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Wizeline and Ascend.io Join Forces to Unleash AI-Powered Data Automation

Ascend.io

to bring its cutting-edge automation platform that revolutionizes modern data engineering. . “This partnership is poised to tackle some of the biggest challenges faced by data executives today, including cost optimization, risk management, and accelerating the adoption of new technologies.”

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Power BI Developer Roles and Responsibilities [2023 Updated]

Knowledge Hut

The work of a Power BI developer is to take data in its raw form, derive meaning, and make sense of it. They dissect data to see patterns, trends, outliers, etc., using business intelligence tools and collaborate with the technology team and developers to build effective solutions. What Makes a Good Power BI Developer?

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DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

A DataOps architecture is the structural foundation that supports the implementation of DataOps principles within an organization. It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. As a result, they can be slow, inefficient, and prone to errors.

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The Symbiotic Relationship Between AI and Data Engineering

Ascend.io

The rise of generative AI is changing more than just technology; it’s reshaping our professional landscapes — and yes, data engineering is directly experiencing the impact. How does AI recalibrate the workload and priorities of data teams? ChatGPT screenshot of AI-generated Python code and an explanation of what it means.

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Data Governance: Framework, Tools, Principles, Benefits

Knowledge Hut

It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements. The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access.

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Data Governance: Concept, Models, Framework, Tools, and Implementation Best Practices

AltexSoft

Data integrity is about maintaining the quality of data as it is stored, converted, transmitted, and displayed. Learn more about data integrity in our dedicated article. Learn how data is prepared for machine learning in our dedicated video. We’ve rounded up the key elements of a data governance framework.

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The Ultimate Modern Data Stack Migration Guide

phData: Data Engineering

Yet, those that do achieve this level of maturity from their data stack are able to unlock breakthrough successes while leaving competitors years behind in innovation. Perhaps the largest roadblock of this data-driven utopia is the continued reliance on a patchwork of legacy, on-premise technologies like Teradata, Netezza, Oracle, etc.,