From Raw Data to an Interactive Data App in an Hour - Powered by Snowpark Python
Develop a Streamlit data app to visualize advertising ROI using Snowpark Python. Learn data ingestion, transformation, ML modeling, and interactive visualization techniques.
Sustainability and Streaming Data: Merging Real-Time Insights, Green Futures and Profitability
Explore how streaming data applications enable real-time environmental insights, driving sustainable decisions and cost savings while addressing ethical considerations and maintaining profitability.
Exactly-Once Semantics Revisited: Distributed Transactions Across Flink and Kafka
Explore challenges and improvements in Exactly-Once Semantics for distributed transactions between Apache Flink and Kafka. Learn about proposed protocol changes and enhanced integration for robust data processing.
5-Minute Practical Streaming Techniques That Can Save You Millions
Learn cost-effective streaming optimization techniques to drastically reduce infrastructure expenses. Discover simple SQL methods and advanced strategies for distributed storage and compute stacks.
Side Effects: The Hidden Complexity in Software Development
Explore how side effects impact software complexity and learn industry solutions. Discover connections between microservices, immutable data, functional languages, and event streaming in tackling this fundamental problem.
Save Money by Uncovering Kafka's Hidden Cloud Costs
Uncover hidden Kafka cloud costs, optimize spending, and justify deployments. Learn to calculate and anticipate bills, explore cost-reduction strategies, and increase efficiency in cloud-based Kafka usage.
Learnings of Running Kafka Tiered Storage at Scale
Explore Kafka tiered storage implementation, deployment, and production learnings at scale. Gain insights on principles, workloads, extended features, and issue mitigation for improved scalability and efficiency.
Anomaly Detection on Time Series Data Using Apache Flink
Implement real-time anomaly detection on network activity time series data using Apache Flink. Compare EWMA and PEWMA algorithms for effective intrusion detection in cloud-native deployments.
Autoscaling Confluent Cloud: Should We and How Would We?
Explore strategies for autoscaling Confluent Cloud resources. Learn when and how to implement scaling for cloud-based Kafka, handle ephemeral workloads, and create effective monitoring policies for optimal performance.
The Nuts and Bolts of Kafka Streams - An Architectural Deep Dive
Explore Kafka Streams' internal architecture for efficient application deployment and tuning. Learn threading models, partition assignment, and key configurations to optimize performance and scalability.
The Wonderful World of Apache Kafka
Explore Apache Kafka's ecosystem, including Producer and Consumer libraries, Connect, Streams, and Schema Registry. Gain insights for implementing Kafka in your organization.
Isolating Streaming Ingest and Queries Using RocksDB
Explore a real-time analytics architecture using RocksDB to isolate streaming data ingestion from query serving. Learn about compute-storage separation and memtable replication for efficient data processing.
Analytics: The Final Data Frontier - Why Users Need Your Data and How Pinot Serves It
Explore Apache Pinot's real-time analytics capabilities for user-facing applications, leveraging streaming data from Apache Kafka to deliver rapid insights across diverse business domains.
Workflow Engines and Event Streaming Brokers - Can They Work Together?
Explore tradeoffs between workflow engines and event streaming brokers for microservices communication. Compare Apache Kafka and Temporal, examining their strengths and implementation challenges in various use cases.
Building a Dynamic Rules Engine with Kafka Streams
Develop a real-time threat detection system using Kafka Streams. Learn to handle dynamic rule modifications, implement external data feeds, and apply best practices for stream processing.
Need for Speed: Machine Learning in the Era of Real-Time
Explore the evolution of real-time machine learning techniques, addressing low latency, dynamic data adaptability, and resource efficiency challenges in modern ML systems.
Building Nucleus: Community Brands' Real-Time Analytics Platform
Explore the architecture and design of a real-time analytics platform, featuring sub-second latency, cloud-native services, and CDC streams for efficient data processing and customer insights.
Handle Millions of IoT Devices Connected to Kafka via MQTT
Learn to manage massive IoT device networks using Kafka and MQTT for real-time data ingestion, analysis, and control in applications like vehicle communication and predictive maintenance.
Creación de una Data Pipeline con KPIs - Fluentbit, Kafka, Python y PostgreSQL
Aprende a crear una Data Pipeline eficiente utilizando fluentbit, Kafka, Python y PostgreSQL. Domina la generación de KPIs y explora herramientas como CloudBeaver.
Tutorial de Apache Airflow: Desde Puesta en Marcha hasta API - Creación de DAGs y Uso de CLI
Aprende a instalar Apache Airflow, crear DAGs, utilizar operadores, ejecutar workflows, comunicar tareas y manejar el cliente CLI y API REST en este tutorial práctico.
Tutorial DuckDB: La Base de Datos Rápida y Ligera para Analítica, ETL, Scripting y Microservicios
Explora DuckDB, una base de datos veloz y liviana para análisis, ETL, scripting y microservicios. Aprende sus ventajas y aplicaciones prácticas.