Data Architect Data Warehouse ETL Tools SQL 
Knowledge Hut
MARCH 28, 2024
Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB. Education & Skills Required Proficiency in SQL, Python, or other programming languages. Develop predictive models and data-driven solutions to address business challenges.
Knowledge Hut
DECEMBER 26, 2023
Certain roles like Data Scientists require a good knowledge of coding compared to other roles. Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required.
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ProjectPro
FEBRUARY 8, 2023
ETL stands for Extract, Transform, and Load, which involves extracting data from various sources, transforming the data into a format suitable for analysis, and loading the data into a destination system such as a data warehouse. ETL developers play a significant role in performing all these tasks.
Knowledge Hut
MARCH 13, 2024
Technical expertise: Big data engineers should be thorough in their knowledge of technical fields such as programming languages, such as Java and Python, database management tools like SQL, frameworks like Hadoop, and machine learning. Thus, the role demands prior experience in handling large volumes of data.
Knowledge Hut
MARCH 13, 2024
Technical expertise Big data engineers should be thorough in their knowledge of technical fields such as programming languages, such as Java and Python, database management tools like SQL, frameworks like Hadoop, and machine learning. Thus, the role demands prior experience in handling large volumes of data.
Knowledge Hut
SEPTEMBER 26, 2023
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. ETL activities are also the responsibility of data engineers.
Knowledge Hut
MAY 3, 2023
On the other hand, data analysts concentrate on evaluating data to draw conclusions that can be utilized to create data-driven decisions. They gather, purify, and manipulate data before using tools like SQL, Excel, and Tableau to analyze and visualize it.
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