About Google BigQuery
Load data to BigQuery using ETL or replication. Extract data from BigQuery and load to other data destinations.
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 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
Google BigQuery's End Points
Table of Contents
- Connect your data with Google BigQuery for a single source of truth
- ETL data to BigQuery in minutes
- Integrate.io has the BigQuery data integrations you need
- How Integrate.io customers power growth with our BigQuery data connectors
- Get started analyzing data in minutes
- Why choose Integrate.io for your BigQuery data integration?
- Get started on your BigQuery data integration today
- Check out our latest BigQuery-related articles
Connect your data with Google BigQuery for a single source of truth
Integrate.io provides a single source of truth for your marketing efforts by moving data from disparate sources in your organization to the BigQuery data warehouse. These sources include databases, apps, SaaS tools, ecommerce platforms, customer relationship management (CRM) systems, and enterprise resource planning (ERP) systems.
- Using BigQuery as your one source of truth lets you store marketing data from multiple sources in a centralized cloud-based location. That means you can access (and query) massive datasets without expensive hardware and infrastructure.
- Inputting data into BigQuery lets you analyze that data for more successful marketing outcomes. BigQuery's machine learning capabilities generate real-time analytics about customers, campaigns, and marketing pipelines.
- After ETLing marketing data to BigQuery, you can run it through BI tools such as Tableau, Looker, and Microsoft Power BI. Use this business intelligence to increase awareness about products and services, segment customers, and increase sales in your business.
Moving data to BigQuery is a complicated process requiring advanced data engineering knowledge. Integrate.io can ETL data to Google's data warehouse without you worrying about data integration tasks like SQL, JSON, OAuth, permissions, authentication, templates, and cloud storage. Remove the pain points of data integration with Integrate's BigQuery connection, and start ETLing your data today! Alternatively, you can ELT data to BigQuery without any complicated workflows.
Schedule an intro call to learn more about BigQuery data integration.
ETL data to BigQuery in minutes
Integrate.io extracts data from a source, transforms it into the correct data format, and loads it into Google's cloud warehouse. This process removes the challenges of integrating data with BigQuery and can take just a few minutes to execute — much quicker than manual pipeline-building!
- Integrate.io's native connector extracts data from a database, CRM, ERP, or other data source.
- Integrate.io transforms data for BigQuery data analysis.
- Integrate.io loads data into BigQuery.
- You can then move BigQuery datasets through BI tools and generate insights about your business for enhanced decision-making!
You can repeat this process with multiple data sources and unify all the data in your organization inside BigQuery.
Integrate.io's ETL connector for BigQuery multiplies your data team's outcomes and gives you more value from your data. Integrate.io also supports ELT, Reverse ETL, data warehouse insights, and data observability. You can even benefit from super-fast CDC, allowing you to identify database changes as they occur and get more visibility into your most up-to-date data sets. Schedule an
ETL trial set-up meeting today and evolve your data stack.
Integrate.io has the BigQuery data integrations you need
Integrate.io moves data to BigQuery for unified reporting and deep insights.
Examples of Integrate.io BigQuery integrations
Integrate.io is the no-code data pipeline platform that ETLs (and ELTs) data from multiple sources to BigQuery without a steep learning curve. Integrate data in a jargon-free environment and free up resources for your hard-working data team!
Try Integrate.io yourself for 14 days.
How Integrate.io customers power growth with our BigQuery data connectors
ETLing data to BigQuery with Integrate.io streamlines the entire data integration process from extraction to analysis.
- Remove the data silos in your organization that prevent you from generating business intelligence and making business decisions.
- Create a 360-degree view of data in your organization in a single cloud-based location.
- Remove inaccuracies and errors when ETLing data to BigQuery. Integrate.io's native connector lets you spend more time on analysis than fixing pipelines.
- Scale your business needs with Integrate.io's flexible BigQuery connector. You can choose the information you want to move to Google's cloud data warehouse and hold back the data you don't need.
- Integrate.io's simple user interface makes it easy to move data from one location to another. You can also benefit from drag-and-drop point-and-click functionality!
- After running data through BI tools, you can share data insights on dashboards and reports with team members and stakeholders.
Get started analyzing data in minutes
Integrte.io's ETL sign-up process takes just a few minutes. Enter a few details on a simple form and
talk to an expert who can help you decide the best methods for your BigQuery data integration use case. Even if you lack lots of data engineering experience, Integrate.io can help!
Why choose Integrate.io for your BigQuery data integration?
Customize data integration notifications
While other platforms might bombard you with notifications, Integrate.io lets you choose the data integration alerts you want to receive.
Enhanced security
Integrate.io takes security seriously! Benefit from encryption, field-level data hashing, and other data security protocols when moving data to BigQuery and other target destinations.
Data governance
Integrate.io helps you comply with data governance regulations such as GDPR and CCPA when transferring data to a target location such as Google BigQuery. Avoid expensive government fines for non-compliance!
Customer service
Contact a member of the Integrate.io team via phone, email, or live chat. You can also access tutorials, guides, and FAQ pages on the Integrate.io website when troubleshooting issues.
REST API connector
Can't find a connector for your data integration project? Build your own connectors with Integrate.io and move data to your desired destination.
Get started on your BigQuery data integration today
ETLing data to Google BigQuery has never been so easy! Integrate.io's native BigQuery connector automates complex data integration tasks, providing a simple and seamless integration experience.
Sign up for an ETL trial!
Check out our latest BigQuery-related articles
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.