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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 a Data Engineer in 2024?

Knowledge Hut

You can refer to the following links to learn about Hadoop: Introduction to Apache Hadoop Big Data and Analytics by IBM Introduction to Hadoop Ecosystem 7. SQL Database SQL or Structured Query Language is a programming language that allows a user to store, query, and manipulate data in relational database management systems.

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Reflections on Event Streaming as Confluent Turns Five – Part 2

Confluent

When I was a younger developer (well, when I was a younger developer, I was writing firmware on small microcontrollers whose “database” consisted of 200 bytes of RAM, but stick with me here)—relational databases had only recently become mature and stable data infrastructure platforms.

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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.

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Recap of Hadoop News for March

ProjectPro

NetworkAsia.net Hadoop is emerging as the framework of choice while dealing with big data. It can no longer be classified as a specialized skill, rather it has to become the enterprise data hub of choice and relational database to deliver on its promise of being the go to technology for Big Data Analytics.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

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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. Whether your data is structured, like traditional relational databases, or unstructured, such as textual data, images, or log files, Azure Synapse can manage it effectively.