We are looking for a Junior Data Scientist who doesn’t just "do data," but builds intelligent systems. In this role, you won't just be analyzing the past; you will be building the future of customer ...

Spark Declarative Pipelines automate flows for batch and streaming data, while Lakeflow Jobs coordinate tasks from SQL queries to machine learning model deployment, supporting streaming tables, ...

A GitHub project now offers an Azure Databricks medallion architecture pipeline built with PySpark, Python, and SQL. It processes e-commerce data through Bronze, Silver, and Gold layers, adding ...

Google Cloud introduced a new AI agent platform, updated data architecture, and eighth-generation TPUs at Next 2026.

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the ...

Google Cloud is turning the traditional enterprise data platform on its head, unveiling the Agentic Data Cloud infrastructure ...

Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress the work of entire engineering teams ...

Born out of Microsoft’s SQL Server Big Data Clusters investments, the Apache Spark Connector for SQL Server and Azure SQL is a high-performance connector that enables you to use transactional data in ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Cloud Big Data analytics, AI/ML expert. Venkata Ram Anjaneya Prasad Gadiyaram(aka Ram Ghadiyaram) is a seasoned Cloud Big Data analytics, AI/ML , mentor, and innovator ...

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...