Skypoint Documentation

Import data
Setup guide

Overview

You can make Azure Storage the foundation for building enterprise data lakes on Azure with the help of Azure Data Lake Storage Gen2. You can use SkyPoint AI’s built-in connector for importing data from Azure Data Lake Storage Gen2.This document will guide you through the process of connecting Azure Data Lake Storage Gen2 to Skypoint AI.

Prerequisite

You will need the following details to configure and import data using Azure Data Lake Storage Gen2 connector:

Storage account name
Account key details
Storage path.

Import data using Azure Data Lake Storage Gen2 connector

Follow the below steps to create a new dataflow for the Azure Data Lake Storage Gen2 import connector:

Go to Dataflow > Imports.
Click New dataflow.

The Set dataflow name page appears.

In the Set dataflow name page, type Dataflow name in the Name text area.
Click Next.

The Choose connector page appears.

Azure Data Lake Storage Gen2: Use this to import each CSV file as an entity.
Azure Data Lake Storage Gen2 v2: Use this to import multiple CSV files in a folder as a single entity.

To choose Azure Data Lake Storage Gen2 connector

In the Choose connector page, select Azure Data Lake Storage Gen2 connector.

You can use the Search feature to find the connector. Also, the Azure Data Lake Storage Gen2 connector is available under both Analytics and Cloud categories.

The Set dataflow name page appears.

Type a Display Name for your dataflow in the text area.
Type a Description for your dataflow in the text area.
Click Next.

The Configuration page appears.

To configure Azure Data Lake Storage Gen2

Follow the below steps to configure the connection to Azure Data Lake Storage Gen2:

Type the Storage account name in the text area.
Type the Account key in the text area.
Click the Folder icon in the Storage path text area.

Once you select your Storage path, the Table Details columns appear.

Upon selecting Azure Data Lake Storage Gen2 v2, Table Details appear as per the image below.

Enter the Table Details to process the data.

Item	Description
Purpose	Option to assign a purpose (Data or Metadata) for each table.
Data	Loads customer data.
Metadata	Loads Metadata.
File Name	Displays the name of the file that you imported.
Folder Name	Displays the name of the folder that are present in the selected folder. (Applicable only for Azure Data Lake Storage Gen2 v2)
Table Name	Displays the imported table name.
Datetime format	Displays a number of Datetime Formats and Skypoint AI is set to automatically detect them.
Delimiter	Displays available separators for the variables in the imported data.
First Row as Header	Check the box for the system to automatically collect the data according to the Header Contents.
Advanced Settings	Select the options to fine tune the Import process with minute details.

If necessary, apply the Advance settings to modify the default settings.

The Advanced settings pop-up appears.

Advanced settings allow you to modify the default settings. It gives more flexibility to apply advanced use cases. However, the default settings are adequate to perform the task.

If you want to	Then
Modify data types such as fixed or variable data types.	Select from the Compression type. It allows you to reduce the size of data by removing the number of bits.
Change the delimiter	Click Row delimiter. By default, a column delimiter is selected, and each row is separated with a comma.
Change information or instruction	Choose from the Encoding list. By default, UTF-8 encoding is selected.
Modify the escape character such as backslash (\) or slash (/)	Select from the Escape character.
Apply different quote characters such as Single quote (’) or Double quote (”).	Select from the Quote character.

Click Save.

Run, edit, and delete the imported data

Once you save the connector, the Azure Data Lake Storage Gen2 connector gets displayed in the list of tables created in the Dataflow page.

Item	Description
Name	Displays the name of the imported Dataflow.
Type	Displays connector type symbol.
Status	Indicates whether the data is imported successfully.
Tables Count	Displays the number of tables.
Created Date	Displays date of creation.
Last refresh type	Displays the refresh value. After the last data refresh, it will indicate whether the value is Full or Incremental.
Updated Date	Displays last modified date.
Last Refresh	Displays the latest refresh date, which updates each time you refresh the data.
Group by	Option to view the items in a specific Group (For example, name, type, status).

Select the horizontal ellipsis in the Actions column and do the following:

If you want to	Then
Modify the Dataflow	Select Edit and modify the Dataflow. Click Save to apply your changes.
Execute the Dataflow	Select Run.
Bring the data to its previous state	Select Rollback.
Delete the Dataflow	Select Remove and then click the Delete button. All tables in the data source get deleted.
See the run history of the Dataflow	Select Run history.

Next step

After completing the data import, start the Master Data Management (MDM) - Stitch process to develop a unified view of your customers.

Getting Started

Platform Foundation

Growth & Engagement

Revenue Cycle

Operations

Workforce

Analytics & Intelligence

Reference

Azure Data Lake Storage Gen2

Overview

Prerequisite

Import data using Azure Data Lake Storage Gen2 connector

To choose Azure Data Lake Storage Gen2 connector

To configure Azure Data Lake Storage Gen2

Run, edit, and delete the imported data

Overview

Prerequisite

To Create a Storage Account

Creating Storage account name

Finding the Account Key

Next step

​Overview

​Prerequisite

​Import data using Azure Data Lake Storage Gen2 connector

​To choose Azure Data Lake Storage Gen2 connector

​To configure Azure Data Lake Storage Gen2

​Run, edit, and delete the imported data

​Overview

​Prerequisite

​To Create a Storage Account

​Creating Storage account name

​Finding the Account Key

​Next step

Overview

Prerequisite

Import data using Azure Data Lake Storage Gen2 connector

To choose Azure Data Lake Storage Gen2 connector

To configure Azure Data Lake Storage Gen2

Run, edit, and delete the imported data

Overview

Prerequisite

To Create a Storage Account

Creating Storage account name

Finding the Account Key

Next step