Big Data Computing
Comprehensive exploration of big data technologies, covering Hadoop, Spark, key-value stores, streaming analytics, machine learning, and graph processing for large-scale data analysis and insights.
Spark Streaming Tutorial - Twitter Real Time Streaming - Apache Spark for Beginners
Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads. This video will help you to understand every aspect of Spark Streaming along with the examples and visuals for bett…
Apache Spark Full Course - Learn Apache Spark 2020
In this 'Spark Tutorial' you will comprehensively learn all the major concepts of Spark such as Spark RDD, Dataframes, Spark SQL and Spark Streaming.
Spark Tutorials for Beginners
Learn Apache Spark fundamentals, including RDDs, SQL, streaming, and architecture. Hands-on tutorials cover setup, programming, and advanced concepts for big data processing.
Stateful Streaming with Apache Spark - Updating Decision Logic at Runtime
Learn how to implement stateful streaming with Spark, focusing on updating decision logic at runtime for real-time offer personalization in loyalty programs like PAYBACK.
Different Streaming Methods with Apache Spark and Kafka
Explore real-time analytics using Apache Spark and Kafka. Learn about streaming methods, overcoming technical challenges, and innovative solutions for handling billions of daily events in a scalable, cost-efficient manner.
Kwik Trip's Databricks-Driven Operational Insight Revolution
Kwik Trip revolutionizes convenience store operations with Databricks, leveraging real-time data analytics for enhanced efficiency across 850 locations. A small team drives big impact through innovative tech integration.
KFServing - Model Monitoring with Apache Spark and Feature Store
Explore an open-source platform for scalable model serving and monitoring using KFServing, Hopsworks Feature Store, and Spark Streaming. Learn continuous data drift detection and see a live demonstration.
Machine Learning at Scale with MLflow and Apache Spark
Explore Société Générale's journey in scaling machine learning, focusing on MLflow and Apache Spark for production deployment, CI/CD pipelines, and overcoming challenges in large-scale ML implementation.
Tools for Building the Real-Time Organization
Explore tools and architectures for processing real-time data streams, enabling organizations to make faster, better decisions through event-based systems and reactive platforms.
Real-Time Event Processing and Handling Stateful Applications on Apache Mesos
Explore real-time event processing and stateful applications on Apache Mesos, focusing on industrial use cases, PaaS journey, and stream processing platforms. Learn from GE Digital's experience in handling complex workloads.
Connecting Reactive Applications with Fast Data Using Reactive Streams
Explore integrating Spark Streaming with reactive applications using Reactive Streams, focusing on back pressure support and creating a fully reactive system for efficient data processing.
Streaming Visualisation
Explore streaming data visualization techniques, from traditional approaches to dedicated solutions. Learn architecture blueprints and tools for real-time data analysis and presentation.
Processing Fast Data with Apache Spark - The Tale of Two Streaming APIs
Explore Apache Spark's streaming APIs for fast data processing, comparing Spark Streaming and Structured Streaming through practical examples and guidance on implementation.
Scalable Stream Processing - A Survey of Storm, Samza, Spark and Flink
Comprehensive overview of popular stream processing systems for real-time Big Data analytics, comparing Storm, Samza, Spark, and Flink. Explores use cases, architectures, and trade-offs for low-latency data processing.
How to Make Decisions in Real-time While Processing 30 Million Requests per Minute
Explore real-time decision-making techniques for high-volume data processing, featuring Kafka, Spark Streaming, and Aerospike to optimize system performance and reduce infrastructure costs.
Harnessing the Power of Spark & Cassandra within Your Spring App
Explore integrating Spark and Cassandra in Spring applications for powerful data analysis and storage. Learn implementation, pitfalls, and real-world usage of these technologies for large-scale data processing.
Distributed Real Time Stream Processing - Why and How
Explore state-of-art distributed streaming frameworks, their differences, trade-offs, and use-cases. Learn how to choose between Spark Streaming, Storm, Samza, and Flink for your specific streaming needs.
Distributed Real-Time Stream Processing - Why and How
Explore state-of-the-art open-source distributed streaming frameworks, their trade-offs, use-cases, and selection criteria. Learn about Spark Streaming, Storm, Samza, and Flink for modern data processing challenges.
Connecting Reactive Applications with Fast Data Using Reactive Streams
Explore integrating Spark Streaming with reactive applications using Reactive Streams. Learn about Spark's streaming model, back pressure support, and see a demo of a fully integrated reactive system.
Streaming Cross-Sectional Data Visualization with Perspective and Spark
Explore real-time data visualization using Perspective and Spark Streaming. Learn to build high-performance, interactive applications for analyzing streaming data in various industries.