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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines. What is a Data Pipeline? A data pipeline is a series of processing steps that move data from its source to its destination. The answer?

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines. What is a Data Pipeline? A data pipeline is a series of processing steps that move data from its source to its destination. The answer?

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How Reveal’s Logikcull used Amazon Comprehend to detect and redact PII from legal documents at scale

AWS Machine Learning Blog

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.

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Using Snowflake Data as an Insurance Company

phData

Masked data provides a cost-effective way to help test if a system or design will perform as expected in real-life scenarios. As the insurance industry continues to generate a wider range and volume of data, it becomes more challenging to manage data classification.

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Building a Data Culture with Snowflake: A Guide for CIOs

phData

Data as the foundation of what the business does is great – but how do you support that? What technology or platform can meet the needs of the business, from basic report creation to complex document analysis to machine learning workflows? The Snowflake AI Data Cloud is the platform that will support that and much more!

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Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Flipboard

Global policies such as data dictionaries ( business glossaries ), data classification tags, and additional information with metadata forms can be created by the governance team to ensure standardization and consistency within the organization. He loves spending time with his family and friends.

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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning Blog

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. Customer: "Our data pipeline jobs are failing with a 'memory allocation error' during the aggregation phase.

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