
Explore BTP's Chronicle product for recording immutable provenance on distributed ledgers, built with open-source technologies like Hyperledger Sawtooth and PROV-O. Includes demo and insights into BTP's journey.

Discover strategies to eliminate bad data at the source, improve data quality ownership, and enhance observability in Analytics/ML stacks. Learn from experts in data engineering and product management.

Explore open standards in MLOps for easier data system integration, scalability, and collaboration. Learn about Ibis, Apache Arrow, and their impact on data engineering and machine learning workflows.

Explore the potential of Long-Context Language Models to replace traditional methods like retrieval, RAG, and SQL. Dive into recent research and engage in critical discussions about LCLMs' capabilities and limitations.

Create ML pipelines with Azure Machine Learning Studio's Python SDK for efficient data science and machine learning workflows on Azure.

Explore declarative networking in OpenShift using NMState Operator. Learn to manage complex host network topologies safely and efficiently in Kubernetes environments.

Explore offline enterprise knowledge management solutions using GraphQL, Rust, Solr, and Podman to create a portable, self-contained customer portal for accessing critical content in disconnected environments.

Explore schema-first API development through Pyxis' evolution from REST to GraphQL. Learn about modular architecture, automation, and maintaining high-traffic APIs without service interruptions.

Streamline DNS management with GitOps, Ansible, and NS1. Learn Red Hat IT's approach to efficiently handling massive records and zones, enhancing visibility, and meeting compliance requirements.

Master CMake for C++ projects: learn to set up builds, integrate unsupported libraries, and efficiently handle embedded SQL preprocessing in a case study on building a database application.

Explore C++ parser generation with Maphoon, covering tokenizing, AST building, and LALR parsing. Learn flexible, efficient techniques for modern C++ parsing and compiler construction.

Explore bottom-up parsing and tokenizing in C++ using Maphoon. Learn to generate efficient parsers, handle errors, and create Abstract Syntax Trees for compiler construction.

Explore compile-time parsers in C++ for expressive APIs and DSLs. Learn techniques, compare libraries, and discover applications in regular expressions, parser generators, and reflection features.

Explore PostgreSQL extensibility with Rust using pgrx. Build, test, and deploy a real extension. Learn how custom extensions can simplify legacy code and improve query performance.

Explore code generation in Go for improved patterns and developer experience. Learn to automate telemetry, decorators, ORMs, and schema-first approaches without increasing complexity or runtime errors.

Enhance RDBMS productivity in Go using SQL-first approach. Learn to integrate dbmate, sqlc, and testcontainers for efficient database management, type safety, and automated testing.

Explore cloud-based VST parameter storage using AWS Amplify, GraphQL, and Cognito. Learn to create a serverless project for accessing and sharing audio settings across devices.

Develop AI agents for natural language database interactions, enabling efficient data querying and analysis without advanced SQL knowledge.

Explore challenges and solutions in evaluating large-scale machine learning systems, including federated networks and large language models. Gain insights into reliable assessment methods.

Comprehensive comparison of popular markup languages for technical documentation, exploring their strengths, weaknesses, and use cases to help choose the right tool for your project.

Explore interpretable machine learning with rulelists and rulesets. Learn hands-on use cases using 'imodels' and 'tidyrules' packages, and discover how to convert rulesets to SQL for production.