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

AltexSoft

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

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How to Become a Data Engineer in 2024?

Knowledge Hut

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

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Machine Learning Engineer vs Data Scientist - The Differences

ProjectPro

Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects Data Scientist vs. Machine Learning Engineer Jobs and Growth Trends From an industry or employment perspective, Data Science is already taking a leap in all domains: IT, Healthcare, Pharma, E-commerce, Finance, etc.