- About Hevo
- Hevo Features
- Hevo System Architecture
- Core Concepts
- Free Trials
- Regulatory Compliance
- Hevo Support
- General FAQs
- Getting Started
- Creating an Account in Hevo
- Connection Options
- Familiarizing with the UI
- Creating your First Pipeline
- Data Loss Prevention and Recovery
- Data Ingestion
- Types of Data Synchronization
- Ingestion Modes and Query Modes for Database Sources
- Ingestion and Loading Frequency
- Ingestion Frequency and Data Synchronization
- Data Ingestion Statuses
- Deferred Data Ingestion
- Handling of Primary Keys
- Handling of Updates
- Handling of Deletes
- Hevo-generated Metadata
- Data Loading
- Loading Data in a Database Destination
- Loading Data to a Data Warehouse
- Optimizing Data Loading for a Destination Warehouse
- Manually Triggering the Loading of Events
- Scheduling Data Load for a Destination
- Loading Events in Batches
- Data Loading Statuses
- Data Spike Alerts
- Name Sanitization
- Table and Column Name Compression
- Parsing Nested JSON Fields in Events
- Data Flow in a Pipeline
- Familiarizing with the Pipelines UI
Working with Pipelines
- Best Practices for Creating Database Pipelines
- Creating a Pipeline
- Connectivity Check for RDBMS Sources
- Scheduling a Pipeline
- Modifying a Pipeline
- Prioritizing a Pipeline
- Viewing Pipeline Progress
- Pausing and Deleting a Pipeline
- Log-based Pipelines
- Troubleshooting Data Replication Errors
- Managing Objects in Pipelines
Python Code-Based Transformations
- Supported Python Modules and Functions
Transformation Methods in the Event Class
- Create an Event
- Retrieve the Event Name
- Rename an Event
- Retrieve the Properties of an Event
- Modify the Properties for an Event
- Fetch the Primary Keys of an Event
- Modify the Primary Keys of an Event
- Fetch the Data Type of a Field
- Check if the Field is a String
- Check if the Field is a Number
- Check if the Field is Boolean
- Check if the Field is a Date
- Check if the Field is a Time Value
- Check if the Field is a Timestamp
- Convert date string to required format
- Convert date to required format
- Convert datetime string to required format
- Convert epoch time to a date
- Convert epoch time to a datetime
- Convert epoch to required format
- Convert epoch to a time
- Get time difference
- Parse date string to date
- Parse date string to datetime format
- Parse date string to time
- Examples of Python Code-based Transformations
Drag and Drop Transformations
- Special Keywords
Transformation Blocks and Properties
- Add a Field
- Change Datetime Field Values
- Change Field Values
- Drop Events
- Drop Fields
- Find & Replace
- Flatten JSON
- Format Date to String
- Format Number to String
- Hash Fields
- Mask Fields
- Modify Text Casing
- Parse Date from String
- Parse JSON from String
- Parse Number from String
- Rename Events
- Rename Fields
- Round-off Decimal Fields
- Split Fields
- Examples of Drag and Drop Transformations
- Effect of Transformations on the Destination Table Structure
- Transformation Reference
- Transformation FAQs
- Python Code-Based Transformations
- Using Schema Mapper
- Mapping Statuses
- Auto Mapping Event Types
- Manually Mapping Event Types
- Modifying Schema Mapping for Event Types
- Schema Mapper Actions
- Fixing Unmapped Fields
- Resolving Incompatible Schema Mappings
- Resizing String Columns in the Destination
- Schema Mapper Compatibility Table
- Limits on the Number of Destination Columns
- File Log
- Troubleshooting Failed Events in a Pipeline
- Mismatch in Events Count in Source and Destination
- Activity Log
- Does creation of Pipeline incur cost?
- Why are my new Pipelines in trial?
- Can multiple Sources connect to one Destination?
- What happens if I re-create a deleted Pipeline?
- Why is there a delay in my Pipeline?
- Can I delete skipped objects in a Pipeline?
- Can I change the Destination post-Pipeline creation?
- How does changing the query mode affect data ingestion?
- Why is my billable Events high with Delta Timestamp mode?
- Can I drop multiple Destination tables in a Pipeline at once?
- How does Run Now affect scheduled ingestion frequency?
- Will pausing some objects increase the ingestion speed?
- Can I sort Event Types listed in the Schema Mapper?
- How do I include new tables in the Pipeline?
- Can I see the historical load progress?
- Why is my Historical Load Progress still at 0%?
- Why is historical data not getting ingested?
- How do I restart the historical load for all the objects?
- How do I set a field as a primary key?
- How can I load only filtered Events to the Destination?
- How do I ensure that records are loaded only once?
- Why do the Source and the Destination events count differ?
- Events Usage
- Free Sources
Databases and File Systems
- Data Warehouses
- Connecting to a Local Database
- Amazon DocumentDB
- Amazon DynamoDB
- Generic MongoDB
- MongoDB Atlas
- Support for Multiple Data Types for the _id Field
- Example - Merge Collections Feature
Errors During Pipeline Creation
- Error 1001 - Incorrect credentials
- Error 1005 - Connection timeout
- Error 1006 - Invalid database hostname
- Error 1007 - SSH connection failed
- Error 1008 - Database unreachable
- Error 1011 - Insufficient access
- Error 1028 - Primary/Master host needed for OpLog
- Error 1029 - Version not supported for Change Streams
- SSL 1009 - SSL Connection Failure
- Troubleshooting MongoDB Change Streams Connection
- Troubleshooting MongoDB OpLog Connection
- Errors During Pipeline Creation
- Amazon RDS SQL Server
- Azure SQL Server
- Google Cloud SQL Server
- Generic SQL Server
- Troubleshooting SQL Server
- SQL Server FAQs
- Amazon Aurora MySQL
- Amazon RDS MySQL
- Azure MySQL
- Google Cloud MySQL
- Generic MySQL
- MariaDB MySQL
Errors During Pipeline Creation
- Error 1003 - Connection to host failed
- Error 1006 - Connection to host failed
- Error 1007 - SSH connection failed
- Error 1011 - Access denied
- Error 1012 - Replication access denied
- Error 1017 - Connection to host failed
- Error 1026 - Failed to connect to database
- Error 1027 - Unsupported BinLog format
- Failed to determine binlog filename/position
- Schema 'xyz' is not tracked via bin logs
- Errors Post-Pipeline Creation
- Errors During Pipeline Creation
- MySQL FAQs
- Amazon Aurora PostgreSQL
- Amazon RDS PostgreSQL
- Azure PostgreSQL
- Google Cloud PostgreSQL
- Generic PostgreSQL
- Heroku PostgreSQL
Errors during Pipeline creation
- Error 1003 - Authentication failure
- Error 1006 - Connection settings errors
- Error 1011 - Access role issue for logical replication
- Error 1012 - Access role issue for logical replication
- Error 1014 - Database does not exist
- Error 1017 - Connection settings errors
- Error 1023 - No pg_hba.conf entry
- Error 1024 - Number of requested standby connections
- Errors Post-Pipeline Creation
- Errors during Pipeline creation
- PostgreSQL FAQs
- Troubleshooting Database Sources
- Amazon S3
- Azure Blob Storage
- FTP / SFTP
- Google Cloud Storage (GCS)
- Google Drive
- Google Sheets
- Android SDK
- Writing JSONPath Expressions
REST API FAQs
- Why does my REST API token keep changing?
- Can I use a bearer authorization token for authentication?
- Does Hevo’s REST API support API chaining?
- What is the maximum payload size returned by a REST API?
- How do I split an Event into multiple Event Types?
- How do I split multiple values in a key into separate Events?
- Jira Cloud
- Finance & Accounting Analytics
- Apple Search Ads
- Facebook Ads
- Facebook Page Insights
- Firebase Analytics
- Google Campaign Manager
- Google Ads
- Google Analytics
- Google Analytics 4
- Google Analytics 360
- Google Play Console
- Google Search Console
- Instagram Business
- LinkedIn Ads
- Microsoft Advertising
- Pinterest Ads
- SendGrid Webhook
- Salesforce Marketing Cloud
- Snapchat Ads
- TikTok Ads
- Twitter Ads
- YouTube Analytics
- Product Analytics
Sales & Support Analytics
- Help Scout
- Hub Planner
- Toggl Track
- From how far back can the Pipeline ingest data?
- Can I connect to a Source not listed in Hevo?
- Can I connect a local database as a Source?
- How can I push data to Hevo API?
- How do I connect a CSV file as a Source?
- Why are my selected Source objects not visible in the Schema Mapper?
- How can I transfer Excel files using Hevo?
- How does the Merge Table feature work?
- Familiarizing with the Destinations UI
- Amazon Aurora MySQL
- SQL Server
- Connecting to a Local Database
- Limitations of using MySQL as a Destination
- Structure of Data in the Amazon Redshift Data Warehouse
- Loading Data to an Amazon Redshift Data Warehouse
- Troubleshooting Amazon Redshift Destination
- Amazon Redshift FAQs
- Azure Synapse Analytics
- Clustering in BigQuery
- Partitioning in BigQuery
- Loading Data to a Google BigQuery Data Warehouse
- Near Real-time Data Loading using Streaming
- Troubleshooting Google BigQuery
- Google BigQuery FAQs
- Hevo Managed Google BigQuery
- Structure of Data in the Snowflake Data Warehouse
- Loading Data to a Snowflake Data Warehouse
- Troubleshooting Snowflake
- Snowflake FAQs
- Amazon Redshift
- Can I move data between SaaS applications using Hevo?
- Can I change the primary key in my Destination table?
- How do I change the data type of table columns?
- Can I change the Destination table name after creating the Pipeline?
- How can I change or delete the Destination table prefix?
- How do I resolve duplicate records in the Destination table?
- How do I enable or disable deduplication of records?
- Why does my Destination have deleted Source records?
- How do I filter deleted Events from the Destination?
- Does a data load regenerate deleted Hevo metadata columns?
- Can I load data to a specific Destination table?
- How do I filter out specific fields before loading data?
- How do I sort the data in the Destination?
- dbt™ Models
- Familiarizing with the Models UI
- Types of Models
- Key Features
- Working with SQL Models
- Previewing a Model
- Viewing the Query History
- Legacy Models
- Models FAQs
- Account Management
- Personal Settings
- Team Settings
- Pricing Plans
- Time-based Events Buffer
- Setting up Pricing Plans, Billing, and Payments
- On-Demand Purchases
- Billing Alerts
- Viewing Billing History
- Billing Notifications
- Can I try Hevo for free?
- Can I get a plan apart from the Starter plan?
- Are free trial Events charged once I purchase a plan?
- For how long can I stay on the Free plan?
- How can I upgrade my plan?
- Is there a discount for non-profit organizations?
- Can I seek a refund of my payment?
- Do ingested Events count towards billing?
- Will Pipeline get paused if I exceed the Events quota?
- Will the initial load of data be free?
- Does the Hevo plan support multiple Destinations?
- Do rows loaded through Models count in my usage?
- Is Hevo subscription environment-specific?
- Can I pause billing if I have no active Pipelines?
- Can you explain the pricing plans in Hevo?
- Where do I get invoices for payments?
- Account Suspension and Restoration
- Account Management FAQs
- Activate Concepts
- Familiarizing with the Activate UI
- Working with Activate
- Activate Warehouses
- Activate Targets
- Release Notes
- Release Version 2.13
- Release Version 2.12
- Release Version 2.11
- Release Version 2.10
- Release Version 2.09
- Release Version 2.08
- Release Version 2.07
- Release Version 2.06
- Release Version 2.05
- Release Version 2.04
- Release Version 2.03
- Release Version 2.02
- Release Version 2.01
- Release Version 2.00
- Release Version 1.99
- Release Version 1.98
- Release Version 1.97
- Release Version 1.96
- Release Version 1.95
- Release Version 1.93 & 1.94
- Release Version 1.92
- Release Version 1.91
- Release Version 1.90
- Release Version 1.89
- Release Version 1.88
- Release Version 1.87
- Release Version 1.86
- Release Version 1.84 & 1.85
- Release Version 1.83
- Release Version 1.82
- Release Version 1.81
- Release Version 1.80 (Jan-24-2022)
- Release Version 1.79 (Jan-03-2022)
- Release Version 1.78 (Dec-20-2021)
- Release Version 1.77 (Dec-06-2021)
- Release Version 1.76 (Nov-22-2021)
- Release Version 1.75 (Nov-09-2021)
- Release Version 1.74 (Oct-25-2021)
- Release Version 1.73 (Oct-04-2021)
- Release Version 1.72 (Sep-20-2021)
- Release Version 1.71 (Sep-09-2021)
- Release Version 1.70 (Aug-23-2021)
- Release Version 1.69 (Aug-09-2021)
- Release Version 1.68 (Jul-26-2021)
- Release Version 1.67 (Jul-12-2021)
- Release Version 1.66 (Jun-28-2021)
- Release Version 1.65 (Jun-14-2021)
- Release Version 1.64 (Jun-01-2021)
- Release Version 1.63 (May-19-2021)
- Release Version 1.62 (May-05-2021)
- Release Version 1.61 (Apr-20-2021)
- Release Version 1.60 (Apr-06-2021)
- Release Version 1.59 (Mar-23-2021)
- Release Version 1.58 (Mar-09-2021)
- Release Version 1.57 (Feb-22-2021)
- Release Version 1.56 (Feb-09-2021)
- Release Version 1.55 (Jan-25-2021)
- Release Version 1.54 (Jan-12-2021)
- Release Version 1.53 (Dec-22-2020)
- Release Version 1.52 (Dec-03-2020)
- Release Version 1.51 (Nov-10-2020)
- Release Version 1.50 (Oct-19-2020)
- Release Version 1.49 (Sep-28-2020)
- Release Version 1.48 (Sep-01-2020)
- Release Version 1.47 (Aug-06-2020)
- Release Version 1.46 (Jul-21-2020)
- Release Version 1.45 (Jul-02-2020)
- Release Version 1.44 (Jun-11-2020)
- Release Version 1.43 (May-15-2020)
- Release Version 1.42 (Apr-30-2020)
- Release Version 1.41 (Apr-2020)
- Release Version 1.40 (Mar-2020)
- Release Version 1.39 (Feb-2020)
- Release Version 1.38 (Jan-2020)
- Upcoming Features
On This Page
- Obtaining the API Credentials
- Configuring NetSuite SuiteAnalytics as a Source
- Data Replication
- Data Model
- Source Considerations
- Revision History
NetSuite SuiteAnalytics is a powerful business intelligence and analytics toolset available within the NetSuite. It is designed to provide users with real-time access to their data and help them make informed business decisions based on insights gathered from that data. SuiteAnalytics includes a variety of features and tools, such as customizable dashboards, reporting and analysis tools, and data exploration capabilities. It allows you to create and view reports, analyze data using a range of metrics, and share insights with others.
Hevo uses the SuiteAnalytics Connect Service to replicate your SuiteAnalytics data and load it to the desired Destination for scalable analysis.
An active Netsuite account from which data is to be ingested exists.
You are logged in as an Admin user to create a role and user for Hevo, and obtain the API credentials.
The SuiteAnalytics Connect Service is enabled with access to the Netsuite2.com data source.
Obtaining the API Credentials
Hevo uses the Service Host and Port, and Account ID to establish a connection with the SuiteAnalytics Connect service, which enables Hevo to ingest data from NetSuite. To authenticate Hevo on your NetSuite account, various credentials are required, including the Consumer Key and Secret, the Data Warehouse Integrator Role ID, and the Token ID and Secret.
Note: You must be logged in as an Admin user to perform these steps.
To obtain these credentials, perform the following steps:
1. Obtain your Service Host, Port, and Account ID
Perform the following steps to obtain your SuiteAnalytics Connect credentials:
Log in to your NetSuite account.
In the NetSuite home page, in the Settings section, click Set Up SuiteAnalytics Connect.
In the SuiteAnalytics Connect Driver Download page, from the Your Configuration section, copy the SERVICE HOST, SERVICE PORT, and ACCOUNT ID, and save them securely like any other password.
You can need to use these credentials while configuring your Hevo Pipeline.
2. Enable web services and token-based authentication
Perform the following steps to generate the access token to authenticate Hevo:
Log in to your NetSuite account as an Administrator user.
In the NetSuite global search bar, enter page: enable, and select the Page: Enable Features result.
In the Enable Features page, click SuiteCloud.
In the SuiteCloud tab, SuiteScript section, select the CLIENT SUITESCRIPT check box, and click I Agree in the pop-up window displayed.
Select the SERVER SUITESCRIPT check box, and click I Agree in the pop-up window displayed.
In the Manage Authentication section, select the TOKEN-BASED AUTHENTICATION check box, and click I Agree in the pop-up window displayed.
At the bottom of the page, click Save.
3. Create an integration record for Hevo
An integration record is required to uniquely identify Hevo in your NetSuite account.
In the NetSuite global search bar, enter page: integrations, and click the Page: Manage Integrations result.
In the Integrations page, click New.
In the Integration page, specify the following settings:
Name: A unique name for the integration. For example, HEVO.
Token-based Authentication: Select this check box to allow Hevo to access your data.
In the confirmation page that is displayed, from the Consumer key/secret section, copy the consumer key and secret and, save them securely like any other password.
You can use these credentials while configuring your Hevo Pipeline.
4. Create a role for Hevo and configure permissions
We recommend that you create a Hevo-specific role and user so that it is easier to assign and manage the permissions required for Hevo to replicate your data.
To do this, perform the following steps:
In the NetSuite global search bar, enter Page: New role, and select the Page: New Role result.
In the Role page, specify a name for the role in the Name field. For example, HevoRole.
In the Permissions tab, click Setup, and do the following:
From the drop-down, select Log in using Access Tokens, and click Add.
From the drop-down, select SuiteAnalytics Connect, and click Add.
Repeat this step to add permissions according to the data you need to replicate.
After permissions for all tabs are added, click Save.
5. Create a Hevo user
In the NetSuite global search bar, enter Page: New Employees, and select the Page: New Employees result.
In the Employee page, specify the NAME, EMAIL, and SUBSIDIARY.
Scroll down and select the Access tab.
In the Access tab, do the following:
Select the GIVE ACCESS check box.
In the Roles section, from the ROLE drop-down, select:
The Hevo role that you created in Step 4 above. For example, HevoRole.
The system Data Warehouse Integrator role.
You have successfully created a user for Hevo.
6. Create an access token
Perform the following steps to create an access token for Hevo:
In the NetSuite global search bar, enter Page: Access Tokens, and click the Page: Access Tokens result.
In the Access Tokens page, click New Access Token.
In the Access Token page, specify the following details:
APPLICATION NAME: The integration record that you created in Step 3.
USER: The Hevo user that you created in Step 5. For example, HevoUser.
ROLE: The Hevo role that you created in Step 4. For example, HevoRole.
TOKEN NAME: A name for the token. NetSuite creates a name by default, however, you can specify a custom name. For example, HEVO.
From the confirmation page that is displayed, copy the Token ID and Secret, and save them like any other password.
You need to provide these credentials while configuring NetSuite SuiteAnalytics as a Source in Hevo.
7. Obtain the data warehouse integrator role ID
In the navigation bar at the top of the NetSuite dashboard, click Setup, Users/Roles, and Manage Roles.
In the Manage Roles page, copy the INTERNAL ID of the Data Warehouse Integrator role in the role list, and save it securely like any other password. Use this ID while configuring your Hevo Pipeline.
Configuring NetSuite SuiteAnalytics as a Source
Perform the following steps to configure NetSuite SuiteAnalytics as the Source in your Pipeline:
Click PIPELINES in the Navigation Bar.
Click + CREATE in the Pipelines List View.
In the Select Source Type page, select NetSuite SuiteAnalytics.
In the Configure your NetSuite SuiteAnalytics Source page, specify the following:
Pipeline Name: A unique name for the Pipeline, not exceeding 255 characters.
Service Host: The host URL that you obtained in Step 1 above. For example, in https://12345678-sb1.connect.api.netsuite.com, the service host is 12345678-sb1.
Server Data Source (Non-editable): The data source that Hevo uses to obtain data from your NetSuite account.
Service Port: The port number that you obtained in Step 1 above.
Account ID: The unique ID that you obtained in Step 1 above.
Consumer Key: The key that you obtained upon creating the integration record for Hevo.
Consumer Secret: The consumer secret that you obtained from your Netsuite account upon creating the integration record for Hevo.
Token ID: The ID of the access token that you created in Step 6 above, to allow Hevo to access your data.
Token Secret: The secret for the token that you created in Step 6 above.
Role ID: The data warehouse integrator role ID that you obtained from Step 7 above.
Click TEST & CONTINUE.
Proceed to configuring the data ingestion and setting up the Destination.
|Default Pipeline Frequency||Minimum Pipeline Frequency||Maximum Pipeline Frequency||Custom Frequency Range (Hrs)|
|3 Hrs||5 Mins||24 Hrs||1-24|
Note: You must set the custom frequency in hours as an integer value. For example, 1, 2, 3 but not 1.5 or 1.75.
Historical Data: In the first run of the Pipeline, Hevo ingests historical data for all the objects on the basis of the historical sync duration selected at the time of creating the Pipeline, and loads it to the Destination.
Incremental Data: Once the historical load is complete, all new and updated records for all objects are synchronized with your Destination according to the ingestion frequency.
Hevo allows you to ingest most objects from the Analytics Browser of SuiteAnalytics. Read Analytics Browser to view the list of objects available for ingestion.
Read the detailed Hevo documentation for the following related topics:
- Hevo currently does not support deletes. Therefore, any data deleted in the Source may continue to exist in the Destination.
Refer to the following table for the list of key updates made to this page:
|Date||Release||Description of Change|