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USE CASE | SHIFT-LEFT ANALYTICS

Spend Less Time Cleaning, More Time Engineering

Ready to eliminate wasteful data proliferation and manual break-fix data pipelines? Process and govern data at the source—within milliseconds of its creation—with a data streaming platform.

Shifting processing and governance left allows you to reduce data quality issues by up to 60%, cut compute costs by 30%, and maximize engineering productivity and data warehouse ROI. Explore more resources to learn how to get started or download Shift Left: Unifying Operations and Analytics With Data Products.

Why Shift Processing & Governance Left?

In data integration, “shifting left” refers to an approach where data processing and governance are performed closer to the source of data generation. By cleaning and processing the data earlier in the data lifecycle, you can build data products that give all downstream consumers—including cloud data warehouses, data lakes, and data lakehouses—a single source of well-defined and well-formatted data.

Deliver Reusable, Trustworthy Data Products

Process data and govern data once at the source, and reuse in multiple contexts. Use Apache Flink® to shape data on the fly.

Power Analytics With the Freshest, High-Quality Data

Maintain high-fidelity data that’s continuously flowing into your lakehouse, and evolving seamlessly with Tableflow.

Maximize the ROI of Data Warehouses and Data Lakes

Reduce data quality issues by 40-60% and free up your data engineering team to work on more strategic projects.

Accelerating Your Data Streaming Journey With Our Partners

We work together with our extensive partner ecosystem to make it easy for customers to build, access, discover, and share high-quality data products organization-wide. See how innovative organizations like Notion, Citizens Bank, and DISH Wireless are leveraging the data streaming platform and our native cloud, software, and service integrations to shift data processing and governance left and maximize the value of their data.

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Notion Enriches Data Instantly to Power Generative AI Features

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Citizens Bank Improves Processing Speeds by 50% for CX & More

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DISH Wireless Creates Reusable Data Products for Industry 4.0

Maximize Your Data Warehouses in 4 Steps

Maximize your data warehouses and data lakehouses by feeding them fresh trustworthy data. It all starts when you have a complete data streaming platform that lets you stream, connect, govern, and process your data (and materialize it in open table formats) no matter where it lives.

Step 1. Connect Your Operational Systems to Stream Data Instantly

  • Out-of-the-box connectors: Use 120+ pre-built connectors—with 80+ fully managed across the stack like our Oracle CDC Connector—for instant integration with existing data systems.
  • Custom connectors: Bring your own connector and run it confidently and cost-effectively on our fully managed cloud service.
  • Built-in cloud integrations: Enjoy instant access to streaming data directly within AWS, Azure and Google Cloud, so you never have to leave the tool of your choice.

Step 2. Build Data Products Once and Reuse Them Anywhere

Enterprise-grade stream governance for Apache Kafka

Step 3. Enable Self-Service Access to Trustworthy Data Products

  • Ensure data quality at the source: Build trusted, high quality data products with explicit data contracts and schema management with Stream Governance.
  • Discover reusable data products: Help data consumers securely self-serve to search and repurpose data products via Data Portal.
  • Quickly understand complex data relationships: Gain more insights with an interactive, visual overview of data flows and processing with Stream Lineage.

Step 4: Unify Streaming and Analytics With Ease

  • Seamlessly stream data into data lakes: Represent Kafka topics and associated schemas as Apache Iceberg™ and Delta Lake tables in a few clicks with Tableflow.
  • Unlock faster data value for analytics and AI: Skip the ETL and tap into fresh and trustworthy operational data to drive higher-quality data insights.
  • Better together with our partner ecosystem: Leverage strong partnerships and tight integrations with Databricks and Snowflake to meet all your AI and analytics use cases.
Ready to Shift Processing and Governance Upstream?

Learn how Confluent can help your organization shift left and maximize the value of your data warehouse and data lake workloads. Connect with us today to learn how to adopt shift-left architectures and accelerate your analytics and AI use cases.