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Agentic AI has the potential to revolutionize workplace processes in nearly every sector by improving business decision-making, workflow efficiency and customer interactions and experiences. While interest in agentic AI is widespread, the motivation to use it differs by industry. Cloudera surveyed 1,484 enterprise IT leaders across 14 countries to better understand their approach to agentic AI in 2025, including how specific industries plan to implement the technology.

You will need the following architectural decisions and migration process to make a data lake the center of your architecture.

Microsoft Power BI stands out from other leading business intelligence (BI) tools by leveraging the powerhouse ecosystem of Microsoft. Beyond BI capabilities, Microsoft offers industry-leading solutions for cloud infrastructure, collaboration, and business applications. This integrated ecosystem creates a unique value proposition for organizations looking to consolidate tools and streamline operations.

Indexing with column granularity, now in preview, adds column information to indexes, helping BigQuery pinpoint relevant data within columns.

Earth Engine in BigQuery capability allows SQL users to analyze geospatial data, even if they don't have remote sensing experience.

In the era of real-time data, Change Data Capture (CDC) in PostgreSQL has become a critical capability for organizations aiming to sync systems, trigger events, and power analytics with fresh, consistent data. This guide will take you through the core concepts, methods, tools, and best practices of how to enable CDC in PostgreSQL instance, making it easier for you to build efficient, reliable, and scalable data pipelines.

In 2025, data doesn’t just support the business — it drives it. That means real-time decision-making is no longer optional. From fraud detection and customer engagement to predictive maintenance and logistics optimization, real-time data processing is the foundation of business agility. Yet many professionals still struggle with legacy bottlenecks: batch ETL jobs, siloed data, and limited pipeline observability.