Latest Posts
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Designing AI Infrastructure for the Modern Enterprise
Enterprises are increasingly prioritising AI infrastructure, particularly generative AI, as essential for integrating AI frameworks into business workflows. The demand for specialised infrastructure is driven by the need for scalability, cost efficiency, and reliability, especially… Read more
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Avoiding Data Quality Failures: Enterprise Challenges and Best Practices
Data quality is crucial for businesses, as poor data quality can lead to significant financial losses and hinder decision-making. It encompasses dimensions such as accuracy, completeness, uniqueness, consistency, timeliness, and validity. Enterprises often struggle with… Read more
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Building Enterprise Data Lineage & Provenance
Data lineage is crucial for data management and governance, tracking data from its origin to destination. It ensures quality control and compliance, benefiting data engineers and owners. Unlike data provenance, which focuses on the origin… Read more
Archive Posts
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Enterprises are increasingly prioritising AI infrastructure, particularly generative AI, as essential for integrating AI frameworks into business workflows. The demand for specialised infrastructure is driven by the need for scalability, cost efficiency, and reliability, especially for deep learning models. Key components comprise high-performance computing, data storage, networking, and software tools. The global AI infrastructure market…
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Data quality is crucial for businesses, as poor data quality can lead to significant financial losses and hinder decision-making. It encompasses dimensions such as accuracy, completeness, uniqueness, consistency, timeliness, and validity. Enterprises often struggle with data quality due to reasons like neglecting it as an afterthought, relying solely on data engineers, inadequate technology, lack of…
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Data lineage is crucial for data management and governance, tracking data from its origin to destination. It ensures quality control and compliance, benefiting data engineers and owners. Unlike data provenance, which focuses on the origin and history of data, data lineage provides a broader view, tracing its journey through processes and transformations. Data Lineage can…
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