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

AltexSoft

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? Let’s discuss and compare them to avoid misconceptions.

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AI’s Impact on Data Engineering Careers

Ascend.io

Data engineering is the backbone of any data-driven organization, responsible for building and maintaining the infrastructure that supports data collection, storage, and analysis. Traditionally, data engineers have focused on the technical aspects of data management, ensuring data pipelines run smoothly and efficiently.

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Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

Knowledge Hut

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

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Introducing the 2019 Data Heroes – EMEA!

Cloudera

The Data Heroes initiative is one of the ways that we recognize customers who achieve outstanding results with Cloudera technologies. The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data.

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Enabling Data Mesh Principles for Organizational Agility

Snowflake

How Roche is putting data mesh principles into action Roche Diagnostics, the Swiss multinational healthcare organization, was relying on legacy data architectures that were prone to bottlenecks, slow release cycles, massive engineering pipelines, and frequent data siloing.

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Azure Synapse vs Databricks: 2023 Comparison Guide

Knowledge Hut

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering.