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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

Each of these technologies has its own strengths and weaknesses, but all of them can be used to gain insights from large data sets. As organizations continue to generate more and more data, big data technologies will become increasingly essential. Let's explore the technologies available for big data.

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What is Data Engineering? Skills, Tools, and Certifications

Cloud Academy

Some basic real-world examples are: Relational, SQL database: e.g. Microsoft SQL Server Document-oriented database: MongoDB (classified as NoSQL) The Basics of Data Management, Data Manipulation and Data Modeling This learning path focuses on common data formats and interfaces.

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Top 10 MongoDB Career Options in 2024 [Job Opportunities]

Knowledge Hut

Interested in NoSQL databases? MongoDB Careers: Overview MongoDB is one of the leading NoSQL database solutions and generates a lot of demand for experts in different fields. During the era of big data and real-time analytics, businesses face challenges, and the need for skilled MongoDB professionals has grown to an order of magnitude.

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Top 10 Hadoop Tools to Learn in Big Data Career 2024

Knowledge Hut

Since Hadoop tools make it easy for organizations to deal with massive amounts of data, they can manage the task internally without outsourcing it to external specialists. By leveraging Big Data certification by KnowledgeHut, you can strengthen your big data understanding to further advance your career.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

After all, data engineer skills are required to collect data, transform it appropriately, and make it accessible to data scientists. Moreover, the number of data engineer jobs continues to grow this year, with data engineer skills being prioritized. Who are Data Engineers? What do Data Engineers Do?

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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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Azure Data Engineer Job Description [Roles and Responsibilities]

Knowledge Hut

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company.