The Trino Optimization Handbook

Your 🐰 queries are slow 🐢 … you’re frustrated 😩 … Don’t let suboptimal Trino performance hold you back any longer! Unlock the full potential of Trino and transform your data analytics game. Discover the secrets behind Trino’s query engine and learn how to overcome bottlenecks to achieve⚡ blazing-fast  query performance. In this comprehensive guide, … Continued

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What’s Next for Data Analytics, AI, and Cloud in 2023?

Originally published on As we enter 2023, the world of analytics, AI, and cloud is entering an exciting new phase, with a wide range of innovations and developments set to reshape the landscape. Below are some trends that will have the most impact in the coming year. Trend 1: Cloud cost optimization is … Continued

Building a Distributed File System For The Cloud-Native Era

Big Data Bellevue Meetup May 19, 2022 Today, data engineering in modern enterprises has become increasingly more complex and resource-consuming, particularly because (1) the rich amount of organizational data is often distributed across data centers, cloud regions, or even cloud providers, and (2) the complexity of the big data stack has been quickly increasing over … Continued

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Spark + Alluxio Overview | Pair Spark with Alluxio to Modernize Your Data Platform

By bringing Alluxio together with Spark, you can modernize your data platform in a scalable, agile, and cost-effective way.  In this post, we provide an overview of the Spark + Alluxio stack. We explain the architecture, discuss real-world examples, describe deployment models, and showcase performance and cost benchmarking.

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Architecting a Heterogeneous Data Platform Across Clusters, Regions, and Clouds

Data platform teams are increasingly challenged with accessing multiple data stores that are separated from compute engines, such as Spark, Presto, TensorFlow or PyTorch. Whether your data is distributed across multiple datacenters and/or clouds, a successful heterogeneous data platform requires efficient data access. Alluxio enables you to embrace the separation of storage from compute and use Alluxio data orchestration to simplify adoption of the data lake and data mesh paradigms for analytics and AI/ML workloads.

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