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Shanoj

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Stream Processing with Apache Flink & Pyflink: A Comprehensive Guide

Stream Processing with Apache Flink & Pyflink: A Comprehensive Guide

A comprehensive guide to Apache Flink, covering basics, advanced topics, and practical examples for real-time data processing applications.

2023

Stories

Distributed Systems Design Pattern: Temporal Decoupling — [E-commerce Promotions & Order…

In distributed e-commerce systems, managing accurate inventory and pricing data is crucial, especially during dynamic promotional events…

1d ago

Distributed Systems Design Pattern: Temporal Decoupling — [E-commerce Promotions & Order…

1d ago

Published in
Stackademic

How Do RNNs Handle Sequential Data Using Backpropagation Through Time?

Recurrent Neural Networks (RNNs) are essential for processing sequential data, but the true power of RNNs lies in their ability to learn…

Nov 21

How Do RNNs Handle Sequential Data Using Backpropagation Through Time?

Nov 21

Published in
Stackademic

Can We Solve Sentiment Analysis with ANN, or Do We Need to Transition to RNN?

Sentiment analysis involves determining the sentiment of textual data, such as classifying whether a review is positive or negative. At…

Nov 20

Can We Solve Sentiment Analysis with ANN, or Do We Need to Transition to RNN?

Nov 20

Published in
Stackademic

Distributed Systems Design Pattern: Version Vector for Conflict Resolution — [Supply Chain Use…

In distributed supply chain systems, maintaining accurate inventory data across multiple locations is crucial. When inventory records are…

Nov 14

Distributed Systems Design Pattern: Version Vector for Conflict Resolution — [Supply Chain Use…

Nov 14

Published in
Stackademic

Distributed Systems Design Pattern: Quorum-Based Reads & Writes — [Healthcare Records…

The Quorum-Based Reads and Writes pattern is an essential solution in distributed systems for maintaining data consistency, particularly…

Nov 11

Distributed Systems Design Pattern: Quorum-Based Reads & Writes — [Healthcare Records…

Nov 11

Published in
Stackademic

ML Algorithms for Clustering: K-Means, Hierarchical, & DBSCAN

Clustering algorithms are essential for data analysis and serve as a fundamental tool in areas such as customer segmentation, image…

Nov 8

ML Algorithms for Clustering: K-Means, Hierarchical, & DBSCAN

Nov 8

Published in
Stackademic

Distributed Systems Design Pattern: Fixed Partitions [Retail Banking’s Account Management &…

In retail banking, where high-frequency activities like customer account management and transaction processing are essential, maintaining…

Oct 30

Distributed Systems Design Pattern: Fixed Partitions [Retail Banking’s Account Management &…

Oct 30

Published in
Stackademic

Distributed Systems Design Pattern: Consistent Core [Insurance Use Case]

In the insurance industry, managing large volumes of data and critical operations such as policy management, claims processing, and premium…

Oct 23

Distributed Systems Design Pattern: Consistent Core [Insurance Use Case]

Oct 23

Published in
Stackademic

Distributed Systems Design Pattern: Request Waiting List [Capital Markets Use Case]

Problem Statement:

Oct 21

Distributed Systems Design Pattern: Request Waiting List [Capital Markets Use Case]

Oct 21

Published in
Stackademic

Distributed Systems Design Pattern: Clock-Bound Wait with Banking Use Case

In distributed banking systems, ensuring data consistency across multiple nodes is critical, especially when transactions are processed…

Oct 2

Distributed Systems Design Pattern: Clock-Bound Wait with Banking Use Case

Oct 2

Shanoj

Shanoj

Book Author

Shanoj is a seasoned Solutions Architect with a wealth of experience delivering business value and actionable insights through well-architected data products.

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