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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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How to become Azure Data Engineer I Edureka

Edureka

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

Big Data Engineer/Data Architect With the growth of Big Data, the demand for Data Architects has also increased rapidly. Data Architects, or Big Data Engineers, ensure the data availability and quality for Data Scientists and Data Analysts.

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Hadoop Salary: A Complete Guide from Beginners to Advance

Knowledge Hut

An expert who uses the Hadoop environment to design, create, and deploy Big Data solutions is known as a Hadoop Developer. They are skilled in working with tools like MapReduce, Hive, and HBase to manage and process huge datasets, and they are proficient in programming languages like Java and Python.

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Azure Data Engineer Certification Path (DP-203): 2023 Roadmap

Knowledge Hut

When designing, constructing, maintaining, and troubleshooting data pipelines that transfer data from its source to the proper storage place and make it accessible for analysis and reporting, we collaborate with data architects and data scientists. Different techniques are employed to store various kinds of data.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

They construct pipelines to collect and transform data from many sources. A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes.

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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. Organizations can harness the power of the cloud, easily scaling resources up or down to meet their evolving data processing demands.