Category: Coding

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How To Use AI in Your Livestream

Artificial intelligence (AI) is becoming increasingly popular in the live streaming industry as a tool for enhancing the viewer experience and streamlining workflows. AI can help to automate tasks, analyze data, and personalize the viewer experience. Here are some tips on how to use AI in your live stream effectively.

  1. Choose the right AI tools: There are many AI tools available, each with its own strengths and limitations. It’s important to choose the right AI tools for your specific needs and goals. Consider using tools that offer features such as natural language processing, image recognition, and sentiment analysis.
  2. Personalize the viewer experience: AI can help to personalize the viewer experience by analyzing viewer data and previous interactions. Use AI to personalize content recommendations, chatbot responses, and other elements of your live stream. Personalization can help to increase engagement and viewer loyalty.
  3. Improve content recommendations: AI can help to improve content recommendations by analyzing viewer data and preferences. Use AI to recommend relevant content to viewers, such as related videos or products. This can help to increase viewer engagement and drive conversions.
  4. Optimize production workflows: AI can help to streamline production workflows by automating tasks such as video editing, captioning, and transcription. Use AI to automate repetitive tasks and free up time for more creative work. This can help to improve efficiency and reduce costs.
  5. Monitor and analyze performance: AI can help to monitor and analyze live stream performance in real-time. Use AI to track viewer engagement, sentiment, and feedback. Use this data to make real-time adjustments to your live stream and improve the viewer experience.
  6. Enhance accessibility: AI can help to enhance accessibility by providing real-time captioning and translation. Use AI to provide captions and translations in multiple languages, making your live stream accessible to a wider audience.

AI can be a powerful tool for enhancing the viewer experience and streamlining workflows in live streaming. To use AI effectively, it’s important to choose the right tools, personalize the viewer experience, improve content recommendations, optimize production workflows, monitor and analyze performance, and enhance accessibility. By incorporating AI into your live stream, you can improve efficiency, increase engagement, and achieve your marketing objectives.

101, Coding, Collaboration, Content Delivery Networks, Digital Platforms, Learning, Mentoring, Streaming, Technology

101: How to Create SCTE 35 & 224 Markers for HLS, JSON, XML, Python, JavaScript, & Ruby

To create SCTE markers for DAI (Dynamic Ad Insertion) for live streaming, you can use a variety of scripting languages and tools. Here are a few examples:

SCTE-35 is a standard for signaling ad insertion opportunities in live streams. It uses MPEG-2 Transport Stream packets to insert “cue” messages that indicate the start and end of ad breaks. To create SCTE-35 markers, you can use tools like SCTE-35 Commander or SCTE-35 Injector. These tools allow you to create SCTE-35 messages and insert them into your live stream.

1. HLS: HLS (HTTP Live Streaming) is a streaming protocol that allows for dynamic ad insertion in live streams. To create SCTE markers for HLS, you can use the EXT-X-CUE-OUT and EXT-X-CUE-IN tags. These tags indicate the start and end of an ad break and can be used to trigger the insertion of ad content. Here is an example of an HLS manifest with SCTE markers:

“`m3u8
#EXTM3U
#EXT-X-VERSION:3
#EXT-X-TARGETDURATION:10
#EXT-X-MEDIA-SEQUENCE:0
#EXT-X-CUE-OUT:DURATION=30
#EXTINF:10.0,
https://example.com/live/stream_720p/chunk_00001.ts
#EXTINF:10.0,
https://example.com/live/stream_720p/chunk_00002.ts
#EXT-X-CUE-IN
#EXTINF:10.0,
https://example.com/live/ad_720p/chunk_00001.ts
#EXTINF:10.0,
https://example.com/live/ad_720p/chunk_00002.ts
#EXT-X-CUE-OUT:DURATION=30
#EXTINF:10.0,
https://example.com/live/stream_720p/chunk_00003.ts
#EXTINF:10.0,
https://example.com/live/stream_720p/chunk_00004.ts
#EXT-X-CUE-IN
#EXTINF:10.0,
https://example.com/live/ad_720p/chunk_00003.ts
#EXTINF:10.0,
https://example.com/live/ad_720p/chunk_00004.ts
#EXT-X-ENDLIST
“`

In this example, the SCTE markers are represented by the EXT-X-CUE-OUT and EXT-X-CUE-IN tags. These tags indicate the start and end of an ad break, and the ad content is inserted between them.

2. JSON: SCTE-224 is a standard for signaling ad breaks in live streams using JSON metadata. To create SCTE markers using SCTE-224, you can use tools like the SCTE-224 Event Scheduler or the SCTE-224 Event Injector. These tools allow you to create JSON metadata that signals the start and end of ad breaks in your live stream.

3. XML: Like JSON, SCTE-224 also supports XML metadata for signaling ad breaks in live streams. You can use XML tags to specify the start and end of ad breaks and other metadata. For example:

“`xml
<ADI>
<Asset>
<Metadata>
<SCTE35>
<SpliceInfoSection>
<SpliceInsert>
<SpliceEvent>
<SpliceEventId>12345</SpliceEventId>
<SpliceOutOfNetworkIndicator>false</SpliceOutOfNetworkIndicator>
<SpliceImmediateFlag>true</SpliceImmediateFlag>
<BreakDuration>30000</BreakDuration>
</SpliceEvent>
</SpliceInsert>
</SpliceInfoSection>
</SCTE35>
</Metadata>
</Asset>
</ADI>
“`

In this example, an SCTE-35 splice event is specified using XML tags within an Asset Description and Metadata Interface (ADI) file.

4. Python: You can also use Python scripts to generate SCTE-35 messages for DAI. For example, the SCTE-35 Python library allows you to create SCTE-35 messages using Python code. Here’s an example Python script that creates an SCTE-35 message:

“`python
from scte35 import SpliceInfoSection, SpliceInsert

splice_event = SpliceInsert(
splice_event_id=12345,
out_of_network=False,
immediate=True,
break_duration=30
)

splice_info_section = SpliceInfoSection(
splice_insert=splice_event
)

scte35_message = splice_info_section.to_bytes()
“`

This script creates a splice event with ID 12345, a break duration of 30 seconds, and other parameters, and then generates an SCTE-35 message using the scte35 library.

5. JavaScript: If you’re working with web-based live streaming technologies like HLS or DASH, you can use JavaScript to manipulate the manifest files and insert SCTE markers. For example, you could use JavaScript to modify the EXT-X-CUE-OUT and EXT-X-CUE-IN tags in an HLS manifest file to indicate ad breaks.

6. Ruby: Ruby is another scripting language that can be used to generate SCTE-35 messages for DAI. The SCTE35 gem is a Ruby library that allows you to create and parse SCTE-35 messages. Here’s an example Ruby script that creates an SCTE-35 message:

“`ruby
require ‘scte35’

splice_event = SCTE35::SpliceInsert.new(
splice_event_id: 12345,
out_of_network: false,
immediate: true,
break_duration: 30
)

splice_info_section = SCTE35::SpliceInfoSection.new(
splice_insert: splice_event
)

scte35_message = splice_info_section.to_binary_s
“`

This script creates a splice event using the SCTE35 gem, sets its parameters, and generates an SCTE-35 binary message.

Overall, the choice of scripting language and tool depends on the specific requirements of your live streaming setup. These examples show some common options for creating SCTE markers for DAI in live streaming.

101, Best Practices, Coding, Content Delivery Networks, Digital Platforms, HLS Streaming, Project & Production Management, Streaming, Technology

101: What is ESAM Scripting for YouTube & SCTE DAI?

First, what is SCTE? (pronounced scut-e). The Society of Cable Telecommunications Engineers (SCTE) is a professional association that offers education, certification, and standards for the telecommunications industry. SCTE serves as a technical and applied science leader, providing training and certification programs in broadband, cable networks, and digital video. It has a diverse membership of professionals, including engineers and technicians, who work in the cable and telecommunications industries.

Next, what is ESAM? ESAM stands for Event Signaling and Management. It is a protocol used in cable networks to provide advanced notification and management of network events. ESAM allows for the delivery of messages that can be used to signal events such as program start and end times, emergency alerts, and other network events. It is an important component of the CableLabs Enhanced Content Specification, which is a set of technical specifications used in digital TV networks. ESAM is designed to enhance the functionality and interoperability of networks, improving the viewing experience for subscribers.

ESAM scripting for SCTE:

1. Identify the video content that needs to be marked up with SCTE markers. These could be ad breaks, chapter markers, or other significant events in the video.

2. Use an ESAM editor tool to create the ESAM script. There are several tools available, such as ESAM Creator and ESAM Builder. These tools allow you to create, edit, and validate the ESAM script.

3. Define the SCTE markers in the ESAM script. Each marker should include the timecode, duration, and type of event. For example, an ad break marker could be defined as a “cue-in” event with a duration of 30 seconds.

4. Validate the ESAM script to ensure that it is compliant with the SCTE specification. Use the ESAM editor tool to run the validation process and check for any errors or warnings.

5. Save the ESAM script and upload it to your YouTube account. You can do this by selecting the video content in your YouTube Studio dashboard, navigating to the “Advanced” tab, and uploading the ESAM script in the “Content ID” section.

6. Review the video content to ensure that the SCTE markers are working correctly. You can use the YouTube player to test the markers and make any necessary adjustments to the ESAM script.

By following these steps, you can create an ESAM script for YouTube SCTE that will help you manage and monetize your video content more effectively.

An ESAM script is an XML-based file that contains information about events or markers that occur in video content. These markers can be used for a variety of purposes, such as indicating ad breaks, chapter markers, or other significant events in the video.

Here is an example of an ESAM script for a dynamic commercial SCTE marker in XML format:

“`xml
<?xml version=”1.0″ encoding=”UTF-8″?>
<ESAM xmlns=”urn:ietf:params:xml:ns:esam:1.0″>
<EventSignal Time=”00:05:00.000″ Duration=”00:00:30.000″ Type=”Commercial”>
<Metadata>
<MetadataItem Name=”AdType”>Dynamic</MetadataItem>
<MetadataItem Name=”AdID”>1234</MetadataItem>
<MetadataItem Name=”AdTitle”>Example Ad</MetadataItem>
<MetadataItem Name=”Advertiser”>Acme Corp</MetadataItem>
</Metadata>
</EventSignal>
</ESAM>
“`

In this example, the ESAM script includes a “Commercial” event signal that occurs at the 5-minute mark of the video and lasts for 30 seconds. The metadata associated with the event signal includes information about the ad type, ID, title, and advertiser.

By using ESAM scripts like this one, video content creators and distributors can manage and monetize their content more effectively, while providing a better experience for viewers.

More scripting tomorrow…. stay tuned!

101, AI, Best Practices, Career, Coding, Collaboration, Digital Platforms, Mentoring, Moving Forward, Project & Production Management, publishing, Quality Control, SQL, Success, Teamwork, Technology

Quick Overview: Checksum / How it’s Utilized & How to Use Them

A checksum is a value that is computed from a block of data using a specific algorithm. The purpose of a checksum is to provide a way to verify the integrity of the data. When a sender transmits data, it can compute a checksum and include it with the data. The receiver can then compute a checksum on the received data and compare it to the transmitted checksum. If the two values match, it is likely that the data was transmitted without errors.

Checksums are used in a variety of applications, including network protocols, file transfers, and software updates. They are particularly useful in situations where data corruption or errors are likely to occur, such as over unreliable network connections.

In network protocols, checksums are often used to detect errors in data packets. For example, the Mo of each IP packet. If the checksum indicates that the packet is corrupted, it can be discarded and a new packet can be requested.

In file transfers, checksums are used to verify that the file was transferred correctly. After a file is transferred, the sender can compute a checksum on the file and include it with the file. The recipient can then compute a checksum on the received file and compare it to the sender’s checksum. If the two values match, it is likely that the file was transferred without errors.

In software updates, checksums are used to verify that the update was downloaded correctly. After a software update is downloaded, the user can compute a checksum on the downloaded file and compare it to the checksum provided by the software vendor. If the two values match, it is likely that the update was downloaded correctly.

Overall, checksums are an important tool for ensuring the integrity of data in a variety of applications.

In broadcasting, checksums are often used in conjunction with SCTE markers to ensure the integrity of the video and audio streams. For example, SCTE-35 markers are used to signal ad insertion points in a video stream. When an ad break is signaled, the receiver can use a checksum to verify the integrity of the video data before and after the ad break. If the checksum indicates that the video data has been corrupted, the receiver can request a retransmission of the video data.

Similarly, checksums can be used to verify the integrity of audio data in a broadcast stream. For example, if an audio stream includes a checksum value, the receiver can use the checksum to verify that the audio data has not been corrupted during transmission.

Overall, checksums are an important tool for broadcasters to ensure the quality and integrity of their broadcast streams. By using checksums in conjunction with SCTE markers, broadcasters can provide a more reliable and consistent viewing experience for their audiences.

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Quick Overview: API Calls-What Are They & What Is The Workflow?

API stands for Application Programming Interface. An API call is a request made by one software application to another application’s API in order to retrieve or manipulate data. APIs enable different software applications to communicate with each other, allowing developers to integrate different services and functionalities into their own applications.

API calls work by sending a request to the API, specifying the endpoint and any required parameters. The API processes the request and returns a response back to the calling application. The response can include data, metadata, or error messages, depending on the specific API.

APIs are used in a variety of applications, including web and mobile applications, IoT devices, and enterprise software. For example, social media platforms like Twitter and Facebook provide APIs that allow developers to access and manipulate user data, such as posts or tweets. E-commerce platforms like Shopify provide APIs that enable developers to build custom applications that interact with the platform’s inventory and customer data.

APIs are also used to integrate different software applications in enterprise settings. For example, an API can be used to connect a customer relationship management (CRM) system to a marketing automation platform, allowing marketing teams to access customer data and automate targeted campaigns.

Overall, APIs are a powerful tool for software developers, enabling them to build more complex and sophisticated applications by integrating different services and functionalities. Users can select GPT-3.5(ChatGPT) or GPT-4 to interact with me.

Building an API from scratch typically involves several steps. Here’s a general overview of the process:

1. Define the API endpoints: Determine the specific functionality and data that will be exposed through the API. This includes identifying the specific endpoints that will be used to access the data.

2. Choose a programming language: Select a programming language that is well-suited for building APIs, such as Python, Ruby, or Node.js.

3. Choose a web framework: Choose a web framework that supports building APIs, such as Flask, Django, or Express.

4. Design the API data model: Create a data model that defines the data that will be exchanged through the API, including the data types and relationships between different data entities.

5. Implement the API endpoints: Use the chosen web framework and programming language to implement the API endpoints, including handling request and response data.

6. Test the API: Use API testing tools to verify that the API endpoints are working as expected and returning the correct data.

7. Deploy the API: Deploy the API to a server or cloud hosting service so that it can be accessed by other applications.

8. Document the API: Create documentation that describes the API endpoints, parameters, and data structures so that other developers can use the API.

Overall, building an API from scratch can be a complex process that requires a solid understanding of programming, web frameworks, and data modeling. However, there are many resources available online that can help guide you through the process. Users can even utilize AI, ChatGPT 3.5/4 to assist the process.

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Smartsheets: Why You Need to Start Using them Now!

Smartsheet is a cloud-based project management and collaboration tool that enables teams to work together more efficiently. It provides a flexible and customizable platform for managing projects, tracking progress, and communicating with team members. Some of the features and benefits of Smartsheet include:

1. Customizable templates – Smartsheet offers a range of pre-built templates for different types of projects, including marketing campaigns, event planning, and project management. These templates can be customized to meet the specific needs of your team.

2. Collaboration tools – Smartsheet enables team members to collaborate in real-time on projects, share files, and communicate with one another. It also supports commenting and discussion threads, making it easy to keep track of conversations and feedback.

3. Automated workflows – Smartsheet offers automated workflows for repetitive tasks, such as sending notifications or requesting approvals. This can help streamline processes and save time.

4. Gantt charts – Smartsheet offers customizable Gantt charts for visualizing project timelines and dependencies. This can help teams stay on track and ensure that deadlines are met.

5. Resource management – Smartsheet offers tools for managing resources, such as team members, equipment, and materials. This can help teams allocate resources more effectively and avoid overbooking.

6. Mobile app – Smartsheet offers a mobile app for iOS and Android devices, enabling team members to access and update projects on the go.

To use Smartsheet, you can start by creating a new sheet or using one of the pre-built templates. You can then add columns and rows to organize your data and tasks. Smartsheet supports a range of data types, including text, dates, and attachments. You can also add formulas and conditional formatting to automate calculations and highlight important information.

Once you have set up your sheet, you can invite team members to collaborate and assign tasks. Smartsheet offers tools for tracking progress, such as percent complete and status indicators. You can also set up automated workflows for notifications and approvals.

You can program smart sheets with AI using various programming languages and frameworks such as Python and TensorFlow. There are also various software platforms and tools available that allow you to create AI-powered smart sheets without any coding, such as SmartSheet, SheetIQ, and Sheetgo. These platforms use AI and machine learning algorithms to automate data entry, analysis, and reporting, making it easier for you to manage and manipulate data in your spreadsheets.

Smartsheet provides a flexible and customizable platform for managing projects and collaborating with team members. Its range of features and tools can help teams stay organized, streamline processes, and improve communication

SmartSheet, SheetIQ, and Sheetgo, their features, specs, and how you can use them for notifications in redundant workflows:

1. SmartSheet: SmartSheet is a web-based project management and collaboration tool that allows you to create, manage, and automate workflows using a drag-and-drop interface. Some of its key features include:

– Customizable templates for various project types

– Real-time collaboration and commenting

– Automated workflows using conditional logic and notifications

– Integration with other tools such as Microsoft Office, Google Drive, and Salesforce

– Reporting and analytics

• SmartSheet can generate automated notifications for redundant workflows using its conditional logic and notification features. For example, you can set up a notification to be sent to a team member when a task is due or when a project status changes. SmartSheet also has a mobile app that allows you to receive notifications on-the-go.

• SmartSheet uses machine learning algorithms to automate data entry and analysis. For example, it can recognize patterns in data and make predictions based on historical trends. It can also use natural language processing to extract information from unstructured text and automatically populate fields in a spreadsheet.

• To set up SmartSheet’s automation features, you can use its drag-and-drop interface to create workflows that include conditional logic and notifications. For example, you can set up a workflow that automatically sends an email notification to a team member when a certain condition is met, such as a task being completed or a deadline approaching.

2. SheetIQ: SheetIQ is an AI-powered add-on for Google Sheets that allows you to automate data entry, analysis, and reporting using natural language commands. Some of its key features include:

– Natural language processing for data entry and analysis

– Automated reporting and charts

– Integration with other Google Sheets add-ons and tools

• SheetIQ can generate automated notifications for redundant workflows using its natural language processing and automation features. For example, you can set up a notification to be sent to a team member when a certain condition is met, such as a drop in sales or an increase in customer complaints.

• SheetIQ uses natural language processing and machine learning algorithms to automate data entry and analysis. For example, it can understand natural language commands and use them to automatically populate fields in a spreadsheet. It can also generate charts and reports based on the data in a spreadsheet.

• To set up SheetIQ’s automation features, you can use its natural language interface to create commands and queries that automate data entry and analysis. For example, you can use the command “add 10% to sales” to automatically update a sales figure in a spreadsheet.

3. Sheetgo: Sheetgo is a web-based tool that allows you to connect and automate data flows between multiple spreadsheets and cloud applications. Some of its key features include:

– Automated data transfer and consolidation

– Data filtering and transformation

– Collaboration and commenting

– Integration with other cloud applications such as Google Drive, Microsoft Office, and Dropbox

• Sheetgo can generate automated notifications for redundant workflows using its data filtering and automation features. For example, you can set up a notification to be sent to a team member when a certain condition is met, such as a new row being added to a spreadsheet or a cell value changing.

• Sheetgo uses machine learning algorithms to automate data transfer and consolidation. For example, it can recognize patterns in data and automatically consolidate it from multiple spreadsheets into one. It can also use data filtering and transformation to clean and standardize data.

• To set up Sheetgo’s automation features, you can use its drag-and-drop interface to create connections between multiple spreadsheets and cloud applications. For example, you can set up a connection that automatically transfers data from a Google Sheet to a Microsoft Excel spreadsheet whenever a new row is added.

These platforms use AI and machine learning algorithms to automate data entry, analysis, and reporting by recognizing patterns in data, understanding natural language commands, and automatically transferring and consolidating data. They are setup and programmed using a combination of drag-and-drop interfaces, natural language processing, and machine learning algorithms.

Career, Coding, Employment, Mentoring, Technology

Short XML Overview

XML (Extensible Markup Language) has several benefits, including:

1. Platform and Application Independence: XML can be used across different platforms and applications as it doesn’t rely on any specific software or hardware.

2. Human-Readable: XML documents are easily readable and can be interpreted by users and software applications alike.

3. Easy to Understand: XML has a simple syntax, which makes it easy to understand and work with.

4. Flexibility: XML is flexible and can be customized to fit different use cases making it a suitable choice for various purposes.

5. Data Exchange: XML can be used for data exchange between different systems, such as information transfer between a website and a database.

6. Transformable: XML documents can be easily transformed through the use of XSLT (Extensible Stylesheet Language Transformations), which allows for the creation of a variety of outputs from a single input.

7. Standardization: XML is a standardized format, which means it is widely supported and has a range of tools, libraries, and frameworks available to work with it.

Overall, the benefits of XML make it a popular choice for data representation and exchange in various domains like publishing, e-commerce, healthcare, finance, and government applications.

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Tips: Up your game, Angular, MS DevOps, SW Dev w/.NET

Angular, MS Dev Ops, and software development with .NET, you can follow these steps:

1. Understand the technology: The first step is to understand what each of these technologies is and what they are used for. Angular is a popular front-end framework for building web applications, while Microsoft DevOps is a suite of tools and services for continuous integration and deployment (CI/CD) of software. .NET is a widely-used framework for building scalable, reliable, and robust software applications.

2. If you are not sure, try to be more specific and clarify.

3. Identify the key points: Determine the key point(s). This will help you focus your solution and provide a clear, concise response.

4. Provide a relevant information: Once you understand the problem to solve, and its key points, provide a relevant and accurate solution. You may want to draw on your own experience or research to support your findings.

5. Be clear and concise: Make sure your solution presentation is clear and concise, using plain language instead of technical jargon. Avoid going off on tangents or providing irrelevant information.

6. Check for understanding: Once you’ve provided your response, make sure the client asking fit the information understands your response. Encourage them to ask follow-up questions if they need further clarification.

Angular is a front-end web application framework developed by Google. It is designed to make building complex and dynamic web applications easier and more efficient. Here is a brief overview of how Angular works and how to implement it:

1. Component-based architecture: Angular works on a component-based architecture in which each application is divided into small, reusable components. Each component has its own logic, template, and styling and they communicate with each other via input/output.

2. TypeScript: Angular is built on top of TypeScript, which is a superset of JavaScript that adds static types, classes, and interfaces. This makes Angular code more structured and easier to maintain.

3. Reactive programming: Angular uses reactive programming, which is a programming model that enables the creation of asynchronous and event-driven applications. In Angular, reactive programming is achieved through the use of RxJS, which is a library for reactive programming in JavaScript.

4. Dependency injection: Angular provides dependency injection, which is a design pattern that helps manage the dependencies of different components in an application. Dependency injection makes it easier to write modular, testable code.

To implement Angular, follow these steps:

1. Install Node.js: Angular requires Node.js to be installed on your system.

2. Install the Angular CLI: The Angular CLI is a command-line interface for creating, building, and testing Angular applications. You can install it using the following command: `npm install -g @angular/cli`

3. Create a new Angular project: Use the command `ng new <project-name>` to create a new Angular project.

4. Create a new component: Components are the building blocks of an Angular application. You can create a new component using the command `ng generate component <component-name>`.

5. Add routing and navigation: Angular provides a powerful routing and navigation system that allows you to handle navigation between different components. You can add routing and navigation by modifying the `app-routing.module.ts` file.

6. Build and run the application: Use the command `ng serve` to build and run the application on a local development server.

This is just a brief overview of how to implement Angular. To fully master Angular, you should learn about its different features and modules, such as services, directives, pipes, and forms.

Microsoft DevOps is a suite of tools and services for continuous integration and continuous deployment (CI/CD) of software. It includes the following components:

1. Azure DevOps Services: a cloud-based platform for managing the entire DevOps lifecycle.

2. Azure DevOps Server: an on-premises version of Azure DevOps Services.

3. Azure Artifacts: a software package management system.

4. Azure Test Plans: a testing service for web and desktop applications.

5. Azure Boards: a project management service.

CI/CD is a software development methodology that aims to deliver code changes more frequently and reliably. Continuous Integration (CI) is the practice of automating the build and testing of code changes. Continuous Deployment (CD) is the practice of automatically deploying code changes to production.

CI/CD pipelines are used to implement CI/CD. They automate the build, test, and deployment processes to ensure that changes are thoroughly tested and validated before they are released. The pipeline consists of several stages, including build, test, and deployment, with each stage being automated and executed in a predefined order.

To implement CI/CD, you need to:

1. Set up a source code repository, such as Git.

2. Define a pipeline that automates the build, test, and deployment stages.

3. Configure the pipeline to trigger automatically when changes are made to the code repository.

4. Configure the pipeline to deploy changes to a test environment for validation.

5. Configure the pipeline to deploy changes to production once they have been validated.

6. Monitor the pipeline to ensure that it is running smoothly, and troubleshoot any issues that may arise.

Overall, CI/CD helps software teams to build, test, and deploy code changes faster and with greater reliability, while also reducing costs and improving quality.

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Broadcasting Info: SQL Data storage, Queries, and Key Differences

An SQL (Structured Query Language) query is a command used to retrieve or manipulate data from a relational database management system (RDBMS) such as MySQL, Oracle, or Microsoft SQL Server. It allows users to access and modify data stored in a database by specifying specific criteria and commands in a structured manner. SQL queries can be used for tasks such as creating, modifying or deleting tables, inserting, updating, or deleting records, selecting data based on certain conditions, and manipulating data in various ways to generate reports.

There are some key differences between these RDBMS:

1. Ownership: MySQL is owned by Oracle Corporation while Oracle and Microsoft SQL Server are owned by their respective companies.

2. Platform support: MySQL runs on multiple platforms such as Windows, macOS, Linux, and UNIX. Oracle also supports all major platforms while Microsoft SQL Server is primarily designed to run on Windows OS.

3. Price: MySQL is open-source and free to use while Oracle and Microsoft SQL Server are licensed, commercial products with varying pricing models.

4. SQL dialect: While all three RDBMS use SQL, there may be some differences in SQL dialect and syntax.

5. Scalability: MySQL and Oracle are highly scalable and can handle large amounts of data, while Microsoft SQL Server has some limitations in this aspect.

6. Security: All three databases have robust security features but have different approaches to authentication, authorization, and encryption.

7. Availability of tools and applications: There are many tools and third-party applications available for all three databases, but there may be some differences in terms of available options and integrations.

Writing an SQL Query

To write an SQL query, follow these general steps:

1. Determine which database and table(s) you want to access.

2. Decide which data you want to retrieve or manipulate.

3. Choose the appropriate SQL statement for the task you want to perform (SELECT, INSERT, UPDATE, DELETE, etc.).

4. Write a statement that declares the column(s) you want to query, using keywords like SELECT or FROM.

5. Add any necessary qualifiers, such as WHERE clauses or JOINs, to filter or combine data based on certain conditions.

6. Run the query to see the results.

For example, a basic SELECT statement that retrieves all data from a table might look like this:

“`SQL

SELECT * FROM table_name;

“`

This statement tells the database to retrieve all columns and all rows from the specified table. More complex queries might involve aggregating data, joining multiple tables, or using subqueries to filter data based on more specific criteria.

Writing an SQL Subquery

Below is an example of a subquery that filters data based on specific criteria:

“`SQL

SELECT * FROM orders

WHERE customer_id IN (

  SELECT customer_id

  FROM customers

  WHERE region = ‘West’

);

“`

This query retrieves all rows from the “orders” table where the “customer_id” matches any customer_ids returned by the subquery. The subquery itself retrieves all customer_ids from the “customers” table where the “region” column is equal to ‘West’. By nesting the subquery within the WHERE clause of the outer query, we can filter the results to include only orders associated with customers in the West region.

I hope this clears up any questions about SQL.  Please reach out with questions or comments.

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Broadcast Standards: Agile Methodologies & the Stakeholders They Effect

 Agile methodologies are a set of practices that help teams to be more flexible and responsive to change. They emphasize the importance of frequent communication, collaboration, and continuous delivery of working software. 

Agile methodologies include, but are not limited to:

1. Scrum: Scrum is an Agile methodology that focuses on delivering a potentially releasable product increment at the end of each iteration. It is based on an empirical process framework with predefined roles, ceremonies, and artifacts.

2. Kanban: Kanban is an Agile methodology that emphasizes flow efficiency and not delivery speed. It is based on a visual management system that helps team members visualize work items, track progress, and reduce waste.

3. Lean: Lean is an Agile methodology that emphasizes delivering customer value with the minimum possible waste. It is based on the concepts of eliminating waste, continuous improvement, and creating pull-based systems.

4. Extreme Programming (XP): XP is an Agile methodology that emphasizes software engineering best practices to enable teams to deliver high-quality software. It is based on the practices of test-driven development, pair programming, continuous integration, and frequent releases.

5. Crystal: Crystal is an Agile methodology that is based on the philosophy of adapting to the needs of the project at hand. It is designed to be lightweight and flexible, and focuses on communication and collaboration between team members.

6. Dynamic Systems Development Method (DSDM): DSDM is an Agile methodology that is based on a project framework that emphasizes collaboration, iterative development, and continual business involvement.

7. Feature-Driven Development (FDD): FDD is an Agile methodology that focuses on delivering tangible, working software features. It is based on five iterative and incremental processes, which include developing an overall model, building a feature list, planning by feature, designing by feature, and building by feature.

8. Adaptive Software Development (ASD): ASD is an Agile methodology that focuses on continuous refinement, cooperation, and communication between the development team and the stakeholders. It is based on the principles of collaboration, self-organization, and rapid adaptation.

9. Rapid Application Development (RAD): RAD is an Agile methodology that emphasizes speedy development and prototyping. It is based on the principles of iterative development, continuous user involvement, and rapid feedback.

10. Agile Unified Process (AUP): AUP is an Agile methodology that is based on the principles of simplicity, agility, and adaptability. It is a hybrid methodology that combines the principles of Agile development with best practices from the Unified Process.

11. Agile Modelling (AM): AM is an Agile methodology that emphasizes collaboration and communication between developers, stakeholders, and users. It is based on the principles of iterative development, frequent feedback, and frequent releases.

12. Scrumban: Scrumban is a hybrid Agile methodology that combines the principles of Scrum and Kanban. It is designed to help teams transition from Scrum to Kanban, or to combine the best practices of both methodologies. It is based on visualizing work, limiting work in progress, and continuously improving the process.

• Different methodologies can be used for different teams in the same company.

The goal of Agile is to help teams deliver high-quality software that meets the customer’s needs, while at the same time adapting to changing requirements and priorities. Agile methodologies promote a culture of continuous improvement, where teams strive to deliver better software with each iteration.

Agile processes in broadcast television refer to the application of Agile methodologies in the production and delivery of TV shows and programs. 

These processes involve breaking down the production process into smaller, more manageable tasks called “sprints,” each of which is completed within a set period of time. 

During these sprints, cross-functional teams of writers, producers, editors, and others collaborate closely to create and refine content, incorporating feedback from stakeholders and viewers along the way. 

This approach emphasizes flexibility and adaptability, allowing teams to make adjustments as needed throughout the production process. It also helps to prioritize the most important features or elements in a show, ensuring that they are delivered on time and within budget. 

Overall, Agile processes can help broadcast television teams work more efficiently and effectively, producing high-quality content that meets the needs of viewers and stakeholders alike.

Who are the stakeholders?

The stakeholders in broadcasting can vary depending on the type of broadcasting organization and its business model. However, in general, the following groups are typically considered stakeholders in broadcasting:

1. Audience: The people who use and consume broadcast content, including TV and radio viewers and listeners, website and app users, and social media followers.

2. Advertisers and sponsors: Companies and organizations that pay to advertise or sponsor content on broadcast media.

3. Government regulators: Organizations that regulate broadcasting operations and programming content, such as the Federal Communications Commission (FCC) in the United States and Ofcom in the United Kingdom.

4. Shareholders and investors: Individuals or organizations that own a stake in the broadcasting company, including stockholders and venture capitalists.

5. Employees and talent: Those who work for the broadcasting company, including executives, producers, directors, writers, actors, and technicians.

6. Independent producers and studios: Production companies or studios that sell content to the broadcasting company.

7. Industry partners: Partners and suppliers who contribute to the creation and distribution of broadcast content, including equipment manufacturers, technology companies, and distributors.

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