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Most Common Use Cases of Data Engineering in Healthcare

phData: Data Engineering

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. However, data collection and analysis have been commonplace in the healthcare sector for ages. Data Engineering in day-to-day hospital administration can help with better decision-making and patient diagnosis/prognosis.

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Choose Compliance, Choose Hybrid Cloud

Cloudera

Companies doing business with Europe need to be aware of their legal obligations — most notably the General Data Protection Regulation (GDPR) — even if they are based elsewhere. There are many reasons to deploy a hybrid cloud architecture — not least cost, performance, reliability, security, and control of infrastructure.

Cloud 102
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2024 Governance Trends for Data Leaders

phData: Data Engineering

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. Iterative development with the MVP for key business domains, e.g., finance, maybe a good starting point.

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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 establishes a data efficiency center of excellence focused on AI & Automation tooling alongside best practices to ensure organizations maximize their data ROI. “Our collaboration with Ascend.io

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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

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Chose Both: Data Fabric and Data Lakehouse

Cloudera

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric.

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Enabling Data Mesh Principles for Organizational Agility

Snowflake

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. How, then, are modern data teams finding success with the data mesh?