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Walmart Global Tech Blog
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How to Determine Causal Effects when A/B Tests are Infeasible through Adopter Analysis
How to Determine Causal Effects when A/B Tests are Infeasible through Adopter Analysis
Tags: #DataScience #CausalInference #DifferenceinDifference #Matching #MatchedDiD #PropensityScoreMatching
Avanti Chande
Apr 19
Doing Collaborative Research and Design in Emerging Tech to Innovate for Walmart’s Customers
Doing Collaborative Research and Design in Emerging Tech to Innovate for Walmart’s Customers
An Approach from Award-Winning Teams
Stephanie Gannon
Apr 12
Automated Input Data Distribution In a Multinode Workflow
Automated Input Data Distribution In a Multinode Workflow
Authors: Sandesh Balakrishna | Mohsin Kaleem
Sandesh Balakrishna
Apr 1
Empowering Women in Cybersecurity
Empowering Women in Cybersecurity
In March, we come together to celebrate Women’s History Month, a time dedicated to honoring the remarkable historical, cultural, political…
Neha Sherkhane
Mar 25
Resiliency in Spring Reactive Applications
Resiliency in Spring Reactive Applications
In the ever-evolving landscape of software development, the spotlight often shines on the functional features and capabilities of a new…
Manvendra Kumar
Mar 14
Transforming Text Classification with Semantic Search Techniques — Faiss
Transforming Text Classification with Semantic Search Techniques — Faiss
Classification models serve as supervised tools for organising documents into specific categories. Semantic search emerges as a practical…
Harika Samala
Mar 13
Building Walmart’s Seamless Communication: Leveraging Kafka’s Custom Partitioning
Building Walmart’s Seamless Communication: Leveraging Kafka’s Custom Partitioning
Thejasvini K S, Indranath Bardhan, Priyanka Sahoo and Communication Service Team
Rajesh Kumar Sahu
Mar 12
NewBot Loader
NewBot Loader
By: Jason Reaves and Joshua Platt
Jason Reaves
Mar 12
Performance measurement for native apps
Performance measurement for native apps
Author: Supriyo Mondal
Midhunlal M
Mar 8
Smarter Standups: Harness the Power of Slackbot and Jira Integration
Smarter Standups: Harness the Power of Slackbot and Jira Integration
In our last blog, we learned how to set up a Slack bot using Bolt, the Slack library for building Slack apps with node.js. In this…
Aakanksha
Mar 8
Augmentation Techniques for Imbalanced text Classification
Augmentation Techniques for Imbalanced text Classification
Authors: Uruj Fatima, Deepak Singla, Subhadip Paul
Uruj Fatima
Mar 6
Unknown Nim Loader using PSBypassCLM
Unknown Nim Loader using PSBypassCLM
By: Jason Reaves and Joshua Platt
Jason Reaves
Mar 5
Designing Microservices Using Database Per Service and Saga Patterns
Designing Microservices Using Database Per Service and Saga Patterns
The Microservices pattern has been the hype among developers for quite some time now, all because of its robustness and simplicity. It has…
Piyush Shrivastava
Mar 1
Fundamentals of Causal Discovery and Causal Impact Analysis
Fundamentals of Causal Discovery and Causal Impact Analysis
Why Causal Analysis?
Prasun Biswas
Mar 1
Mastering Page Load Time: Essential Strategies for iOS App Optimisation
Mastering Page Load Time: Essential Strategies for iOS App Optimisation
Have you ever opened a page in an app and waited for what seemed like an eternity for the content to appear? If so, you are not alone. Many…
Pooja krishna
Feb 29
Cognitive Biases in E-Commerce: How to Identify and Mitigate Their Influence - Part 2
Cognitive Biases in E-Commerce: How to Identify and Mitigate Their Influence - Part 2
In the previous article of this series on cognitive biases in ecommerce, we looked at anchorage bias, confirmation bias, availability…
Robin Tharayil
Feb 29
Cognitive Biases in E-Commerce: How to Identify and Mitigate Their Influence -Part 1
Cognitive Biases in E-Commerce: How to Identify and Mitigate Their Influence -Part 1
Cognitive biases can be defined as a set of predictable cognitive errors that arise from our inability to process data in an objective and…
Robin Tharayil
Feb 29
Lazy Loading using Intersection Observer
Lazy Loading using Intersection Observer
BASICS:
Sagar Bhatnagar
Feb 29
Azure Cosmos for MongoDB Optimization Techniques
Azure Cosmos for MongoDB Optimization Techniques
Table of Contents
Shriganesh bhat
Feb 20
Chronicles of Controlled Chaos: Crafting Bulkhead Carnival with Concurrency in Kotlin
Chronicles of Controlled Chaos: Crafting Bulkhead Carnival with Concurrency in Kotlin
In the thrilling world of software architecture and concurrency, we often find ourselves juggling between the urge to maximise efficiency…
Mainak Banerjee
Jan 31
Chaos Engineering- Chaos Toolkit- S1E4- Chaos Monkey
Chaos Engineering- Chaos Toolkit- S1E4- Chaos Monkey
This episode will be an extension to the toxiproxy S1E3. Chaos Monkey can also be used to inject latency, fault and kill application. We…
Kishore Kumar Naidu
Jan 29
Chaos Engineering- Chaos Toolkit- S1E3- Toxiproxy
Chaos Engineering- Chaos Toolkit- S1E3- Toxiproxy
In this episode we will see a sample experiment on how to inject network level latency in our API calls using a framework called Toxiproxy…
Kishore Kumar Naidu
Jan 29
Chaos Engineering- Chaos Toolkit- S1E2- Pod Kill
Chaos Engineering- Chaos Toolkit- S1E2- Pod Kill
In this episode, we will see a sample experiment on how to kill a pod in Kubernetes cluster. If you have not seen the introduction on Chaos…
Kishore Kumar Naidu
Jan 28
Chaos Engineering- Chaos Toolkit- S1E1- Introduction
Chaos Engineering- Chaos Toolkit- S1E1- Introduction
This is going to be a series of articles on the principles of Chaos Engineering. What is Chaos Engineering, why do we need it, ways to…
Kishore Kumar Naidu
Jan 28
Ensuring Reliability: Unit Testing Kafka Streaming with Scala Spark Code
Ensuring Reliability: Unit Testing Kafka Streaming with Scala Spark Code
In the dynamic realm of Kafka streaming, where data flows like a river, ensuring the reliability and functionality of your Kafka streams is…
Sundar Anand
Jan 25
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