Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

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Big Data Big Data Apache Hadoop Data Science 147

Analytics Vidhya

APRIL 28, 2023

Introduction Apache Kafka is an open-source publish-subscribe messaging application initially developed by LinkedIn in early 2011. It is a famous Scala-coded data processing tool that offers low latency, extensive throughput, and a unified platform to handle the data in real-time.

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Data Science Blog

JUNE 27, 2023

Big Data Analytics stands apart from conventional data processing in its fundamental nature. In the realm of Big Data, there are two prominent architectural concepts that perplex companies embarking on the construction or restructuring of their Big Data platform: Lambda architecture or Kappa architecture.

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Big Data Big Data Apache Kafka Database 130

AWS Machine Learning Blog

JULY 15, 2024

in Mechanical Engineering from the University of Notre Dame. Max Goff is a data scientist/data engineer with over 30 years of software development experience. Cloud Engineer specializing in developing cloud native solutions and automation. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud.

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AWS ML ML Big Data 115

AWS Machine Learning Blog

APRIL 19, 2023

It’s easy to learn Flink if you have ever worked with a database or SQL-like system by remaining ANSI-SQL 2011 compliant. Apart from SQL, we can build Java and Scala applications in Amazon Kinesis Data Analytics using open-source libraries based on Apache Flink. Prabhakar holds six AWS and six other professional certifications.

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ML ML Apache Kafka SQL 88

Pickl AI

MARCH 13, 2025

RabbitMQ ensures reliable, structured message delivery, while Kafka excels in real-time, high-volume data streaming. Choosing between them depends on your systems needsRabbitMQ is best for workflows, while Kafka is ideal for event-driven architectures and big data processing. Thats where message brokers come in.

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Apache Kafka Big Data Big Data Data Pipeline 52