Normalization is a process to organize a database into tables to eliminate data duplication and inconsistencies. It occurs in three stages - first normal form removes repeating groups into new tables, second normal form removes partial dependencies into new tables, and third normal form removes transitive dependencies into new tables. An example database is normalized from a single table into multiple tables in third normal form to avoid problems like data repetition, delete and update anomalies.
Lamar University - MISY 3310 Access ProjectPremiere Products.docxDIPESH30
Lamar University - MISY 3310
Access Project
Premiere Products – Data Management
Premiere Products is a distributor of appliances, house wares, and sporting goods. Since its inception, the company has used spreadsheet software to maintain customer, order, inventory, and sales representative data. Redundancy and difficulty in accessing related data are the major problems that employees at Premiere Products encounter with the spreadsheets. The company’s business activities have grown significantly in the recent years and it is no longer feasible to use spreadsheets to maintain its data.
The management of Premiere Products has determined that Premiere Products must maintain, in a new database, the following information about its sales representatives, customers, parts inventory, and suppliers:
· Premiere Products must store the sales rep number that uniquely identifies a representative. In addition, it has to store the sales rep last name, first name, address, total commission, and commission rate.
· The company must store the customer number, which uniquely identifies a customer, customer name, address, current balance, and credit limit for each customer, as well as the number of sales representative who represents the customer.
· The company must store the part number, description, number of units on hand, item type, number of the warehouse where the item is stored, and unit price for each part in inventory.
· Premiere Products must store information about the suppliers who supply parts. The supplier is uniquely identified by supplier number. In addition, a supplier has a name, address, city, contact name and telephone number.
Premiere Products must also store information about orders. The orders have three components: The heading (top) of the order contains the order number and the date; the customer’s number, name, and address; and the sales rep number and name. The body of the order contains one or more order lines, sometimes called line items. Each order line contains a part number, a part description, the number of units of the part ordered, and the quoted price for the part. Each order line also contains a total, usually called an extension, which is the result of multiplying the number ordered by the quoted price. Finally, the footing (bottom) of the order contains the order total.
Premiere Products must also store the following items for each customer’s order:
· For each order, they must store the order number, the date the order was placed, and the number of the customer that placed the order. The customer’s name and address and the number of the sales rep who represents the customer are stored with the customer information. The name of the sales rep is stored with the sales rep information.
· For each order line, the database must store the order number, the part number, the number of units ordered, and the quoted price. Remember that the part description is stored with the information about parts. The result of mu ...
Lamar University - MISY 3310 Access ProjectPremiere Products.docxDIPESH30
Lamar University - MISY 3310
Access Project
Premiere Products – Data Management
Premiere Products is a distributor of appliances, house wares, and sporting goods. Since its inception, the company has used spreadsheet software to maintain customer, order, inventory, and sales representative data. Redundancy and difficulty in accessing related data are the major problems that employees at Premiere Products encounter with the spreadsheets. The company’s business activities have grown significantly in the recent years and it is no longer feasible to use spreadsheets to maintain its data.
The management of Premiere Products has determined that Premiere Products must maintain, in a new database, the following information about its sales representatives, customers, parts inventory, and suppliers:
· Premiere Products must store the sales rep number that uniquely identifies a representative. In addition, it has to store the sales rep last name, first name, address, total commission, and commission rate.
· The company must store the customer number, which uniquely identifies a customer, customer name, address, current balance, and credit limit for each customer, as well as the number of sales representative who represents the customer.
· The company must store the part number, description, number of units on hand, item type, number of the warehouse where the item is stored, and unit price for each part in inventory.
· Premiere Products must store information about the suppliers who supply parts. The supplier is uniquely identified by supplier number. In addition, a supplier has a name, address, city, contact name and telephone number.
Premiere Products must also store information about orders. The orders have three components: The heading (top) of the order contains the order number and the date; the customer’s number, name, and address; and the sales rep number and name. The body of the order contains one or more order lines, sometimes called line items. Each order line contains a part number, a part description, the number of units of the part ordered, and the quoted price for the part. Each order line also contains a total, usually called an extension, which is the result of multiplying the number ordered by the quoted price. Finally, the footing (bottom) of the order contains the order total.
Premiere Products must also store the following items for each customer’s order:
· For each order, they must store the order number, the date the order was placed, and the number of the customer that placed the order. The customer’s name and address and the number of the sales rep who represents the customer are stored with the customer information. The name of the sales rep is stored with the sales rep information.
· For each order line, the database must store the order number, the part number, the number of units ordered, and the quoted price. Remember that the part description is stored with the information about parts. The result of mu ...
3.2. Process Order Info (Change the name ComponentModule .docxgilbertkpeters11344
3.2. Process Order Info (Change the name “Component/Module
One to be the actual name of the module you are designing.
Repeat section 3.1 for ea. component)
3.2.1 Processing Description
Provide a Primitive DFD (SAD) or a Use Case Diagram (OOAD) and a brief
narrative
Customer
Sales Person
& Operations
Manager
Provide info
2.1
Create new
order
2.2
Update order
info
2.3
Search for
order
Order Data
Order Data
Search params
Order
Database
Invalid Data
Valid Order Info
Invalid search params
Search results
Valid search params
Search results
Valid Order Info
Invalid Data
Module 2.1 – Create new order
o Customer provides order information to Sales Person or Operations Manager (staff).
Staff enters data into system. If data is validated, system creates a new order in Order
Database and triggers Notification module. If data is invalidated, error message is
returned to Staff.
Module 2.2 – Update order info
o Customer provides order information to Staff. Staff enters data into system. If data is
validated, system updates order in Order Database. If data is invalidated, error message
is returned to Staff.
Module 2.3 – Search for order
o Staff enters order search parameters into system. If search parameters are validated,
system searches Order Database for order that fulfills search parameters and returns
search results to Staff. If system is unable to locate order that fulfills search parameters,
system will return failure message.
3.2.2 Interface Description
3.2.2.1 Module 2 – Process Order Info
There are several items that should be covered here:
If the component has a GUI, display the image of the GUI and define each
field, button, link on the GUI.
if the component receives data, describe the data coming in and where it
should go once it is processed (Input/Output)
If there is data to be passed to another component that should be listed
This section will have a detailed written description of what each button, link, data
entry field etc., does on the page, with an image of the proposed page layout, for
each page.
WSC – Order Processing
search
Job type
Media type
Catalog #
Printing/Engraving content
Order Processing
Create New Order Search Orders Update Order
Name of Customer (#cust_id)
Cancel
Order ID #
Type of Job:
Type of Media:
Media Catalog #:
Content to Print/Engrave:
W2
WSC - Message
Insufficient/Incorrect information
entered. Please verify data and try
again.
W2m
OK
Module 2 – GUI Control Info
Control Name
Control
Type Control Data Control Description
lbl_msg Label Name of
lbl_cust_name Label cust_fname + cust_lname
Display from Customer Database of customer first and last name
concatenated
lbl_cust_id Label cust_id Display from Customer Database of customer ID number
lbl_ord_id Label Order ID #
txt_ord_id Textbox Search
Enter Order ID # here to search for corresponding order from Order
.
A relational database is a type of database that uses a structure that allows data to be queried and retrieved in a very efficient manner. The relational database model is based on the principles of relational algebra, a mathematical concept for managing data relationships.
Here are some key components and concepts associated with relational databases:
Tables (Relations): In a relational database, data is organized into tables. Each table consists of rows and columns, where each row represents a record, and each column represents a specific attribute or field of the record. Tables are also referred to as relations in the context of relational databases.
Fields (Attributes): Columns in a table are often called fields or attributes. Each field has a data type that defines the kind of data it can store (e.g., text, numbers, dates).
Records (Tuples): Rows in a table are known as records or tuples. Each record represents a unique instance of the entity that the table is modeling.
Keys:
Primary Key: A primary key is a unique identifier for a record in a table. It ensures that each record can be uniquely identified.
Foreign Key: A foreign key is a field in a table that refers to the primary key in another table. It establishes a link between the two tables, representing a relationship.
Relationships:
One-to-One: Each record in the first table is related to one and only one record in the second table.
One-to-Many (or Many-to-One): Each record in the first table can be related to multiple records in the second table, but each record in the second table is related to only one record in the first table.
Many-to-Many: Many records in the first table can be related to many records in the second table, and vice versa. This is typically implemented using an intermediate table.
Normalization: The process of organizing data in a database to reduce redundancy and dependency. Normalization involves dividing large tables into smaller, related tables and defining relationships between them.
SQL (Structured Query Language): SQL is a standard language for interacting with relational databases. It is used to define and manipulate the data, perform queries, and manage the database structure.
Popular relational database management systems (RDBMS) include:
MySQL: An open-source relational database.
PostgreSQL: An open-source object-relational database.
Oracle Database: A commercial database management system.
Microsoft SQL Server: A relational database management system developed by Microsoft.
Relational databases are widely used in various applications and industries due to their flexibility, efficiency, and ability to model complex relationships between data entities.
A_CH05_EXPV2_A1_Instructions.docx
Office 2013 – myitlab:grader – Instructions Exploring Series Vol. 2
Paterson Credit Union
Project Description:
You work as a database administrator at the Paterson Credit Union. You are modifying a database to add validation, lookup fields, and an input mask. You will also modify queries to take advantage of advanced functions and features.
Instructions:
For the purpose of grading the project you are required to perform the following tasks:
Step Instructions Points Possible
1 Start Access. Open the file named exploring_a05_grader_a1_Bank.accdb. 0
2 Use Design view to create a new table. Add AccountType as the first field name, with data type Short Text and field size 10. Ensure AccountType is set as the primary key. Save the table and name it AccountTypes. Add three records: Platinum, Silver, and Gold. Close the table. 4
3 Open the Customers table in Design view. Set the PhoneNumber and AccountType fields to Required. Save the table. Close the table. 6
4 Open the Loans table in Design view. Establish a validation rule for the InterestRate field that requires the value to be greater than or equal to 2.5 but less than or equal to 10. Create validation text for the InterestRate: Value must be between 2.5 and 10. Save the table. Change the InterestRate in the first record to 2. The validation text appears. Press Esc to restore the original value. Close the Loans table. 8
5 Open the Customers table in Design view. Add a phone number input mask for the PhoneNumber field, storing the symbols with the data. 16
6 Change the Data Type of the AccountType field to Lookup Wizard. Use the AccountTypes table for the values in the lookup field, select the AccountType field from the table, accept the default sort, accept default column widths, and then accept the default name AccountType. Save the table. Switch to Datasheet view. 8
7 Change the account type to Platinum in the first record and click the second record. Close the table. 2
8 Open the Customer Loans Parameter query in Design view. Add criteria for the Amount field. The user should be prompted to Enter Minimum Loan Amount. The query should display all results that greater than or equal to the threshold. Run the query. Enter 400000 when prompted to Enter Minimum Loan Amount. You should have two results. Save and close the query. 16
9 Open the Missing Addresses query in Design view. Add a new column to determine if a customer does not have an address on file. If the customer’s Address is null, it should display Missing. If not, it should display nothing. Name the column AddressPresent. Add criteria of Missing to the column you just created, so only the customers missing an address display. Move the AddressPresent field so it appears between PhoneNumber and Address. Run the query. Ensure only customers with null Address fields display. Save and close the query. 10
10 Open the Loans By Interest Rate query in Design view. Create a new column to round the Interest ...
CS1100 Access Lab 1 Creating and Querying Database.docxfaithxdunce63732
CS1100: Access Lab 1
Creating and Querying Databases
To complete this assignment you must submit an electronic copy to Blackboard by the due date.
You will be creating your own database, so there is no starter file for this lab. In this lab you are
asked to create a new database for inventory management of a small computer reseller, populate
the database with sample data and formulate queries to retrieve data.
Creating the Database
The founding of WizBang Computers, LLC is the dream of Jason Dunn, a long time computer
enthusiast. He finally has enough business customers to make his side venture a full time job. His
goal is to build WizBang into the premier reseller and servicer of business computers for small to
mid-size firms. As his sales of custom-built PCs have taken off, Jason realizes that he needs a
better inventory management tool than the Excel spreadsheet he has been using thus far.
However, Jason is too busy providing on-site support services for his clients and therefore has
hired you to build an Access database for WizBang that will allow him to track his inventory,
customer contacts, and orders. Eventually, the data will not only help him manage his inventory
better, but also provide insight into sales for better sales forecasting and inventory planning.
Planning the Tables
A database development effort starts with an analysis of the data that needs to be stored.
Commonly a data model is constructed to assist with this effort. So far, the following tables have
been identified as being important:
Table Name Content
Contacts Information about customers
Products Information about products available for sale
Orders Information about orders placed by customers
ZipCodes Cities and states and their associated zip code
LineItems Lists of products and the orders in which they were ordered
1. Start Microsoft Access and create a blank database by selecting “Blank database” from
the list of available templates.
2. Name your database using the following naming rule: Orders_Lastname,
e.g., Orders_Smith
LabA1 CS1100
2 of 8
3. Note the location of the database (remember the folder in which it was saved; most likely
the Documents folder.) Lastly, click on Create to create the database. Note that data is
automatically saved as soon as you change something in Access; there is no separate
Save mechanism.
4. Access will automatically create your first table under the temporary name “Table1”.
Before you can rename the table, we need to first define its columns (i.e., its data content)
and then close the table. We will start by creating the Contacts table as follows:
a. Switch to table design, by clicking on the Design View icon. When prompted,
save the table under the name “Contacts”.
b. Define the fields of the Contacts table as follows:
c. Now create the Products table by selecting the Create tab and clicking on Table.
Once again, switch to the.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
3.2. Process Order Info (Change the name ComponentModule .docxgilbertkpeters11344
3.2. Process Order Info (Change the name “Component/Module
One to be the actual name of the module you are designing.
Repeat section 3.1 for ea. component)
3.2.1 Processing Description
Provide a Primitive DFD (SAD) or a Use Case Diagram (OOAD) and a brief
narrative
Customer
Sales Person
& Operations
Manager
Provide info
2.1
Create new
order
2.2
Update order
info
2.3
Search for
order
Order Data
Order Data
Search params
Order
Database
Invalid Data
Valid Order Info
Invalid search params
Search results
Valid search params
Search results
Valid Order Info
Invalid Data
Module 2.1 – Create new order
o Customer provides order information to Sales Person or Operations Manager (staff).
Staff enters data into system. If data is validated, system creates a new order in Order
Database and triggers Notification module. If data is invalidated, error message is
returned to Staff.
Module 2.2 – Update order info
o Customer provides order information to Staff. Staff enters data into system. If data is
validated, system updates order in Order Database. If data is invalidated, error message
is returned to Staff.
Module 2.3 – Search for order
o Staff enters order search parameters into system. If search parameters are validated,
system searches Order Database for order that fulfills search parameters and returns
search results to Staff. If system is unable to locate order that fulfills search parameters,
system will return failure message.
3.2.2 Interface Description
3.2.2.1 Module 2 – Process Order Info
There are several items that should be covered here:
If the component has a GUI, display the image of the GUI and define each
field, button, link on the GUI.
if the component receives data, describe the data coming in and where it
should go once it is processed (Input/Output)
If there is data to be passed to another component that should be listed
This section will have a detailed written description of what each button, link, data
entry field etc., does on the page, with an image of the proposed page layout, for
each page.
WSC – Order Processing
search
Job type
Media type
Catalog #
Printing/Engraving content
Order Processing
Create New Order Search Orders Update Order
Name of Customer (#cust_id)
Cancel
Order ID #
Type of Job:
Type of Media:
Media Catalog #:
Content to Print/Engrave:
W2
WSC - Message
Insufficient/Incorrect information
entered. Please verify data and try
again.
W2m
OK
Module 2 – GUI Control Info
Control Name
Control
Type Control Data Control Description
lbl_msg Label Name of
lbl_cust_name Label cust_fname + cust_lname
Display from Customer Database of customer first and last name
concatenated
lbl_cust_id Label cust_id Display from Customer Database of customer ID number
lbl_ord_id Label Order ID #
txt_ord_id Textbox Search
Enter Order ID # here to search for corresponding order from Order
.
A relational database is a type of database that uses a structure that allows data to be queried and retrieved in a very efficient manner. The relational database model is based on the principles of relational algebra, a mathematical concept for managing data relationships.
Here are some key components and concepts associated with relational databases:
Tables (Relations): In a relational database, data is organized into tables. Each table consists of rows and columns, where each row represents a record, and each column represents a specific attribute or field of the record. Tables are also referred to as relations in the context of relational databases.
Fields (Attributes): Columns in a table are often called fields or attributes. Each field has a data type that defines the kind of data it can store (e.g., text, numbers, dates).
Records (Tuples): Rows in a table are known as records or tuples. Each record represents a unique instance of the entity that the table is modeling.
Keys:
Primary Key: A primary key is a unique identifier for a record in a table. It ensures that each record can be uniquely identified.
Foreign Key: A foreign key is a field in a table that refers to the primary key in another table. It establishes a link between the two tables, representing a relationship.
Relationships:
One-to-One: Each record in the first table is related to one and only one record in the second table.
One-to-Many (or Many-to-One): Each record in the first table can be related to multiple records in the second table, but each record in the second table is related to only one record in the first table.
Many-to-Many: Many records in the first table can be related to many records in the second table, and vice versa. This is typically implemented using an intermediate table.
Normalization: The process of organizing data in a database to reduce redundancy and dependency. Normalization involves dividing large tables into smaller, related tables and defining relationships between them.
SQL (Structured Query Language): SQL is a standard language for interacting with relational databases. It is used to define and manipulate the data, perform queries, and manage the database structure.
Popular relational database management systems (RDBMS) include:
MySQL: An open-source relational database.
PostgreSQL: An open-source object-relational database.
Oracle Database: A commercial database management system.
Microsoft SQL Server: A relational database management system developed by Microsoft.
Relational databases are widely used in various applications and industries due to their flexibility, efficiency, and ability to model complex relationships between data entities.
A_CH05_EXPV2_A1_Instructions.docx
Office 2013 – myitlab:grader – Instructions Exploring Series Vol. 2
Paterson Credit Union
Project Description:
You work as a database administrator at the Paterson Credit Union. You are modifying a database to add validation, lookup fields, and an input mask. You will also modify queries to take advantage of advanced functions and features.
Instructions:
For the purpose of grading the project you are required to perform the following tasks:
Step Instructions Points Possible
1 Start Access. Open the file named exploring_a05_grader_a1_Bank.accdb. 0
2 Use Design view to create a new table. Add AccountType as the first field name, with data type Short Text and field size 10. Ensure AccountType is set as the primary key. Save the table and name it AccountTypes. Add three records: Platinum, Silver, and Gold. Close the table. 4
3 Open the Customers table in Design view. Set the PhoneNumber and AccountType fields to Required. Save the table. Close the table. 6
4 Open the Loans table in Design view. Establish a validation rule for the InterestRate field that requires the value to be greater than or equal to 2.5 but less than or equal to 10. Create validation text for the InterestRate: Value must be between 2.5 and 10. Save the table. Change the InterestRate in the first record to 2. The validation text appears. Press Esc to restore the original value. Close the Loans table. 8
5 Open the Customers table in Design view. Add a phone number input mask for the PhoneNumber field, storing the symbols with the data. 16
6 Change the Data Type of the AccountType field to Lookup Wizard. Use the AccountTypes table for the values in the lookup field, select the AccountType field from the table, accept the default sort, accept default column widths, and then accept the default name AccountType. Save the table. Switch to Datasheet view. 8
7 Change the account type to Platinum in the first record and click the second record. Close the table. 2
8 Open the Customer Loans Parameter query in Design view. Add criteria for the Amount field. The user should be prompted to Enter Minimum Loan Amount. The query should display all results that greater than or equal to the threshold. Run the query. Enter 400000 when prompted to Enter Minimum Loan Amount. You should have two results. Save and close the query. 16
9 Open the Missing Addresses query in Design view. Add a new column to determine if a customer does not have an address on file. If the customer’s Address is null, it should display Missing. If not, it should display nothing. Name the column AddressPresent. Add criteria of Missing to the column you just created, so only the customers missing an address display. Move the AddressPresent field so it appears between PhoneNumber and Address. Run the query. Ensure only customers with null Address fields display. Save and close the query. 10
10 Open the Loans By Interest Rate query in Design view. Create a new column to round the Interest ...
CS1100 Access Lab 1 Creating and Querying Database.docxfaithxdunce63732
CS1100: Access Lab 1
Creating and Querying Databases
To complete this assignment you must submit an electronic copy to Blackboard by the due date.
You will be creating your own database, so there is no starter file for this lab. In this lab you are
asked to create a new database for inventory management of a small computer reseller, populate
the database with sample data and formulate queries to retrieve data.
Creating the Database
The founding of WizBang Computers, LLC is the dream of Jason Dunn, a long time computer
enthusiast. He finally has enough business customers to make his side venture a full time job. His
goal is to build WizBang into the premier reseller and servicer of business computers for small to
mid-size firms. As his sales of custom-built PCs have taken off, Jason realizes that he needs a
better inventory management tool than the Excel spreadsheet he has been using thus far.
However, Jason is too busy providing on-site support services for his clients and therefore has
hired you to build an Access database for WizBang that will allow him to track his inventory,
customer contacts, and orders. Eventually, the data will not only help him manage his inventory
better, but also provide insight into sales for better sales forecasting and inventory planning.
Planning the Tables
A database development effort starts with an analysis of the data that needs to be stored.
Commonly a data model is constructed to assist with this effort. So far, the following tables have
been identified as being important:
Table Name Content
Contacts Information about customers
Products Information about products available for sale
Orders Information about orders placed by customers
ZipCodes Cities and states and their associated zip code
LineItems Lists of products and the orders in which they were ordered
1. Start Microsoft Access and create a blank database by selecting “Blank database” from
the list of available templates.
2. Name your database using the following naming rule: Orders_Lastname,
e.g., Orders_Smith
LabA1 CS1100
2 of 8
3. Note the location of the database (remember the folder in which it was saved; most likely
the Documents folder.) Lastly, click on Create to create the database. Note that data is
automatically saved as soon as you change something in Access; there is no separate
Save mechanism.
4. Access will automatically create your first table under the temporary name “Table1”.
Before you can rename the table, we need to first define its columns (i.e., its data content)
and then close the table. We will start by creating the Contacts table as follows:
a. Switch to table design, by clicking on the Design View icon. When prompted,
save the table under the name “Contacts”.
b. Define the fields of the Contacts table as follows:
c. Now create the Products table by selecting the Create tab and clicking on Table.
Once again, switch to the.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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Normalization2
1. Source: http://www.bus.iastate.edu/mennecke/533/s03/normalization_examples.htm
Normalization
Normalization is a method for organizing data elements in a database into tables.
Normalization Avoids
· Duplication of Data – The same data is listed in multiple lines of the database
· Insert Anomaly – A record about an entity cannot be inserted into the table without first
inserting information about another entity – Cannot enter a customer without a sales
order
· Delete Anomaly – A record cannot be deleted without deleting a record about a related
entity. Cannot delete a sales order without deleting all of the customer’s information.
· Update Anomaly – Cannot update information without changing information in many
places. To update customer information, it must be updated for each sales order the
customer has placed
Normalization is a three stage process – After the first stage, the data is said to be in first normal
form, after the second, it is in second normal form, after the third, it is in third normal form
Before Normalization
1. Begin with a list of all of the fields that must appear in the database. Think of this as one big
table.
2. Do not include computed fields
3. One place to begin getting this information is from a printed document used by the system.
4. Additional attributes besides those for the entities described on the document can be added to
the database.
Before Normalization – Example
Sales Order
Fiction Company
202 N. Main
Mahattan, KS 66502
CustomerNumber: 1001 Sales Order Number: 405
Customer Name: ABC Company Sales Order Date: 2/1/2000
Customer Address: 100 Points Clerk Number: 210
Manhattan, KS 66502 Clerk Name: Martin Lawrence
Item Ordered Description Quantity Unit Price Total
800 widgit small 40 60.00 2,400.00
801 tingimajigger 20 20.00 400.00
805 thingibob 10 100.00 1,000.00
Order Total 3,800.00
See Sales Order from below:
2. Fields in the original data table will be as follows:
SalesOrderNo, Date, CustomerNo, CustomerName, CustomerAdd, ClerkNo, ClerkName,
ItemNo, Description, Qty, UnitPrice
Think of this as the baseline – one large table
Normalization: First Normal Form
· Separate Repeating Groups into New Tables.
· Repeating Groups Fields that may be repeated several times for one document/entity
· Create a new table containing the repeating data
· The primary key of the new table (repeating group) is always a composite key; Usually
document number and a field uniquely describing the repeating line, like an item number.
First Normal Form Example
The new table is as follows:
SalesOrderNo, ItemNo, Description, Qty, UnitPrice
The repeating fields will be removed from the original data table, leaving the following.
SalesOrderNo, Date, CustomerNo, CustomerName, CustomerAdd, ClerkNo, ClerkName
These two tables are a database in first normal form
What if we did not Normalize the Database to First Normal Form?
Repetition of Data – SO Header data repeated for every line in sales order.
Normalization: Second Normal Form
· Remove Partial Dependencies.
· Functional Dependency The value of one attribute in a table is determined entirely by
the value of another.
· Partial Dependency A type of functional dependency where an attribute is functionally
dependent on only part of the primary key (primary key must be a composite key).
· Create separate table with the functionally dependent data and the part of the key on
which it depends. Tables created at this step will usually contain descriptions of
resources.
Second Normal Form Example
The new table will contain the following fields:
ItemNo, Description
All of these fields except the primary key will be removed from the original table. The primary
key will be left in the original table to allow linking of data:
SalesOrderNo, ItemNo, Qty, UnitPrice
Never treat price as dependent on item. Price may be different for different sales orders
(discounts, special customers, etc.)
Along with the unchanged table below, these tables make up a database in second normal form:
SalesOrderNo, Date, CustomerNo, CustomerName, CustomerAdd, ClerkNo, ClerkName
What if we did not Normalize the Database to Second Normal Form?
· Repetition of Data – Description would appear every time we had an order for the item
· Delete Anomalies – All information about inventory items is stored in the
SalesOrderDetail table. Delete a sales order, delete the item.
3. · Insert Anomalies – To insert an inventory item, must insert sales order.
· Update Anomalies – To change the description, must change it on every SO.
Normalization: Third Normal Form
· Remove transitive dependencies.
· Transitive Dependency A type of functional dependency where an attribute is
functionally dependent on an attribute other than the primary key. Thus its value is only
indirectly determined by the primary key.
· Create a separate table containing the attribute and the fields that are functionally
dependent on it. Tables created at this step will usually contain descriptions of either
resources or agents. Keep a copy of the key attribute in the original file.
Third Normal Form Example
The new tables would be:
CustomerNo, CustomerName, CustomerAdd
ClerkNo, ClerkName
All of these fields except the primary key will be removed from the original table. The primary
key will be left in the original table to allow linking of data as follows:
SalesOrderNo, Date, CustomerNo, ClerkNo
Together with the unchanged tables below, these tables make up the database in third normal
form.
ItemNo, Description
SalesOrderNo, ItemNo, Qty, UnitPrice
What if we did not Normalize the Database to Third Normal Form?
· Repetition of Data – Detail for Cust/Clerk would appear on every SO
· Delete Anomalies – Delete a sales order, delete the customer/clerk
· Insert Anomalies – To insert a customer/clerk, must insert sales order.
· Update Anomalies – To change the name/address, etc, must change it on every SO.
Completed Tables in Third Normal Form
Customers: CustomerNo, CustomerName, CustomerAdd
Clerks: ClerkNo, ClerkName
Inventory Items: ItemNo, Description
Sales Orders: SalesOrderNo, Date, CustomerNo, ClerkNo
SalesOrderDetail: SalesOrderNo, ItemNo, Qty, UnitPrice