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Machine learning (ML) has rapidly become a cornerstone of innovation across industries, but the complexity of deploying and managing ML models at scale often requires more than just data scientists. …

PySpark continues to evolve as a key tool for processing large-scale data in distributed environments. With the release of PySpark 2025, there are significant updates that can improve performance, introduce …

The role of AI in data engineering is rapidly evolving, and one of the most exciting developments is the integration of Large Language Models (LLMs) like GPT-4 into data pipelines. …

Data engineering interviews in 2025 are more challenging than ever. As the demand for skilled data engineers increases, companies are looking for professionals who can not only write efficient code …

Choosing the right cloud data warehouse can make a massive difference to your analytics performance, scalability, and cost-efficiency. In 2025, two platforms continue to dominate the conversation — Google BigQuery …

The data engineering world is moving fast — and staying updated with the right tools can make or break your career. Whether you’re just starting out or already working in …