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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.
Dive into NoSQL fundamentals, exploring data modeling, architecture principles, and essential querying techniques while comparing SQL and NoSQL approaches for high-performance databases.
Discover groundbreaking linguistic annotation techniques for Hebrew and Arabic NLP, exploring morphology, syntax, and dialectical variations through comprehensive datasets and innovative pipelines.
Dive into petabyte-scale data architecture design, exploring technologies like Redshift, Databricks, and BigQuery while mastering cost estimation, performance optimization, and architectural considerations.
Explore how AI coding assistants are transforming software development, technical specifications, and development lifecycles in this forward-looking examination of Software 3.0.
Explore the evolution of semantic layers in data management, from traditional systems to modern metric stores, while understanding key challenges and future directions in data truth management.
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