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When it comes to data collection, the best way to set your company up for success is to establish consistent naming conventions from day one. This will not only make it easier to read your code, but it will also mean that everyone your company can easily understand what your events mean.

Nội dung chính

    What are naming
    conventions? Benefits of naming conventionsThe object-action frameworkChoose your objectList how users can interact with themChoose the properties to collect with each objectBe specific about casingPut it all togetherOther optionsWhich one of these resource types can be moved across resource groups?Which of the following are ways to organize your account and resources in Azure?Which three of the following are features when deploying with Microsoft Azure resource manager?Which of the following files defines one or more resources to deploy to a resource group?

In this article, we’ll go over why you need a strong naming convention for analytics and how to implement our recommended approach, the object-action framework.

What are naming
conventions? 

Naming conventions in data analytics are rules devised by data analysts to clearly identify and categorize the completion of “events” with your product or service. Naming conventions are critical to ensuring the consistency and accessibility of your data.

Benefits of naming conventions

If you really want to make the most out of your data, you have to be thoughtful about how you name analytics events and where they live in your codebase. If you don’t, your
data management will get messy because different developers will implement tracking different times with different preferences, resulting in a hodgepodge of events that are hard to read and analyze.

You might not realize, but there are actually a bunch of different ways to name the same user interaction. Take, for example, the simple action of a user signing up for a newsletter. You could implement the sự kiện as “Sign up,” “Signup,” or “User Signed Up.”

Without a consistent naming convention, your teammates will be left guessing which sự kiện actually corresponds to a user signing up for your newsletter. This may not seem like a big giảm giá, but imagine how confusing this will become as your company grows over time.

To avoid getting into this situation and enable your company to actually use data, there are
two simple things you can do today:

    Align on a framework for naming your events and properties (down to the casting).

    Put a process in place to enforce your company’s framework

Getting these two things right will bring consistency, convenience, and clarity to your data and the decisions you make with it.

    Consistency: The biggest benefit of using a clear framework is data consistency. If all different data types and events are
    named the same way in each tool, it’s easier for you to use those tools. One framework. No questions.

    Convenience: You’re likely going to continue to add new tracking as your company ships new features and products. Having a standard naming convention means that each time a developer implements a new call, they won’t have to think about how to do it.

    Clarity: With engineering, product, analytics, and growth teams relying on the same data, enforcing
    standards means everyone can easily understand what each sự kiện means. This enables your teammates to run ad hoc analyses and launch experiments using data that is organized and easy to understand.

The object-action framework

If you only take away one thing from this lesson, remember that the most important thing to do is to pick a single naming framework and stick with it.

At Segment, we implement analytics using the object-action
framework. Our success team developed this convention after working with thousands of customers on their analytics setup.

The idea is simple. First, choose your objects (e.g., Product, Application, etc.). Then define actions your customers can perform on those objects (e.g., Viewed, Installed, etc.). When you put it all together, your sự kiện reads Product Viewed or Application Installed.

We like the object-action framework because it makes it easy to do the following:

    Analyze the performance of a particular feature: “I want to build a funnel to see how many people who view products also add them to their cart. Sweet!” The events related to products are all next to each other in alphabetical order.

    Quickly
    scan a list of events to find what you’re looking for: “Where are all of the product events? Nope, Nope. Got it.”

    Impose a standard any marketer, analyst, or developer can understand: “I’m guessing this sự kiện called Product Viewed is about folks viewing products.”

Now that you’ve got the basics, here’s a deep dive into how to use the object-action framework with some examples.

Choose your object

The first piece of the object-action framework is the
object. These objects are the key “pieces” of your app and website that your customers are interacting with. It’s probably easiest to understand what a business object looks like with a few examples.

List how users can interact with them

The next thing to figure out is how users can interact with those objects in your product. For
example, a user can view a product or book a khách sạn.

Choose the properties to collect with each object

We recommend tracking general events like Product Viewed along with properties that give you more details. With just the top-level sự kiện, you can analyze how often and how many people view your products. But you wouldn’t be able to see which
products and categories were the most popular.

When thinking about what properties to collect, you usually want to collect the same properties for the same object, no matter which action they are associated with.

For example, across events like Product Clicked, Product Viewed, and Product Shared, you’d want to collect a common set of properties related to products, for example: category, product_id, price, brand.

With these properties, you can easily figure out the most viewed and shared
products and categories.

Be specific about casing

When you’re documenting each of these events and the properties associated with them, you also want to be crystal clear about the casing. This might seem nitpicky, but it’s imperative in the long run.

Here are the five most common options:

    all lowercase — account created

    snake_case — account_created

    Proper Case — Account Created

    camelCase — accountCreated

    Sentence case — Account created

We like Proper Case for events and snake_case for properties.

Put it all together

Putting this all together, it’s really easy to construct your events.

Here is the naming template we adhere to:

And here is a sample sự kiện, Product Viewed:

Document these events in your
tracking plan and make sure to implement them in code with the same formatting.

In code, it would look something like this:

Other options

Of course the object-action framework isn’t the only way to do this. You can use any order of actions and objects, and any type of casing. You can also do present or past tense.

The only thing that really matters is that you keep it
consistent!

One other practice to avoid is dynamically creating new events with unique variables. You will never be able to make any sense of your funnels. Plus, your bills for your analytics tools will get out of control.

For example, sometimes we see people pass through the unique email with every sign up in the sự kiện name. You’re much better off keeping those as properties.

Don’t send sign up events as analytics.track(‘Sign Up – ‘);

Instead, send them as analytics.track(‘Sign Up’, email: ”);

Hopefully this deep
dive into the object-action framework gave you some inspiration for keeping your data squeaky clean. We can’t stress how much you will thank yourself down the road when all of your events adhere to the same naming convention.

Have a different way you like to name events? Let us know on !

Which one of these resource types can be moved across resource groups?

Which one of these resource types can be moved across resource groups? When can you move a virtual machine? You can move virtual machines, but you have to first make sure that you can move all of its dependent resources along with it.

Which of the following are ways to organize your account and resources in Azure?

To create a management group, subscription, or resource group, sign in to the Azure portal. To create a management group to help you manage multiple subscriptions, go to Management groups and select Create. To create a subscription to associate users with resources, go to Subscriptions and select Add.

Which three of the following are features when deploying with Microsoft Azure resource manager?

Azure Resource Manager is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure account. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment.

Which of the following files defines one or more resources to deploy to a resource group?

Resource Manager template—a file that defines how resources should be deployed to groups, subscriptions or tenants. This file is defined in JavaScript Object Notation (JSON).
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