Abstract: SQL query optimization aims to choose an optimal Query Execution Plan (QEP) for a query. The existing optimizers usually choose the plan with the minimal execution cost. However, in some ...

Try the Interactive Demo, VLDB 2026 — explore GenDB's full pipeline with a guided audio walkthrough. See how six AI agents analyze data, design storage, plan execution, generate code, and optimize it ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

If you’ve always been in awe of folks using the Google Search Console API to do cool things, this article is a good read for you. You can use BigQuery with the GSC bulk data export to get some of the ...

Abstract: Quantum computing promises to solve difficult optimization problems in chemistry, physics and mathematics more efficiently than classical computers. However, it requires fault-tolerant ...

IBM® watsonx.data is a hybrid, open data lakehouse to power AI and analytics with all your data anywhere. A key feature is the ability to access all data through a single point of entry with a shared ...

The recent Databricks Data+AI Summit attracted a large audience and, like Snowflake Summit, featured a strong focus on large language models, unification and bringing AI to the data. While customers ...