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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects.

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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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Deletion Vectors in Delta Live Tables: Identifying and Remediating Compliance Risks

Perficient

Our Databricks Practice holds FinOps as a core architectural tenet, but sometimes compliance overrules cost savings. There is a catch once we consider data deletion within the context of regulatory compliance. This can expose your organization to regulatory compliance risk. What Are Deletion Vectors?

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. The following architecture diagram demonstrates the request flow for AskAI.

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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

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Technology Trends for 2025

O'Reilly Media - Ideas

Therefore, its not surprising that Data Engineering skills showed a solid 29% increase from 2023 to 2024. Interest in Data Lake architectures rose 59%, while the much older Data Warehouse held steady, with a 0.3% Its worth understanding the connection between data engineering, data lakes, and data lakehouses.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

The solution had to adhere to compliance, privacy, and ethics regulations and brand standards and use existing compliance-approved responses without additional summarization. It was important for Principal to maintain fine-grained access controls and make sure all data and sources remained secure within its environment.