Topic: dremio

SD Times news digest: Dremio launches SQL Lakehouse Service, Fastly launched JavaScript in Compute@Edge, Crystal 1.1 released

The SQL lakehouse company Dremio announced its cloud-native SQL-based data lakehouse service, Dremio Cloud.  The new service enables organizations to leverage no-copy open data architecture that eliminates the need to copy data into expensive and proprietary warehouses. It enables high-performance SQL workloads directly on cloud storage. “We built Dremio to automatically handle any scale with … continue reading

SD Times Open-Source Project of the Week: Apache Arrow Flight

This week’s featured open-source project is Apache Arrow Flight, a RPC framework for high-performance data services based on Arrow data. The project was co-developed by daka lake engine company Dremio, which recently added new support, and is built on top of gRPC and the IPC format.  According to the team, Flight works by defining a … continue reading

Dremio 3.0 introduces new ways to empower data scientists

Data-as-a-service platform provider Dremio has announced a major release of its open-source platform. According to the company, the new features in Dremio 3.0 will support data initiatives by providing shorter lead times, lower operational costs, greater security and governance, and more self-service to a wider variety of roles. “Everything-as-a-Service has been embraced by IT for … continue reading

SD Times Open-Source Project of the Week: Gandiva

Data-as-a-Service platform provider Dremio announced a new open-source initiative for Apache Arrow this week. The Gandiva Initiative for Apache Arrow aims to speed up and improve the performance of in-memory analytics using Apache Arrow. The project will leverage the open-source compiler LLVM, and apply any changes to programming languages and libraries starting with C++ and … continue reading

The technical debt you’re overlooking: Big Data debt

When you’re building a new application, you’re going to make lots of hard decisions. Every engineering project involves trade-offs. Most of the time it is smart to ship a feature quickly, assess market fit, then go back to build it “right” in a subsequent release. We commonly call this “technical debt,” and it’s an obligation … continue reading

Dremio launches self-service data platform for data analytics

Today, data is fast-moving, very distributed, and is no longer sitting in one relational database. Data scientists, developers, and business analysts want to tap into data analytics on their own, so teams are turning to self-service data platforms like Dremio to eliminate the need for traditional Big Data systems and infrastructure. Dremio announced today that … continue reading

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