About 8x8
8x8 is a cloud-based VoIP system that provides an array of communication services to businesses, including virtual office numbers, a versatile communications console and a wide range of analytics. The analytics can provide important call insights - including the average duration of a call and how many calls are abandoned or missed - as well as agent performance analytics, like who is completing the most calls or who has the longest wait times. 8x8 can also use that data to improve customer interactions, tracking agent skill sets in order to match customers with the agents that are most equipped to help them.
About Microsoft OneLake
Load data into Microsoft OneLake to power your Fabric analytics, data science projects, and real-time business intelligence. Unify all your enterprise data with OneLake as the single data foundation.
Popular Use Cases
Bring all your 8x8 data to Amazon Redshift
Load your 8x8 data to Google BigQuery
ETL all your 8x8 data to Snowflake
Move your 8x8 data to MySQL
Bring all your Microsoft OneLake data to Amazon Redshift
Load your Microsoft OneLake data to Google BigQuery
ETL all your Microsoft OneLake data to Snowflake
Move your Microsoft OneLake data to MySQL
8x8's End Points
8x8 Interactions
8x8 Campaigns
8x8 Agents
8x8 Groups
Microsoft OneLake's End Points
Table of Contents
- Connect OneLake for a single source of truth
- Migrate your data to OneLake in minutes
- Integrate.io has the OneLake integrations you need
- How Integrate.io customers grow faster with OneLake data connectors
- Get started analyzing your OneLake data
- Why choose Integrate.io for your OneLake integration?
Connect OneLake for a Single Source of Truth
With Integrate.io’s OneLake connector, you can create a real-time, reliable pipeline from all your source systems directly into OneLake. From there, your data becomes accessible to Power BI, Azure ML, and other Fabric services.
With Integrate.io, you can:
- Load data from hundreds of SaaS apps, databases, and cloud services into OneLake
- Structure and transform raw data before loading into Fabric-ready formats
- Keep OneLake continuously updated with fresh data via scheduled or real-time pipelines
Migrate Your Data to OneLake in Minutes
With Integrate.io, you can:
- Configure OneLake pipelines with a no-code interface
- Push high-volume structured and semi-structured data into OneLake from various systems
- Transform data during ingestion to align with Microsoft Fabric's best practices
- Eliminate scripting, connector maintenance, and operational overhead
Integrate.io Has the OneLake Integrations You Need
Popular integration use cases include:
- Loading ecommerce data from Shopify and BigCommerce into OneLake for product analytics
- Sending Salesforce opportunity data into OneLake for forecasting and revenue modeling
- Consolidating ERP and finance data from NetSuite and QuickBooks into OneLake for unified reporting
- Moving ad performance and customer behavior data into OneLake for AI/ML model training in Azure ML
How Integrate.io Customers Grow Faster with OneLake Data Connectors
Integrate.io solves this by syncing your most critical data from SaaS platforms, databases, cloud tools, and internal systems directly into OneLake. The result: faster decisions, better analytics, and smarter operations across every department.
Get Started Analyzing Your OneLake Data
With Integrate.io, you can:
- Ingest live sales, marketing, and support data into OneLake
- Feed unified datasets into Power BI for dashboarding and KPI tracking
- Train machine learning models in Azure using clean, OneLake-stored data
- Build scalable lakehouse pipelines without writing code
Why Choose Integrate.io for Your OneLake Integration?
With Integrate.io, you get:
- A drag-and-drop ETL/ELT interface tailored for cloud-native data movement
- Seamless support for Microsoft OneLake and the entire Fabric ecosystem
- Rich transformation tools, real-time syncs, and deep scheduling control
- Out-of-the-box connectors for CRMs, ERPs, ecommerce, ads, support systems, and more
- World-class support and in-depth documentation