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.
About MongoDB Atlas
MongoDB Atlas is a cloud database service for applications that works with Amazon AWS, Microsoft Azure, and Google Cloud Platform. The database service seeks to comply with the most stringent data security and privacy standards while offering a reliable suite of drivers, tools, and integrations. By automating numerous database management tasks, MongoDB Atlas helps developers build apps faster with less human error.
Popular Use Cases
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
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
Microsoft OneLake is the centralized data lake for Microsoft Fabric, designed to support powerful analytics, machine learning, and BI across your organization. But its true potential is unlocked only when all your operational data flows into it, clean, timely, and complete.
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:
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
Populating your OneLake environment shouldn’t require building complex pipelines from scratch. Integrate.io helps you move fast, whether you’re onboarding a new data source or migrating entire data sets.
With Integrate.io, you can:
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
Whether you're preparing data for Power BI, real-time dashboards, or advanced ML pipelines in Azure, Integrate.io makes it simple to connect OneLake with the rest of your stack.
Popular integration use cases include:
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
Disconnected data prevents your organization from leveraging Microsoft Fabric’s full potential. If OneLake isn’t integrated with your data stack, valuable insights remain locked in silos, unavailable to the tools and teams that need them.
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.
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
Loading your data into OneLake is the first step. From there, Fabric’s entire ecosystem, Power BI, Synapse, Azure ML, can begin delivering real business value.
With Integrate.io, you can:
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?
Integrate.io is built for modern data teams that need flexibility, speed, and scale, without sacrificing governance or ease of use.
With Integrate.io, you get:
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
MongoDB Atlas's End Points
MongoDB Atlas Automated Features
The automated security features included in MongoDB Atlas let you monitor who has access to your data while securing your information against unwanted intrusions. Also, due to the platform's automation of mundane operational tasks — like provisioning and configuration, patching and upgrades, monitoring and alerts, advanced security automation, and disaster recovery — you don't have to be a data science expert to set up and run your databases.
MongoDB Advanced Security Automation
MongoDB Atlas provides a variety of database security layers including advanced access control, IP whitelists, in-flight data encryption through TLS/SSL, optional encryption of your file system, and network isolation through Amazon VPCs and VPC Peering.
MongoDB Atlas Built-In Replication
MongoDB Atlas offers multiple servers to provide 'always-on' availability. Even if your primary master goes down, multiple backups ensure that your system is always up and running.
MongoDB Atlas Backups and Time-Machine Recovery
The advanced backup and recovery features for MongoDB Atlas guard against data corruption. Whether the threat is from hackers or a team member's innocent mistake, you can rest easy knowing that, after a catastrophic, event you'll have a backup copy to recover your system from a specific time in the past.
MongoDB Atlas Detailed Statistics and Monitoring
MongoDB Atlas provides detailed information and statistics about your database systems. By organizing this information in numerous ways, the platform helps you understand when important changes or upgrades to your system may be necessary. Moreover, if it's time to make changes, you can provision new server instances in a flash.
MongoDB Atlas Automated Patches and Upgrades
Whether it's a new technology upgrade to improve database efficiency or a security patch to protect against a new security threat, MongoDB Atlas automatically upgrades or lets you upgrade with a single click, so you can take advantage of features as soon as they're available. Upgrades happen in a matter of minutes without any downtime required.
MongoDB Atlas Customizable Database Tools
MongoDB Atlas includes a suite of tools that allow you to select your regions, billing options, and more — allowing you to customize server instances to your desired specifications.
MongoDB Atlas Scalability
MongoDB Atlas scales up and down — or scales out horizontally through automatic sharding — according to the needs of your company with zero application downtime. This allows you to grow beyond the limitations of one server without making your application too complex. Moreover, the platform's automatic balancing keeps information equally distributed across multiple replica sets as your data volumes grow, or as your cluster increases or decreases.
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