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Brief History of Data Engineering

Jesse Anderson

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Apache Kafka came in 2011 and gave the industry a much better way to move real-time data. Apache Kafka has its architectural limitations, and Apache Pulsar was released in 2016.

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Upgrade your Modern Data Stack

Christophe Blefari

What are the current trends and why are people fighting around the concept of the modern data stack. Last week it was Big Data London , this week it was Big Data & AI Paris. Let's go through the current state of data to understand what you should do next. I wasn't able to go. Something boring.

Big Data 147
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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

The adaptability and technical superiority of such open-source big data projects make them stand out for community use. As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly.

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Global Big Data & Hadoop Developer Salaries Review

ProjectPro

A quick search for the term “learn hadoop” showed up 856,000 results on Google with thousands of blogs, tutorials, big data application demos, online MOOC offering hadoop training and best hadoop books for anyone willing to learn hadoop. will be most sought after in the IT industry than those who work on legacy code.

Hadoop 40
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7 Big Data Conferences You Should Attend in 2023

ProjectPro

Big data and Data Science are among the fastest growing professions in 2016 and there is no better way to stay informed on the latest trends and technologies in the big data space than by attending one of the top big data conferences.

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Big Data Fabric Weaves Together Automation, Scalability, and Intelligence

Cloudera

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

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Emerging Big Data Trends for 2023

ProjectPro

.” said the McKinsey Global Institute (MGI) in its executive overview of last month's report: "The Age of Analytics: Competing in a Data-Driven World." 2016 was an exciting year for big data with organizations developing real-world solutions with big data analytics making a major impact on their bottom line.