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Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

Within this article, we will explore the significance of these pipelines and utilise robust tools such as Apache Kafka and Spark to manage vast streams of data efficiently. Apache Kafka Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications.

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Apache Kafka use cases: Driving innovation across diverse industries

IBM Journey to AI blog

Apache Kafka is an open-source , distributed streaming platform that allows developers to build real-time, event-driven applications. With Apache Kafka, developers can build applications that continuously use streaming data records and deliver real-time experiences to users. How does Apache Kafka work?

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Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

Clusters : Clusters are groups of interconnected nodes that work together to process and store data. Clustering allows for improved performance and fault tolerance as tasks can be distributed across nodes. Each node is capable of processing and storing data independently.

Big Data 195
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The winning combination for real-time insights: Messaging and event-driven architecture

IBM Journey to AI blog

However, IBM MQ and Apache Kafka can sometimes be viewed as competitors, taking each other on in terms of speed, availability, cost and skills. MQ and Apache Kafka: Teammates Simply put, they are different technologies with different strengths, albeit often perceived to be quite similar. Interested in learning more?

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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning Blog

Using Amazon Redshift ML for anomaly detection Amazon Redshift ML makes it easy to create, train, and apply machine learning models using familiar SQL commands in Amazon Redshift data warehouses. To start using CloudWatch anomaly detection, you first must ingest data into CloudWatch and then enable anomaly detection on the log group.

AWS 94
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Pictures and Highlights from ODSC Europe 2023

ODSC - Open Data Science

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes. Here are some highlights from ODSC Europe 2023, including some pictures of speakers and attendees, popular talks, and a summary of what kept people busy.

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Top Big Data Interview Questions for 2025

Pickl AI

What is Apache Hive? Hive is a data warehouse tool built on Hadoop that enables SQL-like querying to analyse large datasets. YARN (Yet Another Resource Negotiator) manages resources and schedules jobs in a Hadoop cluster. Popular storage, processing, and data movement tools include Hadoop, Apache Spark, Hive, Kafka, and Flume.