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 Amazon Kinesis
Amazon Kinesis is a powerful analytics solution that overcomes the batch-processing challenges of Hadoop — and similar solutions — which don't allow real-time precision in decision-making because they can't rapidly process high volumes of streaming data. With its ability to process hundreds of terabytes of streaming data per hour, Kinesis allows you to develop apps that rely on real-time data to fuel AI analytics, machine learning insights, and other applications. Kineses enables instant responses by eliminating the delay associated with batch processing.
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
Bring all your Amazon Kinesis data to Amazon Redshift
Load your Amazon Kinesis data to Google BigQuery
ETL all your Amazon Kinesis data to Snowflake
Move your Amazon Kinesis 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
Amazon Kinesis's End Points
Amazon Kinesis Video Streams
Amazon Kineses Video Streams allow you to safely ingest streaming video data from millions of linked devices into AWS for machine learning, analytical, and other processing purposes. The platform then encrypts, stores, and indexes the video data so you can access video with simple APIs, play live video streams, and offer on-demand playback. When incorporating this technology with Amazon Rekognition Video, TensorFlow, ApacheMxNet, and OpenCV, Amazon Kineses Video Streams makes it possible to build video analytics and computer vision processes into your applications.
Amazon Kinesis Data Streams
By capturing, processing, and storing data streams, Amazon Kinesis offers a real-time data streaming solution to ingest large amounts of information from hundreds of thousands — even millions — of sources at the gigabytes-per-second scale. The massive scalability of this solution lets you capture and produce immediate analytics on data pertaining to financial transactions, database event streams, location tracking data, clickstreams, social media activity, and more. Since the availability of streaming data happens in milliseconds, the platform enables real-time analytics of this information for instant detection of anomalies, dynamic price adjustments, precise dashboard metrics, and more.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose provides a simple and durable way to pull your streaming data into data warehouses, data lakes, and analytics solutions. Due to its compatibility with Splunk, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, Kinesis Data Firehose empowers real-time data analytics for the dashboarding and BI tools you've come to trust. Fully managed and automatically scaling, you can use Firehose to encrypt, batch, transform, and compress your information before ingestion to boost security and save on disk space.
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics helps users without programming knowledge to analyze data streams with SQL or Java. For team members who know SQL, an SQL editor and templates are available for creating streaming applications or querying streaming data. Meanwhile, those with Java knowledge can develop more nuanced streaming applications that perform real-time data transformations and analytical processes.
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