Apache Kafka Clustering Data Engineering 
Analytics Vidhya
DECEMBER 30, 2022
The post Introduction to Apache Kafka: Fundamentals and Working appeared first on Analytics Vidhya. Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon?
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Data Science Dojo
JULY 24, 2023
They allow data processing tasks to be distributed across multiple machines, enabling parallel processing and scalability. It involves various technologies and techniques that enable efficient data processing and retrieval. Stay tuned for an insightful exploration into the world of Big Data Engineering with Distributed Systems!
Dataconomy
FEBRUARY 23, 2023
Data engineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. What is data engineering?
Pickl AI
NOVEMBER 4, 2024
Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?
Mlearning.ai
MAY 16, 2023
Data engineering is a rapidly growing field that designs and develops systems that process and manage large amounts of data. There are various architectural design patterns in data engineering that are used to solve different data-related problems.
AWS Machine Learning Blog
OCTOBER 9, 2024
With ML-powered anomaly detection, customers can find outliers in their data without the need for manual analysis, custom development, or ML domain expertise. Using Amazon Glue Data Quality for anomaly detection Data engineers and analysts can use AWS Glue Data Quality to measure and monitor their data.
Expert insights. Personalized for you.
315 
Let's personalize your content