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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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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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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

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Schemas, Contracts, and Compatibility

Confluent

If you evaluate architectures by how easy they are to extend, then this architecture gets an A+. Real-world architectures involve more than just microservices. There are databases, document stores, data files, NoSQL and ETL processes involved. Gwen Shapira is a software engineer on the Core Kafka Team at Confluent.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

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14 Best Database Certifications in 2023 to Boost Your Career

Knowledge Hut

Over the past decade, the IT world transformed with a data revolution. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it. Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled.

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100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Read more for a detailed comparison between data scientists and data engineers. How is a data architect different from a data engineer? Data architect Data engineers Data architects visualize and conceptualize data frameworks.