
Explore cost-effective telemetry strategies for modern operations, balancing between blindness and financial constraints through multi-provider solutions and innovative approaches.

Explore efficient and interpretable spatial analysis using multiresolution tensor learning, with applications in geology, sports, and climate science. Discover improved methods for handling complex spatial data.

Discover how Oracle IT reduced costs and improved performance by migrating on-premises databases to Oracle ATP, achieving better security and increased uptime for critical business systems.

Learn to secure sensitive data using Transparent Data Encryption (TDE) at the database storage level, protecting against ransomware and unauthorized access through hands-on exercises and real-world scenarios.

Explore semantic search using NLP and vector databases in this hands-on workshop. Learn to build efficient search applications with practical examples and expert insights.

Explore no-code internal developer portals, covering data models, software catalogs, self-service actions, and scorecards. Learn advanced uses like CI/CD integration in platform engineering.

Explore MLflow and RedisAI integration for efficient deep learning model deployment, featuring multi-framework support, auto-batching, and DAGing capabilities in a reliable runtime environment.

Explore deep learning-based hashing for sequential behavior data, utilizing Spark for large-scale preprocessing and distributed inference on Databricks with Pandas UDF.

Explore Data Mesh fundamentals and how Avanade helps clients adopt a distributed, domain-led approach to improve data modeling, governance, and incremental transformation for faster performance.

Explore database clustering in MySQL and Postgres, including benefits, drawbacks, and implementation across popular databases. Learn about this crucial feature for optimizing data organization and retrieval.

Explore consistent hashing in distributed systems, focusing on its application in databases like Cassandra and DynamoDB. Learn about implementation, advantages, and limitations.

Explore RocksDB Transactions, including isolation levels, snapshots, and future developments in this storage engine designed for high-performance applications.

Learn strategies for scaling high-traffic apps on Parse, including optimizing API requests, database principles, and data modeling techniques to enhance performance and reliability.

Learn to build powerful mobile apps using Parse, covering data sharing, login, push notifications, and cloud integration for a comprehensive development experience.

Explore multilingual semantic search using Cohere's new model, comparing it with OpenAI's GPT 3.5. Learn implementation, data preparation, vector indexing, and query techniques for enhanced search capabilities.

Explore how graph technology enhances large-scale observability, addressing challenges in understanding complex systems and leveraging interconnected data for more effective monitoring and analysis.

Comprehensive introduction and deep dive into Prometheus, covering its role in cloud-native metrics monitoring, recent developments, and addressing audience questions.

Explore deploying PostgreSQL on Kubernetes using Cloud Native PostgreSQL operator and CSI-plugin. Learn about zero/low RTO, replication effects, and object store backups for robust database management.

Explore the history, impact, and inner workings of Prometheus, the popular open-source monitoring system, through interviews with key contributors and users.

Explore recent developments and advancements in the Prometheus ecosystem, focusing on monitoring and observability tools for cloud-native environments.

Explore Raft consensus algorithm implementation in Rust for building distributed systems. Learn to create a simple distributed Key-Value database using Raft in Rust.