Eine Echtzeit-Brücke in die Cloud bauen – mit Confluent Platform 7.0 und Cluster Linking | Blog lesen
Accelerate your data warehouse migration and modernization with Confluent. With Confluent’s data warehouse modernization solution, enterprises can connect and migrate hybrid and multicloud data to their cloud data warehouse of choice to scale stream processing and power new real-time analytics.
Scale real-time data processing with Confluent across any environment and data warehouse.
Build real-time data pipelines in the programming language of your choice so you can connect hybrid and multicloud data to your cloud data warehouse faster.
Build on an open platform, powered by Apache Kafka, to increase throughput and reduce latency for real-time data applications or dashboards.
With 120+ connectors and cluster linking, enterprises can connect to more data and even across multiple DWs no matter where it lives.
"We are currently in the process of moving our on-prem Teradata data marts to Google BigQuery, and we see a strong use case for Confluent Cloud with that move."
Michael Roseman, SVP and Chief Architect
“The business case for doing this is compelling. Based on our testing and projections, we expect at least 10x ROI over 3 years for this investment.”
Bob Pearman, Head of Data and Analytics
“Being able to take data from our Kafka topics and ship it off to BigQuery with Kafka Connect has been particularly beneficial to us...”
Chirag Dadia, Director of Engineering
Connect on-prem and multicloud data, apps, and DWs to power real-time analytics.
Access a library of 120+ relevant connectors like Snowflake, Redshift, BigQuery, Synapse, and more.
Build materialized views, aggregations (e.g. windowing), and large scale table joins with SQL to reduce processing times from minutes to milliseconds vs. your DW.
Connect Confluent clusters across environments to link multiple DWs together and access real-time, distributed data no matter where it lives.
Cloud has drastically changed the data analytics space as organizations have decoupled storage from compute to power new analytics ranging from traditional BI to machine learning.
As organizations migrate their analytics data from existing on-prem data analytics platforms (Teradata, Cloudera, etc.) they are finding themselves landing analytics data in cloud based data warehouses (Snowflake, Databricks, BigQuery, Redshift, Synapse).
Modernizing your data warehouse and moving to the cloud doesn’t need to be a multi year lift and shift. With Confluent’s data warehouse modernization solution, enterprises can connect hybrid and multicloud data to their cloud data warehouse of choice to power new real-time analytics today.
Learn more about our Data Warehousing Modernization solution, and how to get started with any cloud provider of your choice