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CAS D'USAGE | SHIFT-LEFT ANALYTICS

Consacrez moins de temps au nettoyage des données et davantage à l'ingénierie

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Vous souhaitez éliminer la prolifération des données et la réparation manuelle des pipelines de données ? Traitez et gérez les informations à la source, dès qu'elles sont créées, grâce à une plateforme de streaming.

Un traitement et une gouvernance Shift Left vous permettent de réduire de jusqu'à 60 % les problèmes de qualité des données, de diminuer de 30 % les coûts informatiques et d’optimiser la productivité technique et le ROI de votre entrepôt de données. Découvrez d’autres ressources pour savoir comment vous lancer ou téléchargez Shift Left : unifier les opérations et les analyses avec les produits de données.

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.

Tendances dans l’analyse Shift Left

A diagram showing the foundational data flow of Shift Left architecture
Comment créer des produits de données réutilisables avec le Shift Left

Explorez l’analyse Shift Left et découvrez comment cette approche simple de l’intégration des données permet de favoriser l'innovation au sein des entreprises.

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Prevent Bad Data in Streams

Show Me How: Shift Left Processing From Data Warehouses

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How to Optimize Data Ingestion Into Lakehouses & Warehouses

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Tableflow Is GA: Unifying Apache Kafka® Topics & Apache Iceberg™️ Tables

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Conquer Your Data Mess With Universal Data Products

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Accélérez votre parcours de streaming avec nos partenaires

Nous travaillons avec un vaste réseau de partenaires pour permettre à nos clients de créer, d'exploiter, de découvrir et de partager facilement des produits de données de haute qualité à l’échelle de leur organisation. Découvrez comment des entreprises innovantes comme Notion, Citizens Bank et DISH Wireless tirent parti de notre plateforme de streaming de données et exploitent nos intégrations, logiciels et services cloud native afin d’appliquer les principes Shift Left au traitement et à la gouvernance des données afin d'en maximiser la valeur.

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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.