Building a Control Plane for Data
Explore the concept of a data control plane, its key characteristics, and its role in the deconstructed data stack architecture. Learn from LinkedIn's former Big Data architect.
Building an ML Experimentation Platform for Easy Reproducibility
Learn to build an ML experimentation platform using lakeFS for version control and reproducibility. Explore creating frameworks, reproducing iterations, and building intuitive infrastructure with open-source tools.
Accelerating Enterprise Adoption of AI for Business Impact
Accelerate enterprise AI adoption for business impact. Learn market trends, challenges, and strategies to bridge AI with decision-makers using a universal semantic layer.
CDC Stream Processing with Apache Flink
Explore Apache Flink's capabilities as a data integration hub, focusing on its SQL engine for changelog processing, CDC data handling, and materialized view maintenance. Learn about data source semantics and system integrations.
Change Data Streaming Patterns with Debezium and Apache Flink
Explore change data capture with Debezium and Apache Flink for microservices. Learn outbox pattern, strangler fig pattern, and saga orchestration for reliable data exchange and long-running transactions.
Ten Years of Building Open Source Standards: From Parquet to Arrow to OpenLineage
Explore the journey of building open-source data standards, from Apache Parquet to Arrow to OpenLineage. Gain insights into successful project ideation, growth, and ecosystem impact in data management.
Testing Models and Data in CI/CD Pipelines for Machine Learning
Explore best practices for testing ML models in CI/CD pipelines. Learn to validate models and data using deepchecks, addressing common pitfalls and ensuring continuous relevance and trustworthiness.
Declarative Orchestration: Why You've Been Thinking About the Wrong DAG the Entire Time
Explore declarative, asset-oriented orchestration in data pipelines. Learn how this approach simplifies tasks, ensures data integrity, and implements Data Mesh as a living asset graph.
How Developers Should Think About the Emerging AI Stack
Explore the future of AI development with industry experts. Gain insights on evaluating models, context windows, fine-tuning, and building AI applications for global deployment.
Schema.org - Blueprints for Drupal - Pittsburgh 2023
Explore Schema.org implementation in Drupal for enhanced SEO and structured data. Learn best practices and tools for optimizing web content visibility.
Taxonomists and Taxonomy Governance in Drupal - The Missing Link
Discover the crucial role of taxonomists in Drupal architecture, learn best practices for taxonomy design and governance, and explore effective collaboration strategies.
A Migration Is a Terrible Thing to Waste - A Roadmap for Your Next Big Content Migration
Discover strategies for successful content migration, maximizing opportunities for improvement and optimization during the process.
Deep Data Needs and Challenges in Precision Medicine
Explore deep data challenges in precision medicine, focusing on innovative solutions for healthcare data management and analysis.
Getting Started with Delta Lake on Databricks
Explore Delta Lake's optimized data storage in Databricks, enhancing query performance and enabling time travel while reducing system complexity.
How to Create and Manage Azure Data Factory Using Terraform
Provision and manage Azure Data Factory with Terraform for scalable, serverless data integration and transformation in the cloud.
Redis: In-Memory Database - Introduction and Overview
Learn Redis, the high-performance in-memory data store. Master its versatile features for efficient data management, caching, and message brokering in modern applications.
OWASP Top Ten - Understanding and Mitigating Critical Web Application Security Risks
Explore critical web application security risks, learn to identify and mitigate vulnerabilities, and integrate OWASP ZAP with Selenium for enhanced protection.
Data Validation and Error Accumulation with Scala Cats
Explore Scala Cats' Validated type for robust, composable data validation. Learn to define rules, compose them, and collect results using functional constructs.
Data Profiling and Quality Analysis: Understanding, Assessing, and Enhancing Your Data
Explore essential practices for understanding, assessing, and enhancing data through profiling and quality analysis techniques.
Redis Data Structures and Performance Optimization
Master Redis data structures and optimize performance for efficient in-memory key-value database management and caching.
Techniques for Effective Test Data Management in Test Automation
Master strategies for efficient test data handling in automated testing, enhancing accuracy and streamlining processes.