Introduction Neo4j, a leader in the realm of graph databases, has continuously evolved to meet the growing demands of modern data processing and analysis. In 2023, Neo4j stands as not just a database but a comprehensive platform for graph-based data...

Introduction The Data Mesh paradigm emerged as a response to the challenges posed by monolithic and centralized data architectures in large-scale, complex organizations. By promoting domain-oriented decentralized data architectures, Data Mesh addresses the scalability issues inherent in the centralized data...

Introduction Continuous Integration and Continuous Deployment (CI/CD) serve as the backbone of modern data engineering, enabling seamless and reliable data pipelines. This article embarks on an extensive exploration of CI/CD implementation, employing Azure DevOps, dbt, Airflow (via Cloud Composer), Google...

Introduction The realm of Data Science continues to expand with the advent of cutting-edge technologies and methodologies. The year 2023 has seen remarkable growth and evolution in data-driven practices, paving the way for businesses and professionals to unlock untapped potential....