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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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Data Engineering Annotated Monthly – September 2021

Big Data Tools

PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases. Treating data as a product at Adevinta — Having data is not enough!

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Data Engineering Annotated Monthly – September 2021

Big Data Tools

PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases. Treating data as a product at Adevinta — Having data is not enough!

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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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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

The second step for building etl pipelines is data transformation, which entails converting the raw data into the format required by the end-application. The transformed data is then placed into the destination data warehouse or data lake. It can also be made accessible as an API and distributed to stakeholders.

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. Hadoop hides away the complexities of distributed computing, offering an abstracted API to get direct access to the system’s functionality and its benefits — such as. High latency of data access.