The Dremio Blog

Simplifying Kubernetes Management for the Modern Data Team Enterprise customers leveraging Dremio on Kubernetes (K8s) have long valued the ability to scale engines according to their performance and cost requirements. However, until now, this capability required specialized Kubernetes expertise and manual configuration processes that added complexity to your data infrastructure management. Today, we're excited to […]

Organizations generate vast amounts of data, spanning multiple sources, tables, views, and scripts. Traditional keyword-based search methods often fall short, returning irrelevant results and making data discovery and exploration difficult and time consuming. With AI-Enabled Semantic Search, discovering relevant data to help answer questions and solve business problems becomes intuitive, simple, and quick. AI-Enabled Search […]

Unlocking Effortless Data Organization with Dremio’s Iceberg Clustering Organizations today face significant challenges optimizing their data lakes for performance while minimizing engineering overhead. That's why Dremio is excited to introduce Iceberg Clustering, a powerful capability that intelligently optimizes the data layout in your Apache Iceberg lakehouse.. With Iceberg Clustering, Dremio automatically reorganizes data within partitions, […]

You're not alone if you're currently stretching SQL Server—or any OLTP database—beyond its intended purpose to keep up with analytics demand. This pain point is shared by countless organizations as data volumes grow, dashboards become more complex, and business expectations rise.

By leveraging the Dremio and dbt 's capabilities and adhering to these best practices, business units can build a strong CI/CD pipeline that improves both the quality and speed of data transformation projects.

With Dremio + LangChain + Flask/FastAPI, you can build the next generation of AI-driven applications that provide real-time, data-powered insights.

Organizations can create intelligent, real-time, data-driven applications with minimal overhead by leveraging Dremio’s ability to unify data across sources, LangChain’s agent-based AI capabilities, and Iceberg’s scalable table format.

With Dremio, enterprises can achieve a unified approach to data modeling that simplifies workflows, reduces costs, and improves collaboration across teams. The result is a streamlined, high-performing data environment where analysts and scientists can focus on delivering insights rather than untangling complexity.

Dremio also shines in unifying data across multiple sources, allowing you to query seamlessly without managing dozens of backend connections. With its semantic layer, you can define business logic once and reuse it consistently across your applications, making your backend code leaner and your APIs more reliable.

To conclude, deploying Dremio Pipes within your organisation offers significant enhancements to your data workflows. Auto-ingest Pipes provide a robust and automated solution that overcomes the limitations of traditional data ingestion methods, ensuring reliability and minimising disruptions. By streamlining ingestion processes, guaranteeing data integrity, and eliminating errors, Dremio Pipes maximise data team productivity and free up valuable resources for revenue-generating activities. Furthermore, Dremio Pipes offer effortless scalability, enabling seamless adaption to the ever-growing volumes and complexity of your data. This agility and responsiveness ensure your organisation can leverage valuable insights and make more informed decisions with unprecedented speed and efficiency.

Dremio allows you to easily share and manage your data within your organisation, while dbt allows the teams working with that data to efficiently share and collaborate. Combining Dremio's powerful data lakehouse platform and dbt's robust data transformation capabilities allows your organisation to produce reliable and accessible data to drive decision making and power AI initiatives.

Welcome to the 2024 Football Playoffs Hackathon powered by Dremio. Teams from across the globe will apply their analytics prowess to predict:  American Champion National Champion Overall League Winner Each team must analyze current stats provided to support their selections with detailed insights.  Judging criteria will include the accuracy of predictions, the quality of analysis, the clarity of visual presentation, and the depth of insights shared.

Dremio’s unique features and integrations make it the ultimate SQL query engine for Apache Iceberg tables. Its industry-leading raw performance, innovative query acceleration with Reflections, and powerful catalog options provide a seamless experience for managing and querying Iceberg tables across diverse data environments. These capabilities ensure you can handle modern analytics workloads quickly, consistently, and easily.

With Dremio, organizations can unify their data landscape while ensuring security and data quality, making it possible to foster a culture of data-driven decision-making at every level.

For enterprises ready to build a flexible, scalable, and governed data mesh, Dremio provides the ideal platform. By enabling efficient data access, documentation, and governance, Dremio ensures that every team has the tools to make data-driven decisions without compromise.