of the time.
The corporation needs to have a standardized set of data in order to analyze it.
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Create using: DimSQLCustomers.sql
2. Build an SSIS - ETL solution to get the data from the 2 stores and load to a single data table
Review/analyze the data from all sources. Source files attached
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Extract data from all sources
Source file 1:NJCustomers.txt
Source file 2:NYCustomers.csv
State 2 character abbreviation
First and Last names Upper case
Load to the a single data location
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1. A zipped folder of the entire solution
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/****** Object: Table [dbo].[DimXYZCustomers] ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[DimXYZCustomers](
[custAcct] [numeric](18, 0) NOT NULL,
[custFirst] [nvarchar](50) NULL,
[custLast] [nvarchar](50) NULL,
[strNum] [nvarchar](50) NULL,
[strName] [nvarchar](50) NULL,
[city] [nvarchar](50) NULL,
[state] [nvarchar](50) NULL,
[zip] [int] NULL,
[creditLimit] [money] NULL,
[CustomerKey] [numeric](18, 0) IDENTITY(1,1) NOT NULL,
CONSTRAINT [PK_DimXYZCustomers] PRIMARY KEY CLUSTERED
(
[CustomerKey] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY
= OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
Ny customers.csv
acctNum,firstName,lastName,strNum,strName, city, state, zip,creditLimit
1,Lindon,Jacobs,5, Main St,Miller Place,New York,33176,330.5
2,Charissa,Gaul,34, Azalea Ct,Mt. Sinai,NY,33266,1059
3,Alyssa,wint,22, Sweetgum Lane,Farmingdale,NY,33176,150
4,Brenda,reynolds,45 B, Rocky Rd,Uniondale,New York,33266,5459.35
5,Vishnu,Ruben,123, Candid St,Port Jefferson,NY,33176,235.33
6,Renna,Kelly,4333, Louise Lane, Brookville,New York,33266,459.5
7,Chris,Rusch,12, Main St,Hempstead,NY,33176,2150
8,Lisa,Biolsi,166, Louise L.
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Scenario 1: You work in Toronto for a Japanese company. The organization has a traditional
Japanese work culture and, unfortunately, the senior leadership believes that the employees in
Toronto are lazy and undisciplined. Your director needs your help preparing a pitch proposal to
the senior leadership team for coaching, training, and/or mentoring programs for employees
and/or senior leadership to increase performance.
Question: How might this proposal align with the company's strategic objectives?
NB: > This is a presentation assignment
> Please add references
> No plagiarism please..
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b.
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c.
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d.
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f.
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Scenario:
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Blindly copying data files from each store is not going to be good enough most of the time.
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Review/analyze the data from all sources. Source files attached
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Source file 2:NYCustomers.csv
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First and Last names Upper case
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Add annotation to your design space
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What to Submit:
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2. Screenshot of the ETL solution and Data Warehouse created
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HINT: In addition to the objects we are familiar with, use the transformation component (can be
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/****** Object: Table [dbo].[DimXYZCustomers] ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[DimXYZCustomers](
[custAcct] [numeric](18, 0) NOT NULL,
[custFirst] [nvarchar](50) NULL,
[custLast] [nvarchar](50) NULL,
[strNum] [nvarchar](50) NULL,
[strName] [nvarchar](50) NULL,
[city] [nvarchar](50) NULL,
[state] [nvarchar](50) NULL,
[zip] [int] NULL,
[creditLimit] [money] NULL,
[CustomerKey] [numeric](18, 0) IDENTITY(1,1) NOT NULL,
CONSTRAINT [PK_DimXYZCustomers] PRIMARY KEY CLUSTERED
(
[CustomerKey] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY
= OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
Ny customers.csv
acctNum,firstName,lastName,strNum,strName, city, state, zip,creditLimit
1,Lindon,Jacobs,5, Main St,Miller Place,New York,33176,330.5
2,Charissa,Gaul,34, Azalea Ct,Mt. Sinai,NY,33266,1059
3,Alyssa,wint,22, Sweetgum Lane,Farmingdale,NY,33176,150
4,Brenda,reynolds,45 B, Rocky Rd,Uniondale,New York,33266,5459.35
5,Vishnu,Ruben,123, Candid St,Port Jefferson,NY,33176,235.33
6,Renna,Kelly,4333, Louise Lane, Brookville,New York,33266,459.5
7,Chris,Rusch,12, Main St,Hempstead,NY,33176,2150
8,Lisa,Biolsi,166, Louise L.
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Scenario 1: You work in Toronto for a Japanese company. The organization has a traditional
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Toronto are lazy and undisciplined. Your director needs your help preparing a pitch proposal to
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changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
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