Email display mode:| lists.apache.org
Email display mode:| lists.apache.org
Learn how to set up a data lakehouse using Dremio, Nessie, and Apache Iceberg. Discover their functionalities and how to try them on your computer.| Dremio
Discover how Dremio serves BI dashboards from SQLServer or uses Apache Iceberg tables. Learn how our data lakehouse platform simplifies data delivery.| Dremio
Learn how Dremio simplifies the traditional multi-step data transfer process from Postgres to dashboards, reducing costs and complexity.| Dremio
Explore how Dremio serves BI dashboards from MongoDB or uses Apache Iceberg tables. Learn how our data lakehouse platform simplifies data delivery.| Dremio
Discover Apache Iceberg with a comprehensive 101 course and resources covering concepts, features, hands-on exercises, and real-world applications.| Dremio
Dremio's `COPY INTO` command, and the soon-to-be-released Auto Ingest feature provide robust solutions for importing these files into Apache Iceberg tables. By leveraging Dremio, ingesting and maintaining data in Apache Iceberg becomes manageable and efficient, paving the way for performant and flexible analytics directly from your data lake. In this article, we’ll do a hand-on exercise you can do in the safety of your local environment to see these techniques at work.| Dremio
Dremio enables directly serving BI dashboards from Apache Druid or leveraging Apache Iceberg tables in your data lake. This post will explore how Dremio's data lakehouse platform simplifies your data delivery for business intelligence by doing a prototype version that can run on your laptop.| Dremio
This exercise hopefully illustrates that setting up a data pipeline from Kafka to Iceberg and then analyzing that data with Dremio is feasible, straightforward, and highly effective. It showcases how these tools can work in concert to streamline data workflows, reduce the complexity of data systems, and deliver actionable insights directly into the hands of users through reports and dashboards.| Dremio
Moving data from source systems like MySQL to a dashboard traditionally involves a multi-step process: transferring data to a data lake, moving it into a data warehouse, and then building BI extracts and cubes for acceleration. This process can be tedious and costly. However, this entire workflow is simplified with Dremio, the Data Lakehouse Platform. Dremio enables you to directly serve BI dashboards from MySQL or leverage Apache Iceberg tables in your data lake.| Dremio
Moving data from source systems like Elasticsearch to a dashboard traditionally involves a multi-step process: transferring data to a data lake, moving it into a data warehouse, and then building BI extracts and cubes for acceleration. This process can be tedious and costly. However, this entire workflow is simplified with Dremio, the Data Lakehouse Platform. Dremio enables direct serving of BI dashboards from Elasticsearch or leveraging Apache Iceberg tables in your data lake.| Dremio
Learn how Nessie's integration with Dremio adds value to data lakehouse architecture. Enhance data management and collaboration with Dremio solutions.| Dremio