Deep Learning - An Introduction
Explore neural networks, their algorithms, and practical applications in image recognition. Learn to implement and train deep learning models using DL4J, a Java library for Spark-based deep learning.
What Can You Learn from Thousands of Source Files in Github
Explore GitHub's dataset on BigQuery to uncover programming patterns, common dependencies, exceptions, and mistakes, with examples from Apache Groovy and insights for other languages.
IOT, Timeseries and Prediction with Android, Cassandra and Spark
Explore IoT potential using smartphone sensors, Cassandra for timeseries storage, and Spark for real-time data analysis and activity prediction.
Developing Reactive Applications with Reactive Streams and Java 8
Learn to build reactive applications using Reactor Core 3.0, exploring its powerful API based on Java 8 and Reactive Streams. Gain practical skills through live coding and real-world use cases.
Elasticsearch + Hibernate - From Artisanal to Industrial Integration
Discover how Hibernate ORM and Elasticsearch can be seamlessly integrated, enabling automatic data synchronization and efficient querying between relational databases and search indexes.
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.
And the Beats Go On
Explore new data shippers for Elasticsearch: Packetbeat for network packets, Metricbeat for machine metrics, and Filebeat for log files. Learn to build custom beats with Libbeat.
The Art of Humanizing Digital Interactions
Discover innovative strategies for personalizing digital marketing through authentic, data-driven interactions that prioritize consumer understanding and real-time value creation.
Large Language Models - Friend, Foe, or Otherwise
Explore the impact of large language models on work and society, their capabilities, evolution, and potential future. Learn to leverage AI tools while addressing concerns and focusing on uniquely human skills.
A Composer's Guide to Creating with Generative Neural Networks
Exploring the challenges and creative potential of using generative neural networks in music composition, from data collection to model selection and ethical considerations.
Artificial Intelligence Will Redefine Art Design
Explore how AI revolutionizes art creation, experience, and appreciation. Discover the intersection of technology and creativity, and its impact on the future of artistic expression and design.
The Importance of Data Analysis When Making Decisions
Explore how data analysis and collective experience can improve public health decision-making, as demonstrated in Jaraguá do Sul during the pandemic.
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.
Connected Sensors and Data Visualization to Measure Hardness at Work
Explore sensor-based measurement and visualization of workplace hardness, covering physical constraints, environment, and work rhythms using Arduino, MQTT, and data analysis tools.
Istio, We Have a Problem! Understanding and Fixing Bugs with a Service Mesh
Explore Istio service mesh for debugging, monitoring, and deploying microservices. Learn to use Service Graph, Prometheus, Grafana, and traffic mirroring for effective problem-solving and blue-green deployment.
Embrace the Anarchy - Apache Kafka’s Role in Modern Data Architectures
Explore Apache Kafka's role in modern data architectures, focusing on its streaming platform capabilities, ecosystem, and design patterns for addressing enterprise data flow challenges.
Data Stream Processing - Concepts and Implementations
Explore data stream processing concepts, including time handling, Dataflow API, stream-table duality, data lookup, and deployment strategies. Compare implementations in Apache Spark Streaming, Flink, and Kafka Streams.
How Uber Audits Real-Time Infrastructure of Trillion+ Messages
Explore Uber's Chaperone system for auditing real-time infrastructure handling trillions of daily messages. Learn about its design, implementation challenges, and lessons learned in scaling massive data flows.
Fighting Fraud with Graph Databases
Explore graph databases for fraud detection in social security, featuring real-world examples and comparisons with traditional SQL databases. Learn implementation techniques and data quality considerations.
Building Serverless AI Powered Applications on AWS
Explore serverless AI applications on AWS using Amazon Rekognition and Polly. Build image analysis and podcast generation systems with practical demos and deployment techniques.