
Discover how Hibernate ORM and Elasticsearch can be seamlessly integrated for efficient data synchronization, automatic indexing, and powerful querying capabilities in Java applications.

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.

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.

Explore real-time data streaming technologies like WebSockets and Server-Sent Events. Learn to transform static APIs into dynamic streams, optimize data transfer, and apply streaming to innovative use cases like drone control.

Explore key-value, document, columnar, and graph data models in NoSQL databases, understanding their differences and ideal use cases for modern data management.

Discover how to leverage cloud computing for efficient big data exploration using Google BigQuery, with practical examples from news, Wikipedia, and weather datasets.

Explore property graphs, Apache TinkerPop, and Gremlin query language to extract and discover relationships in connected data. Compare Gremlin queries with SQL and functional code equivalents.

Explore Akka Streams through live coding, covering basics and advanced uses in reactive stream processing. Learn practical implementation techniques for real-world scenarios.

Aprenda a detectar anomalias em tempo real usando técnicas simples e eficazes. Descubra como criar um modelo estatístico para monitorar tráfego web, eventos de busca e cliques em anúncios.

Explore GitHub's vast dataset to gain insights on coding patterns, project design, community dynamics, and effective collaboration in open-source development.

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.

Explore fast data streaming with Akka Streams, designing robust transformation pipelines with flow control. Learn to create immutable processing logic and compose reusable stream transformations that leverage multicore hardware.

Explore RxJava and RxAndroid for building maintainable Android apps. Learn about Observables, error handling, testing, and practical implementations using MVP architecture.

Exploring the evolution of Data Science methodologies and tools in the age of Big Data, emphasizing rapid insights and value delivery in high-velocity data environments.

Explore Spark Streaming's API, real-time data processing challenges, and key internal processes for successful production deployment through practical examples.

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.

Explore modern Python-based workflow managers for big data, focusing on Luigi from Spotify, with comparisons to Pinball and Airflow. Learn about agile and extendable tools for efficient job scheduling.

Explore automated integration testing for Microservices using Citrus framework. Learn to manage complex scenarios, interact with various services, and leverage Docker integration for efficient API testing.

Build real-time streaming data pipelines using Apache Kafka, Kafka Connect, and KSQL. Learn to filter events, enrich data streams, and perform streaming aggregates for anomaly detection.

Explore PostgreSQL's evolution into a NoSQL-like database, featuring JSON support, scalability improvements, and advanced querying capabilities for modern data management needs.

Explore how to enhance service performance tracing using Sleuth, Zipkin, and ELK stack. Learn to set up Sleuth in Spring Boot services, utilize Zipkin for identifying bottlenecks, and improve logging monitoring for better insights.