Remove 2025 Remove Data Lakes Remove Data Quality
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How Anomalo solves unstructured data quality issues to deliver trusted assets for AI with AWS

Flipboard

As a result, the competitive edge is shifting toward data access and data quality. Transforming unstructured files, maintaining compliance, and mitigating data quality issues all become critical hurdles when an organization moves from AI pilots to production deployments.

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Go vs. Python for Modern Data Workflows: Need Help Deciding?

KDnuggets

Need both performance and flexibility in your data workflows? By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 19, 2025 in Programming Image by Author | Ideogram Youre architecting a new data pipeline or starting an analytics project, and you’re probably considering whether to use Python or Go.

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Build a domain‐aware data preprocessing pipeline: A multi‐agent collaboration approach

Flipboard

The end-to-end workflow features a supervisor agent at the center, classification and conversion agents branching off, a humanintheloop step, and Amazon Simple Storage Service (Amazon S3) as the final unstructured data lake destination. Make sure that every incoming data eventually lands, along with its metadata, in the S3 data lake.

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Drowning in Data? A Data Lake May Be Your Lifesaver

ODSC - Open Data Science

Organizations that can capture, store, format, and analyze data and apply the business intelligence gained through that analysis to their products or services can enjoy significant competitive advantages. But, the amount of data companies must manage is growing at a staggering rate. and various countries in Europe.

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An Introduction to Metadata Management

Dataversity

According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […].

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List of ETL Tools: Explore the Top ETL Tools for 2025

Pickl AI

It provides insights into considerations for choosing the right tool, ensuring businesses can optimize their data integration processes for better analytics and decision-making. Introduction In todays data-driven world, organizations are overwhelmed with vast amounts of information.

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A Comprehensive Guide to the main components of Big Data

Pickl AI

Introduction In today’s digital age, the volume of data generated is staggering. According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Key Takeaways Big Data originates from diverse sources, including IoT and social media.