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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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Top Data Science Jobs for Freshers You Should Know

Knowledge Hut

BI developers must use cloud-based platforms to design, prototype, and manage complex data. To pursue a career in BI development, one must have a strong understanding of data mining, data warehouse design, and SQL. Roles and Responsibilities Write data collection and processing procedures.

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in Data Mining and Data Warehouse Design. Using SQL queries, they design, code, test, and aggregate the results to generate insights.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer. You can start as a software engineer, business intelligence analyst, data architect, solutions architect, or machine learning engineer. You can also post your work on your LinkedIn profile.

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What is the Microsoft Azure Certification Path?

Knowledge Hut

The exam will include areas like designing and implementing database solutions for Microsoft Azure SQL server and Microsoft SQL Database, designing for scalability, high availability, and disaster recovery, managing and monitoring Azure’s database implementations, and designing and implementing security.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

Big Data is a part of this umbrella term, which encompasses Data Warehousing and Business Intelligence as well. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. They construct pipelines to collect and transform data from many sources.