The implemented stages of ingestion, preprocessing, EDA, and feature engineering have transitioned to automation and monitoring, forming a cohesive DataOps layer. By introducing orchestration, the independent Glue jobs become an automated, reliable workflow. Testing confirmed successful execution, paving the way for regular automations to enhance operations and insights from data.
This post details the development of a Machine Learning Pipeline for demand forecasting. Utilizing AWS Glue and PySpark, it covers training and evaluating Linear Regression and Random Forest models using an engineered feature dataset. Results show Random Forest slightly outperforms Linear Regression, demonstrating effective model stability and reliability for deployment.
The Feature Engineering stage follows Exploratory Data Analysis, preparing the dataset for machine learning. It generates temporal and statistical features, encodes categorical identifiers, and ensures schema consistency. Implemented in AWS Glue, it enables reproducibility and scalability for model training, enhancing forecasting accuracy by incorporating lag and rolling average features.
The post details enhancements made to a serverless ETL pipeline using AWS Glue and PySpark for retail sales data. Improvements include explicit column type conversions, missing value imputation, normalization of sales data, and integration of logging for observability. These changes aim to create a production-ready, machine-learning-friendly preprocessing layer for effective data analysis.
This project aims to develop a demand forecasting solution for retail using historical sales data from Kaggle. A data pipeline employing AWS Glue and PySpark will preprocess the data by cleaning and splitting it into training and testing sets. The objective is to maximize inventory management and customer satisfaction.
Last weekend, I explored GPU CUDA programming using AWS. Despite initial service quota issues, I successfully launched an EC2 instance equipped with an NVIDIA GPU. After setting up the environment, I compiled and ran a CUDA program, achieving a remarkable speedup of 151 times faster on the GPU compared to the CPU.
The author explores CUDA programming on AWS using an NVIDIA GPU, facing vCPU quota limitations that prevent launching an EC2 instance. After diagnosing the issue, they submitted a request for a quota increase through the Service Quotas console. The experience highlights the importance of checking AWS service limits when setting up GPU instances.
The PDF outlines the evolution of computer generations, highlighting key advancements from vacuum tubes to quantum computing. It covers various architectures, memory systems, and performance concepts, emphasizing the impact of Moore's Law. Additionally, it discusses embedded systems, operating systems roles, and provides case studies on RAM speeds and server requirements for modern workloads.
In this blog, we’ll build a simple distributed file service on AWS. The setup will have two file servers — Server 1 and Server 2.…
Continue reading → Setting Up a Simple Distributed File Service on AWS
Aviation data has always been fascinating. Planes crisscross the globe. Each one sends out tiny bursts of information as it soars through the sky. Thanks…
In today's interconnected world, real-time location tracking plays a crucial role in many industries. These include logistics and fleet management. It is also vital to…
Continue reading → Building a Real-Time GPS Data Processing System on AWS: A Step-by-Step Guide
Hadoop is a powerful framework that enables distributed processing of large datasets. It follows the MapReduce paradigm. Computation is broken down into independent map and…
Continue reading → Set Up a Hadoop Cluster on AWS EMR: A Step-by-Step Guide
The "SignatureDoesNotMatch" error often occurs when uploading files to AWS S3 due to signature mismatches related to secret keys. The author shares a step-by-step guide to troubleshoot this issue, which includes verifying IAM user credentials, configuring access keys, and successfully retrying the upload operation after resolving permissions.
I am using an AWS EC2 instance for all my development works right now. And I am trying to figure out various ways to log…
Continue reading → How to SSH into AWS EC2 using MobaXterm
A step by step guide for AWS beginners to setup their first AWS account to kick start with AWS cloud technology. It's free!
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