Originally published on vmblog.com: https://vmblog.com/archive/2022/12/27/alluxio-2023-predictions-what-s-next-for-data-analytics-ai-and-cloud-in-2023.aspx 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
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
This talk introduces the three game level progressions to use Alluxio to speed up your cloud training with production use cases from Microsoft, Alibaba, and BossZhipin.
Alluxio is the data orchestration platform to unify data silos across heterogeneous environments. This is the last article in a series to give you the basics of Alluxio’s architecture and solution.
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.
This article highlights synergy between the two widely adopted open-source projects, Alluxio and Presto, and demonstrates how together they deliver a self-serve data architecture across 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.
This whitepaper introduces how to speed up end-to-end distributed training in the cloud using Alluxio to accelerate data access. With the help of Alluxio, loading data from cloud storage, training and caching data can be done in a transparent and distributed way as a part of the training process. This whitepaper also demonstrates how to set up and benchmark the end-to-end performance of the training process, along with a comparison of other popular approaches.
Many companies have leveraged Alluxio to level up their current Presto platform, including Facebook, TikTok, Electronic Arts, Walmart, Tencent, Comcast, and more. They have gained significant benefits with Alluxio integrated into their Presto stack.