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Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

It is difficult to stay up-to-date with the latest developments in IT industry especially in a fast growing area like big data where new big data companies, products and services pop up daily. With the explosion of Big Data, Big data analytics companies are rising above the rest to dominate the market.

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Industry Interview Series- How Big Data is Transforming Business Intelligence?

ProjectPro

Business Intelligence (BI) combines human knowledge, technologies like distributed computing, and Artificial Intelligence, and big data analytics to augment business decisions for driving enterprise’s success. It replaced its traditional BI structure by integrating big data and Hadoop."-April So what is BI?

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

ProjectPro

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline? What is a Big Data Pipeline?

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Top 50 Hadoop Interview Questions for 2023

ProjectPro

IT organizations from various domains are investing in big data technologies, increasing the demand for technically competent Hadoop developers. To build career as a Hadoop developer, one must be clear with Hadoop concepts and have a working knowledge of analysing data using MapReduce, Hive and Pig.

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Top 10 Industries using Big Data and 121 companies who hire Hadoop Developers

ProjectPro

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Image Credit : hortonworks As per big data industry trends , the hype of Big Data had just begun in 2011.

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Hadoop Ecosystem Components and Its Architecture

ProjectPro

The basic principle of working behind Apache Hadoop is to break up unstructured data and distribute it into many parts for concurrent data analysis. Big data applications using Apache Hadoop continue to run even if any of the individual cluster or server fails owing to the robust and stable nature of Hadoop.

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