Yuan Jiang is a senior staff engineer leading the storage engine team for the Interactive Analytics product at Alibaba. At Big Data Tech Warsaw Summit 2020, he told a story of a large-scale real-time data warehouse product developed in-house. He talked solutions for a real-time data warehouse, its architecture, and typical scenarios. What is Interactive Analytics service, and is it available for the general public? It is a sub-second real-time data warehouse. It offers the ability to analyze a massive amount of data interactively, and it is fully compatible with PostgreSQL. We combined large scale Computational Storage – low cost,
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How to create an extensible Big Data platform for advanced analytics? How to scale data platform from a few terabytes to over 100 petabytes while reducing the data latency from 24+ hours to minutes. Reza Shiftehfar, Hadoop Platform teams leader at Uber, at Big Data Tech Warsaw Summit 2020, told a story of building and growing Uber’s reliable and scalable Big Data platform. It serves petabytes of data in a real-time fashion utilizing technologies such as Apache Hadoop, Apache Hive, Apache Kafka, Apache Spark, and Presto. What is your role at Uber? I manage the new platform team at Uber.
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We all know it: data is the new oil, and we live in a data age. We all understand the value of data in optimizing the business and pursuing new opportunities. The question is how to use it efficiently to become more successful and more agile, how to become a data-driven organization? The best way to look for the answers is Big Data Tech Warsaw Summit, an independent annual conference focusing on data science and engineering, AI and machine learning, data strategies and monetization, DevOps and the cloud. Data truly is today’s most valuable resource. Every company in the world
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