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Dive into intermediate and advanced NoSQL data modeling concepts, including distributed architecture, primary key selection, collections, and avoiding common pitfalls with ScyllaDB expert Guy Shtub.
Discover how to track data updates, stream for analytics, and replicate to other repositories using ScyllaDB's high-throughput database with Apache Kafka's event streaming platform.
Dive into building massive data architectures, exploring technologies like Redshift, Databricks, and BigQuery to handle petabyte-scale data processing and storage challenges effectively. [Hebrew]
Discover NoSQL database fundamentals and ScyllaDB implementation through hands-on demos, basic data modeling, and architectural concepts for building efficient distributed systems.
Discover how modern databases achieve low latency through effective caching strategies and learn when to use external vs. internal cache solutions with datastores.
Master disaster recovery strategies for inevitable cloud regional failures and build resilient multi-region architectures that survive real-world outages.
Discover the fundamentals of event-based analytics tools like Google Analytics and Amplitude, exploring infrastructure, dashboards, and integration with marketing automation platforms.
Master NoSQL data modeling fundamentals through hands-on examples and best practices for building high-performance applications, guided by ScyllaDB's Head of Training.
Master stream processing fundamentals and advanced concepts using Redpanda and Apache Flink, from stateless operations to fault tolerance, followed by hands-on application building and deployment in Java.
Master data denormalization techniques in NoSQL databases, exploring materialized views, indexing strategies, and filtering options for optimal database performance and efficiency.
Discover how to effectively manage data lakes using modern architectures, open table formats, and version control systems through practical examples with Databricks, Apache Iceberg, and AWS technologies.
Master NoSQL fundamentals with ScyllaDB, from basic architecture to data modeling, while learning to set up clusters and execute queries through hands-on demonstrations.
Master advanced NoSQL data modeling techniques, from primary key selection to handling large partitions, collections, and common pitfalls. Learn to optimize database performance and avoid critical design mistakes.
Master Apache Spark's file handling optimization techniques and learn to solve small files performance issues using DataFlint. Explore best practices for storage formats like Delta Lake and Iceberg.
Discover how to leverage unchanging elements for strategic advantage in a rapidly evolving world. Learn value-creation frameworks and storytelling techniques to build resilience and unlock new opportunities.
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