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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies.

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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer. To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases.

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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

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

Knowledge Hut

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. is the responsibility of data engineers.

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

AltexSoft

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. The candidates for this certification should be able to transform, integrate and consolidate both structured and unstructured data.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning.

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

A powerful Big Data tool, Apache Hadoop alone is far from being almighty. MapReduce performs batch processing only and doesn’t fit time-sensitive data or real-time analytics jobs. Main users of Hive are data analysts who work with structured data stored in the HDFS or HBase. Hadoop limitations.