Aleksandra.Kulinska

Data Engineering with Apache Cassandra: Building Scalable, Distributed Data Architectures Understanding Apache Cassandra’s Role in Modern data engineering Apache Cassandra serves as a foundational, distributed database layer within modern data architectures, specifically engineered for high-velocity, always-on applications. Its masterless, peer-to-peer design delivers linear scalability and fault tolerance that traditional relational databases cannot achieve. For engineers, […]

MLOps for the Enterprise: Scaling Trustworthy AI with Model Cards and FactSheets The mlops Imperative: Why Governance is Non-Negotiable for Enterprise AI For enterprises, the true value of AI is realized when a prototype transitions to a stable, reliable production system—a phase where risk is magnified without proper oversight. A robust governance framework embedded within

Data Engineering with Apache Hudi: Building Transactional Data Lakes for Real-Time Analytics What is Apache Hudi and Why It’s a Game-Changer for data engineering Apache Hudi (Hadoop Upserts Deletes and Incrementals) is an open-source data management framework that brings database-like transactional capabilities to data lakes. It enables data lake engineering services to evolve from static,

Unlocking Cloud-Native Agility: Building Event-Driven Serverless Microservices The Core Principles of an Event-Driven Serverless cloud solution An event-driven serverless architecture fundamentally decouples application components, enabling them to communicate asynchronously through events. This reactive model ensures functions or services are invoked only in response to specific triggers like database changes, message queue arrivals, or HTTP requests.

From Data to Decisions: Mastering the Art of Data Science Storytelling Why data science Storytelling is Your Most Powerful Tool In data engineering and IT, raw model outputs—accuracy scores, cluster assignments, or forecast arrays—are often indecipherable to stakeholders. True power lies not in the algorithm but in translating its output into a compelling narrative that

Unlocking Cloud-Native Agility: Building Event-Driven Serverless Microservices The Core Principles of Event-Driven Serverless Architecture At its foundation, this architecture decouples application components, allowing them to communicate asynchronously via events. An event is any significant change in state—a file upload, a database update, or an API call. Serverless functions act as the stateless, event-processing units, executing

Data Engineering with Dagster: Building Robust, Testable Data Applications What is Dagster and Why It’s a Game-Changer for data engineering Dagster is an open-source data orchestrator designed for the entire lifecycle of data applications, from local development to production. It introduces a paradigm shift by treating data assets—the datasets, models, or reports that deliver business

Unlocking Cloud-Native Resilience: Building Self-Healing Systems with AI The Pillars of Self-Healing in a cloud solution At its core, a self-healing cloud solution is built upon several foundational pillars that work in concert to detect, diagnose, and remediate issues autonomously. These pillars transform static infrastructure into a dynamic, resilient system capable of maintaining service-level objectives

MLOps for the Modern Stack: Integrating LLMOps into Your Production Pipeline From mlops to LLMOps: The Evolution of the Production Pipeline The core principles of MLOps—versioning, CI/CD, monitoring, and orchestration—remain foundational. However, the unique characteristics of Large Language Models (LLMs) necessitate a significant evolution in the production pipeline. Traditional MLOps focuses on training and deploying

From Data to Decisions: Mastering Causal Inference for Impactful Data Science The Core Challenge: Why Correlation Isn’t Enough in data science When a data science consulting company initiates a project, the first step often involves identifying patterns and correlations within datasets. A classic finding might be a strong statistical relationship between two variables. For instance,