Remove products data-discovery-and-classification
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Streamline data discovery with precise technical identifier search in Amazon SageMaker Unified Studio

AWS Big Data

This yields results with exact precision, dramatically improving the speed and accuracy of data discovery. In this post, we demonstrate how to streamline data discovery with precise technical identifier search in Amazon SageMaker Unified Studio.

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The unreasonable importance of data preparation

O'Reilly on Data

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

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Leveraging AI to discover and classify your data in a complex and dynamic landscape

Laminar Security

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

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How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes

AWS Big Data

In today’s rapidly evolving financial landscape, data is the bedrock of innovation, enhancing customer and employee experiences and securing a competitive edge. Like many large financial institutions, ANZ Institutional Division operated with siloed data practices and centralized data management teams.

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My top learning moments at Splunk.conf23

Rocket-Powered Data Science

Despite the thousands of miles (and kilometers) of separation, I could feel the excitement in the room as numerous announcements were made, individuals were honored, customer success stories were presented, and new solutions and product features were revealed. This reflected my strong interest in observability at that time. Leaders are 7.9x

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Navigating the Data Maze: Top Trends in Data Intelligence for 2025

BI-Survey

Imagine standing at the entrance of a vast, ever-expanding labyrinth of data. This is the challenge facing organizations, especially data consumers, today as data volumes explode and complexity multiplies. The compass you need might just be Data Intelligenceand it’s more crucial now than ever before.

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Data as a Product: Needs and Requirements

David Menninger's Analyst Perspectives

I previously wrote about data mesh as a cultural and organizational approach to distributed data processing. Data mesh has four key principles—domain-oriented ownership, data as a product, self-serve data infrastructure and federated governance—each of which is being widely adopted.