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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. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly. Apache HBase came in 2007, and Apache Cassandra came in 2008.

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Data News — Week 24.16

Christophe Blefari

AI News 🤖 When do models get the same hype as 2007 iPhone release? How we build Slack AI to be secure and private — How Slack uses VPC and Amazon SageMaker with your data secured and private. The conclusion look like a great summary for me: For less than 2TBs > use DuckDB, Polars, DataFusion or Arrow backed projects.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

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Big Data Timeline- Series of Big Data Evolution

ProjectPro

"Big data is at the foundation of all of the megatrends that are happening today, from social to mobile to the cloud to gaming."- ”- Atul Butte, Stanford With the big data hype all around, it is the fuel of the 21 st century that is driving all that we do. .”- said Chris Lynch, the ex CEO of Vertica.

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10 Real World Data Science Case Studies Projects with Example

ProjectPro

The Walmart Labs team heavily invests in building and managing technologies like cloud, data, DevOps, infrastructure, and security. Walmart has been leveraging Big data and advances in data science to build solutions to enhance, optimize and customize the shopping experience and serve their customers in a better way.

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Apache Hadoop turns 10: The Rise and Glory of Hadoop

ProjectPro

Ten years ago nobody was aware that an open source technology, like Apache Hadoop will fire a revolution in the world of big data. Although we might be a bit late but it is still worth wishing the poster child for big data analytics - a belated Happy Birthday! ’ was released on 4 September 2007.

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Kafka vs RabbitMQ - A Head-to-Head Comparison for 2023

ProjectPro

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka - Which one is a better message broker? Table of Contents Kafka vs. RabbitMQ - An Overview What is RabbitMQ?

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