Utilizing AWS SageMaker and Glue to create a fraud detection system using ETL, deep learning, and XGBoost for scalable, efficient, and accurate results.
Learn to optimize React apps by diagnosing re-renders, using React.memo, lazy loading, and advanced strategies like context splitting and list virtualization.
Let's look at how to integrate Redis with message brokers by leveraging Redis as a fast in-memory data store. Redis can work as both a message broker and a data store.
The journey of a cloud incident that transformed fragile Liberty microservices into a resilient, self-healing system that scales effortlessly under load.
API management as code is a declarative approach to managing APIs at scale, providing benefits like automation, consistency, collaboration, and scalability.
Nginx in microservices faces scalability, configuration, and automation challenges. Use Ansible, Prometheus, and CI/CD for better performance and management.
We will explore the importance of eXplanation in fraud detection models and learn how it can help to understand different patterns of fraud in our system.
Grafana Loki is a scalable, cost-efficient log system for cloud-native environments. It uses minimal indexing, compressed storage, and LogQL for fast queries.
Build a scalable ETL pipeline with dbt, Snowflake, and Airflow, and address data engineering challenges with modular architecture, CI/CD, and best practices.
Learn about psychological safety, the foundation of agile teams that innovate, adapt, and deliver while fostering trust, value creation, and resilience.
Improve ETL performance in SSIS with parallel extraction, optimized transformations, and proper configuration of concurrency, batch sizes, and data types.