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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. In this blog post, we will discuss such technologies. This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies.

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Data Analytics Engineer- Is It Worth Pursuing in 2023?

ProjectPro

Becoming a data analytics engineer can be a confusing career choice as it is relatively new in the industry. This blog discusses the skill requirements, roles and responsibilities, and salary outlook for a data analytics engineer to help you make the right decision.

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5 Apache Spark Best Practices

Data Science Blog: Data Engineering

Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner.

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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Source: Image uploaded by Tawfik Borgi on (researchgate.net) So, what is the first step towards leveraging data? 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.

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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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7 Best Apache Spark Books for Beginners and Experts 2023

ProjectPro

Whether you're looking to expand your knowledge or get a head start on a big data project, our blog has got you covered. It also covers core concepts, including in-memory caching, interactive shells, Spark RDDs, and distributed datasets. It guides you through the Analytics with Spark process from beginning to end.

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Optimizing Cloudera Data Engineering Autoscaling Performance

Cloudera

Traditional scheduling solutions used in big data tools come with several drawbacks. The tests ran for 3 hours on a 1 TB TPC-DS dataset queried from Hive. In future blogs we will explore larger scale tests to profile the performance and efficiency benefits at 500+ nodes.