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Spark vs Hive - What's the Difference

ProjectPro

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. The above figure shows the common elements present in the architecture.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Also, explore other alternatives like Apache Hadoop and Spark RDD.

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How to Become a Big Data Engineer in 2023

ProjectPro

The key responsibilities are deploying machine learning and statistical models , resolving data ambiguities, and managing of data pipelines. Big Data Engineer identifies the internal and external data sources to gather valid data sets and deals with multiple cloud computing environments.

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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. What is Data Engineering? Why do companies hire a Data Engineer?

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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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Is Data Science Hard to Learn? (Answer: NO!)

ProjectPro

” Are you a data science enthusiast who believes data science is hard and keeps thinking about such questions? First, we will present you with interesting facts about data science to justify the hype around the exciting domain of data science. Table of Contents Is Data Science Hard to learn?

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Top 20 Data Analytics Projects for Students to Practice in 2023

ProjectPro

Here is the list of key technical skills required for analytics job roles which can also be acquired by students or professionals from a non- technical background - SQL : Structured Query Language is required to query data present in databases. Even data that has to be filtered, will have to be stored in an updated location.