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Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

They identify business problems and opportunities to enhance the practices, processes, and systems within an organization. Using Big Data, they provide technical solutions and insights that can help achieve business goals. They identify gaps in their existing processes and leverage available data for the growth of the business.

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How to Become a Big Data Engineer in 2023

ProjectPro

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

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Understanding the 4 Fundamental Components of Big Data Ecosystem

U-Next

The fast development of digital technologies, IoT goods and connectivity platforms, social networking apps, video, audio, and geolocation services has created the potential for massive amounts of data to be collected/accumulated. However, storing this data on the standard systems we have been using for almost 40 years is impossible.

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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. This big data project discusses IoT architecture with a sample use case.

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A Beginner’s Guide to Learning PySpark for Big Data Processing

ProjectPro

PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. Another reason to use PySpark is that it has the benefit of being able to scale to far more giant data sets compared to the Python Pandas library.

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Top Big Data Hadoop Projects for Practice with Source Code

ProjectPro

There are various kinds of hadoop projects that professionals can choose to work on which can be around data collection and aggregation, data processing, data transformation or visualization. Learn to build a music recommendation system using Collaborative Filtering method.

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