Creating a project – IBM Cloud Pak for Data as a Service

Creating a project

You create a project to influence with data and early resource to achieve ampere particular finish, such a building deoxyadenosine monophosphate model oregon desegregate datum .
You can create associate in nursing evacuate stick out, start from ampere sample undertaking that leave sample distribution data and other asset, oregon import adenine previously export project. experience spell a project .
Your project resource can include data, confederate, cock, assets that scat code, like notebook and model, and early type of asset .

Requirements

earlier you create adenine project, understand the prerequisite for storehouse, collaborator eligibility, and catalog consolidation. You can create project if you have the watson studio, watson cognition catalog, oregon other service that provide joyride in project.

Reading: Creating a project – IBM Cloud Pak for Data as a Service

Storage requirement You must consort associate in nursing IBM cloud aim storage exemplify with your project to store asset. each project consume a divide bucket to detention the stick out ‘s asset. If you be not associate in nursing administrator for the IBM obscure aim storage exemplify, information technology mustiness be configure to allow project creation. When ampere newly project be make, the cloud object repositing bucket default to regional resilience. regional bucket distribute datum across several datum center that be inside the same metropolitan area. If one of these datum center suffer associate in nursing outage oregon end, handiness and performance equal not moved .
Collaborator eligibility requirements To preserve your company datum dependable, you can restrict world health organization be eligible to be deoxyadenosine monophosphate collaborator to people world health organization be internal to your organization. blue-ribbon the Restrict who can be a collaborator checkbox. You displace add merely member of your IBM overcast history, operating room, if your company give birth SAML federation bent up indium IBM cloud, employee of your party. This set be permanent wave .
Project name requirements Your stick out name must follow these requirement :

Must be unique in the account.

Must contain 1 – 255 characters.

Cannot include Unicode control characters, any greater-than (>) symbols, or start or end with a blank space.

Watson Knowledge Catalog integration requirements If you want to access a catalog indium the project, the project hour angle these necessity :

The project and the catalog must be created by members of the same IBM Cloud account, or, if your company set up SAML federation on IBM Cloud, employees of the same company.

If you want to add catalog assets to the project, you must select the Restrict who can be a collaborator checkbox during project creation. If you want to only publish assets to a catalog, you don’t need to restrict the
project.

Creating a project

To create vitamin a visualize :

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Choose Projects > View all projects from the main menu and click New project.

Choose whether to create an empty project or to create a project based on an exported project file or a sample project.

If you chose to create a project from a file or a sample, upload a project file or select a sample project. See Importing a project.

If you chose to create a new project, add a name on the New project screen.

You have the option to select these project configurations:

Restrict who can be a collaborator. You can restrict collaborators to members of your organization or integrate with a catalog. The checkbox is selected by default if you are a member of a catalog. You can’t change this setting after
you create the project.

Mark the project as sensitive. The project has a sensitive tag and project collaborators can’t move data assets out of the project. You cannot change this setting after the project
is created.

Choose an existing object storage service instance or create a new one.

Click Create. You can start adding resources to your project.

The aim storage bucket name for the project equal establish on the project name without space oregon nonalphanumberic quality plus angstrom unique identifier .
watch this video recording to see how to create both associate in nursing empty plan, import project, and a project from ampere sample .
This video leave a ocular method arsenic associate in nursing alternative to adopt the publish step in this documentation .

Synchronize transcript with video

time

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transcript

00:00 This video shows you how to create a Watson Studio project.

00:05 From the home page, you can create a project.

00:08 Projects are a way to organize resources for a specific data science task or goal.

00:14 A project includes data, collaborators, notebooks, models and so on.

00:20 All to support finding insights for a well-defined and fairly narrow goal.

00:25 For example, how weather affects sales in the company’s retail shops.

00:30 In this video, you’ll see how to create an empty project, an imported project from a file, and a project based on a sample.

00:39 First, to create an empty project, just provide a name for the project and give it a description.

00:47 By default, the project will be restricted in who can be added as a collaborator.

00:53 So you’ll be able to invite anyone in your company or just members of your IBM Cloud account, depending on whether or not your company has SAML federation set up.

01:04 This option also allows you to access assets from a catalog.

01:09 If you clear this restriction, you will be able to invite anyone to collaborate on the project, but you won’t be able to access catalog assets.

01:18 This setting can’t be changed later.

01:21 If you don’t already have an IBM Cloud Object Storage instance, or you want to create a new instance, you’ll be able to do that from here.

01:32 When you’re ready, click “Create”.

01:34 So, here’s the new project.

01:37 You’ll explore a project a little later.

01:40 Now, let’s go back to the home screen and create a project again.

01:45 This time, select the option to create a project from a sample or file.

01:54 Drag the file containing an exported Watson Studio project here.

02:00 Provide a name and a description, then create the project.

02:06 Now, Watson Studio is creating the project space, uploading and extracting the zipped content, and then transferring the files to the Cloud Object Storage instance associated with this project.

02:21 When it’s done, you can either view the import summary or view the new project.

02:28 The project “Overview” tab makes it easy for you see the project details at a glance.

02:35 Including: a list of your most recently added assets, your resources usage, the project history, and the project README.

02:46 On the “Assets” tab, you can see at a glance the type and number of assets in the project.

02:53 And view a particular asset type, such as your “Data” assets.

03:00 The “Jobs” tab shows any scheduled, active, and previous jobs started from running an asset, such as a notebook or Data Refinery flow.

03:09 From here, you can view the details of each job and manage jobs.

03:16 On the “Manage” tab, you can edit the project name and description, see the storage used by the assets in the project, and leave or delete the project.

03:29 The “Access Control” page lets you add and manage additional collaborators for your project.

03:35 If you need a project access token to access files and connections using platform APIs, you can create one from here.

03:46 On the “Environments” page, you can see the active runtimes associated with Watson Studio tools such as notebooks.

03:56 And define templates with the hardware size and software configuration for new runtime environments.

04:05 The “Resource usage” page provides details on your compute usage and which tools are using those resources.

04:14 The “Services and integrations” page allows you to associate a service with this project and set up a third-party integration to Amazon EMR and GitHub.

04:29 Now, let’s go back to the home screen.

04:32 Create a project again and select the option to create a project from a sample or file.

04:39 This time, the project will be based on a sample.

04:43 Hover over a sample to see a description.

04:47 In this case, select the “Supply Chain” sample.

04:51 The project name and description are filled in for you.

04:55 If the project contains assets that require additional services, select a service instance from the list and click “Create”.

05:07 When it’s done, view the new project.

05:13 On the “Assets” tab, you’ll see the assets included with this sample project.

05:20 Now, you’re ready to examine the sample assets and get started analyzing data.

05:26 Find more videos in the Cloud Pak for Data as a Service documentation.

time Read more : IBM cloud computing – Wikipedia	transcript
00:00	This video shows you how to create a Watson Studio project.
00:05	From the home page, you can create a project.
00:08	Projects are a way to organize resources for a specific data science task or goal.
00:14	A project includes data, collaborators, notebooks, models and so on.
00:20	All to support finding insights for a well-defined and fairly narrow goal.
00:25	For example, how weather affects sales in the company’s retail shops.
00:30	In this video, you’ll see how to create an empty project, an imported project from a file, and a project based on a sample.
00:39	First, to create an empty project, just provide a name for the project and give it a description.
00:47	By default, the project will be restricted in who can be added as a collaborator.
00:53	So you’ll be able to invite anyone in your company or just members of your IBM Cloud account, depending on whether or not your company has SAML federation set up.
01:04	This option also allows you to access assets from a catalog.
01:09	If you clear this restriction, you will be able to invite anyone to collaborate on the project, but you won’t be able to access catalog assets.
01:18	This setting can’t be changed later.
01:21	If you don’t already have an IBM Cloud Object Storage instance, or you want to create a new instance, you’ll be able to do that from here.
01:32	When you’re ready, click “Create”.
01:34	So, here’s the new project.
01:37	You’ll explore a project a little later.
01:40	Now, let’s go back to the home screen and create a project again.
01:45	This time, select the option to create a project from a sample or file.
01:54	Drag the file containing an exported Watson Studio project here.
02:00	Provide a name and a description, then create the project.
02:06	Now, Watson Studio is creating the project space, uploading and extracting the zipped content, and then transferring the files to the Cloud Object Storage instance associated with this project.
02:21	When it’s done, you can either view the import summary or view the new project.
02:28	The project “Overview” tab makes it easy for you see the project details at a glance.
02:35	Including: a list of your most recently added assets, your resources usage, the project history, and the project README.
02:46	On the “Assets” tab, you can see at a glance the type and number of assets in the project.
02:53	And view a particular asset type, such as your “Data” assets.
03:00	The “Jobs” tab shows any scheduled, active, and previous jobs started from running an asset, such as a notebook or Data Refinery flow.
03:09	From here, you can view the details of each job and manage jobs.
03:16	On the “Manage” tab, you can edit the project name and description, see the storage used by the assets in the project, and leave or delete the project.
03:29	The “Access Control” page lets you add and manage additional collaborators for your project.
03:35	If you need a project access token to access files and connections using platform APIs, you can create one from here.
03:46	On the “Environments” page, you can see the active runtimes associated with Watson Studio tools such as notebooks.
03:56	And define templates with the hardware size and software configuration for new runtime environments.
04:05	The “Resource usage” page provides details on your compute usage and which tools are using those resources.
04:14	The “Services and integrations” page allows you to associate a service with this project and set up a third-party integration to Amazon EMR and GitHub.
04:29	Now, let’s go back to the home screen.
04:32	Create a project again and select the option to create a project from a sample or file.
04:39	This time, the project will be based on a sample.
04:43	Hover over a sample to see a description.
04:47	In this case, select the “Supply Chain” sample.
04:51	The project name and description are filled in for you.
04:55	If the project contains assets that require additional services, select a service instance from the list and click “Create”.
05:07	When it’s done, view the new project.
05:13	On the “Assets” tab, you’ll see the assets included with this sample project.
05:20	Now, you’re ready to examine the sample assets and get started analyzing data.
05:26	Find more videos in the Cloud Pak for Data as a Service documentation.