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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

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The Rise of Unstructured Data

Cloudera

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. The rate of data growth is reflected in the proliferation of storage centres.

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7 Advantages of Using Encryption Technology for Data Protection

Smart Data Collective

The trouble began in 2012 when a thief stole a laptop containing 30,000 patient records from an employee’s home. That same year, as well as in 2013, there were two separate instances of more data loss via misplaced USB drives. If you trust the data, it’s easier to use confidently to make business decisions.

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Amplitude customer data platform challenges Twilio, Salesforce, Adobe

CIO Business Intelligence

The CDP market is growing, and is forecast to reach $20.5 billion by 2027, according to a report from Research and Markets. The features are designed to improve data quality, reduce costs and accelerate time to data insights, according to Amplitude. Analytics, Data Management

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Amplitude customer data platform challenges Twilio, Salesforce, Adobe

CIO Business Intelligence

The CDP market is growing, and is forecast to reach $20.5 billion by 2027, according to a report from Research and Markets. The features are designed to improve data quality, reduce costs and accelerate time to data insights, according to Amplitude. Analytics, Data Management

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Unlocking New Capabilities with ChatGPT in Logi Symphony

Jet Global

This union signifies the transformation of traditional analytics dashboards into dynamic, AI-powered data hubs that can fetch, analyze, and provide actionable insights from a wide array of data sources. AI integration bridges the gap between data and action, making analytics an integral part of the application experience.