About Databricks
Extract data from and load data into Databricks to power your advanced analytics, machine learning pipelines, and business intelligence use cases. Do more with your Databricks data.
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 Databricks data to Amazon Redshift
Load your Databricks data to Google BigQuery
ETL all your Databricks data to Snowflake
Move your Databricks 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
Databricks's End Points
Table of Contents
- Connect Databricks for a single source of truth
- Migrate your Databricks data in minutes
- Integrate.io has the Databricks integrations you need
- How Integrate.io customers grow faster with Databricks data connectors
- Get started analyzing your Databricks data
- Why choose Integrate.io for your Databricks integration?
Connect Databricks for a Single Source of Truth
Databricks unifies your data engineering, data science, and analytics workflows. However, its true value is unlocked when it connects to the broader data ecosystem, such as CRMs, ERPs, SaaS tools, and cloud platforms.
With Integrate.io’s Databricks connector, you can centralize your data, streamline pipelines, and ensure that the insights you generate in Databricks are based on complete, timely information.
Use Integrate.io to:
With Integrate.io’s Databricks connector, you can centralize your data, streamline pipelines, and ensure that the insights you generate in Databricks are based on complete, timely information.
Use Integrate.io to:
- Load structured and semi-structured data into Databricks from APIs, databases, and applications
- Extract clean, transformed data from Databricks into analytics and reporting tools
- Sync Databricks with data warehouses and business systems in real time
Migrate Your Databricks Data in Minutes
Whether you’re building your first Delta Lake table or integrating Databricks into an existing ML pipeline, Integrate.io simplifies the setup. No complex scripting. No hand-coded workflows.
With Integrate.io, you can:
With Integrate.io, you can:
- Create Databricks pipelines via drag-and-drop configuration
- Push large datasets from multiple systems into Databricks quickly and securely
- Transform and model data in-flight before loading into Databricks
- Extract data from Databricks notebooks, jobs, and clusters for use in downstream platforms
Integrate.io Has the Databricks Integrations You Need
From operational data ingestion to machine learning preparation, Integrate.io helps Databricks fit seamlessly into your stack, without writing code.
Popular integration use cases include:
Popular integration use cases include:
- Moving Salesforce or HubSpot data into Databricks for customer modeling
- Pushing ecommerce clickstream data into Databricks for product analytics
- Exporting feature-engineered datasets from Databricks into Snowflake or BigQuery
- Using Databricks as a transformation layer before feeding dashboards in Tableau or Power BI
How Integrate.io Customers Grow Faster with Databricks Data Connectors
Innovation happens faster when Databricks is integrated with all your critical data sources. Machine learning models improve. Analytics are more complete. Decisions become more accurate.
Integrate.io helps you unlock the full potential of Databricks by making data from across your systems available, cleaned, transformed, and ready for use.
Every team benefits from connected Databricks workflows, from marketing to product to finance.
Every team benefits from connected Databricks workflows, from marketing to product to finance.
Get Started Analyzing Your Databricks Data
Whether you're prepping training data, running real-time inference, or visualizing KPIs, the key is unified data. Integrate.io connects Databricks with the platforms where your business operates.
With a few clicks, you can:
With a few clicks, you can:
- Connect Databricks to your warehouse for bi-directional sync
- Send transformed datasets from Databricks to BI tools
- Orchestrate ETL pipelines involving Delta Lake, MLflow, and more
Why Choose Integrate.io for Your Databricks Integration?
Integrate.io is built for modern data workflows, batch or streaming, structured or messy, warehouse or lakehouse.
Key advantages include:
Key advantages include:
- A no-code/low-code interface for rapid integration
- Support for Delta Lake, JDBC, and REST APIs
- Powerful transformation engine with built-in scheduling
- Secure, compliant data handling for enterprise-grade deployments
- Top-tier support and deep 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.
Integrate Databricks With Amazon Kinesis Today
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