Real-Time Analytics and BI Using Azure Synapse Link for Azure Cosmos DB
Learn to build real-time BI dashboards using Azure Synapse and Cosmos DB. Explore no-ETL analytical processing on operational data without impacting critical workloads. Discover hybrid transactional/analytical processing with Azure Synapse Link.
GraphX - Graph Processing in a Distributed Dataflow Framework
Explore GraphX, a graph processing framework built on Apache Spark, offering performance comparable to specialized systems while enabling broader computational capabilities and fault tolerance.
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.
Spark 2.0
Explore Apache Spark 2.0's evolution, new APIs, and optimizations for big data processing. Learn about DataFrames, Datasets, and Structured Streaming for efficient distributed programming.
Scaling Apache Spark on Kube to Apple Scale
Explore scaling Apache Spark on Kubernetes at Apple's scale. Learn about workload portability, best practices, migration tips, and new enhancements for effective deployment in large-scale environments.
Data Visualization, Processing and Machine Learning - on the JVM with Apache Zeppelin
Explore data visualization, processing, and machine learning using Apache Zeppelin's interactive notebooks. Learn to ingest, discover, analyze, and visualize data with multiple backends, including Spark and JDBC.
Continuous Deployment of Machine Learning Models
Explore real-time ML model deployment at Auto Trader UK, featuring automated retraining, robust testing, and integration with existing infrastructure for efficient experimentation and reduced time-to-live.
Deep Learning con DL4J e Apache Spark
Esplora il Deep Learning distribuito con DeepLearning4J, ND4J e Apache Spark. Scopri potenzialità e sfide nell'implementazione di reti neurali multilayer su diverse modalità di deployment di cluster Spark.
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.
Sentiment Analysis of Social Media Posts Using Apache Spark
Practical demonstration of sentiment analysis on Reddit comments using Apache Spark, covering implementation, data processing, and results visualization for large-scale social media content analysis.
Apache Spark? If Only It Worked
Practical guide to optimizing Apache Spark applications, covering common issues like data skew, memory management, caching, and executor sizing for improved performance and stability.
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.
GeoSpatially Enabling Your Big Data Apache Clusters with LocationTech
Explore geospatial data processing at scale using LocationTech projects. Learn about challenges, solutions, and integration with Apache frameworks for analyzing large-scale location-based information.
Fast Cars, Big Data - How Streaming Can Help Formula 1
Explore real-time data streaming and analysis in Formula 1 racing using Apache Kafka, Spark, and Drill. Learn how to capture, process, and visualize high-volume automotive data for performance insights.
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.
Realtime-Cognitive IoT Using DeepLearning and Online Learning
Explore DeepLearning4J on Apache Spark for IoT anomaly detection using LSTM autoencoder neural networks. Learn scalable machine learning techniques for real-time cognitive IoT applications.
Real World Use Cases for Tachyon - A Memory-Centric Distributed Storage System
Explore Tachyon, a memory-centric distributed storage system for fast big data processing. Learn about its architecture, features, and real-world applications in various industries.
Distributed Machine Learning 101 Using Apache Spark from a Browser
Explore introductory machine learning concepts and their application at scale using Apache Spark, with hands-on examples in interactive notebooks for real-world distributed data processing.
A Taste of Random Decision Forests on Apache Spark
Explore Random Decision Forests on Apache Spark with Sean Owen. Learn about decision trees, feature vectors, model interpretation, and hyperparameter tuning for machine learning in distributed environments.
Data Science at Scala with Spark
Explore Apache Spark's advantages over MapReduce for big data processing, including improved performance, developer productivity, and support for diverse application scenarios like stream processing and graph analytics.
Analyzing Pwned Passwords with Apache Spark
Explore large-scale password analysis using Apache Spark, covering data processing techniques, popular password trends, and security implications of leaked credentials.