Reactive Spring Deep Dive - Building & Testing Reactive Cloud-native Java Microservices
Explore reactive programming in Spring for building resilient, responsive microservices. Learn integration, data pipelines, API design, and testing techniques for cloud-native Java applications.
Why Most Data Projects Fail and How to Avoid It
Explore key factors for successful data projects: team composition, value creation, timelines, architecture, and execution. Learn to avoid common pitfalls and maximize project success through strategic planning and management.
Observability in the MLOps Lifecycle with Prometheus
Explore MLOps monitoring with Prometheus, covering ML deployment challenges, data drift, and model metrics. Learn to enhance existing systems and integrate with tools like Flyte, Seldon Core, and FastAPI.
Elasticsearch - Beyond Full-text Search
Discover Elasticsearch's advanced capabilities beyond full-text search, including real-time analytics and scalable applications used by major tech companies like SoundCloud and GitHub.
Following Google or Don't Follow the Followers, Follow the Leader
Explores data management challenges in the digital age, discussing scale, speed, persistence, and context. Critiques current trends and technologies, emphasizing the importance of understanding data's lifecycle and structure.
Moving Faster - Why Intent Media Chose Cascalog
Explore Intent Media's journey to Cascalog for data processing and machine learning, comparing various technologies and showcasing practical Cascalog examples.
Building Prediction Pipelines that Rock in the Real World
Discover how to build scalable, performant prediction pipelines for microservices in the cloud. Learn data collection, model building, serving, and candidate checking techniques.
Machine Learning with TensorFlow and Google Cloud
Explore TensorFlow and Google Cloud for machine learning applications through a hands-on example, covering data ingestion, neural network training, and prediction on real datasets.
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.
Scaling Machine Learning with Spark
Learn to build scalable machine learning solutions with Apache Spark. Explore distributed computing, MLflow, feature engineering, and integrating Spark with deep learning frameworks like TensorFlow and PyTorch.
Unlocking the Power of Real-Time Analytics
Explore real-time analytics with experts Tim Berglund and Adi Polak, discussing its benefits, technical requirements, and applications like LinkedIn's profile view feature powered by Apache Pinot.
Big & Fast Data at PayPal
Explore PayPal's massive data management and insights extraction, covering architecture, fast data challenges, and innovative solutions for processing billions in daily payments across 200+ countries.
Data Pipelines à La Mode
Explore pure data pipelines: reproducible, version-tracked, and efficient. Learn techniques from distributed build systems to improve algorithm updates and avoid redundant work.
Orchestrating Your Data Pipelines with Apache Airflow
Introduction to Apache Airflow for orchestrating data pipelines, covering key components and demonstrating simple pipeline builds. Includes practical demos and insights on Airflow's evolution and community contributions.
Kafka as a Platform - The Ecosystem from the Ground Up
Explore Apache Kafka's ecosystem: from basic messaging to advanced streaming platform. Learn about topics, partitioning, APIs, stream processing, and enterprise-grade features for scalable data infrastructure.
Introduction to Presto - The SQL Engine for Data Platform Teams
Explore Presto, a powerful SQL engine for data platform teams, and learn how it can enhance your data analytics capabilities and streamline query processing across diverse data sources.
Enable Real-time Analytics and Machine Learning with Azure Stream
Explore Azure Stream Analytics for real-time data processing, integrating with Power BI dashboards and Azure ML. Learn to build streaming jobs and implement lambda architecture for data-driven insights.
Building a Telegram Bot with Apache Kafka, Go & ksqlDB
Hands-on demonstration of building a Telegram bot using Apache Kafka, Go, and ksqlDB for real-time data processing and querying, showcasing event-driven architecture and stream processing capabilities.
Comparing Argo Workflows and Airflow in Distributed Environments
Explore workflow orchestration tools for distributed environments, focusing on Argo Workflows' advantages in Kubernetes-based pipelines and its scalability across multiple regions and zones.
Entity Resolution at Scale
Explore entity resolution techniques for cleaning large-scale data, focusing on challenges and solutions using Apache Spark to process billions of records efficiently.
Unlocking the Power of Real-Time Analytics
Explore real-time analytics in software development, its benefits for product development, and applications through Apache Pinot and StarTree Cloud. Learn about technical requirements and practical use cases.