Accelerating the Operational Scale-up of GenAI - Industrializing Solutions for Business Outcomes
Discover strategies for industrializing GenAI operations, from provisioning to risk management, ensuring trusted solutions that deliver business outcomes on the Databricks platform.
Apache Spark Processing with AWS EMR - Data Engineering Project
Master AWS EMR for data processing: set up, submit Spark jobs, visualize on Hadoop UI, and leverage cloud computing for efficient big data handling.
Petabyte-Scale Data Migrations to Google Cloud - Best Practices and Case Study
Migrate petabyte-scale data pipelines to Google Cloud, optimizing performance and reducing costs. Learn from Globo's experience in handling massive concurrent users for major events.
Next-Gen Data Modeling, Integrity, and Governance with YODA - Insights from Yotpo and ZipRecruiter
Explore next-gen data modeling strategies for large-scale systems. Learn about YODA, an internal tool combining developer experience, DBT, Databricks, and more, to address data standardization and governance challenges.
The Future of Streaming Data - Challenges and Opportunities
Explore the future of streaming data, focusing on managing complex data connections, adopting Kafka internally, and addressing challenges in data governance, security, and movement across organizations.
What Apache Kafka Developers Can Learn from Online Gaming
Explore how online gaming concepts enhance large-scale event management in Apache Kafka, including latency masking, conflict resolution, and seamless collaboration techniques for improved real-time data processing.
Improving Scalability and Performance with Kafka Leader Election
Explore Kafka leader election's role in improving scalability and performance. Learn about failover processes, preferred leaders, and optimizations for efficient data replication and consistency in distributed systems.
Real-Time Machine Learning and Smarter AI with Data Streaming
Explore real-time machine learning and AI with data streaming. Learn how Airy's open-source platform uses Apache Kafka to improve customer experiences through integrated, accessible data and conversational AI.
The Present and Future of Stream Processing - Trends and Innovations
Explore trends in data streaming, Apache Kafka adoption, and the future of stream processing with industry experts. Gain insights on best practices, emerging use cases, and technological advancements.
Building and Designing Events and Event Streams with Apache Kafka
Learn to design effective event-driven architectures using Apache Kafka. Explore key concepts like internal vs. external events, fact vs. delta, and normalization strategies to build scalable, responsive systems.
Dev to DevAI - The Future of App Development with Analytics and Generative AI
Explore the intersection of real-time analytics and generative AI in app development, revolutionizing business strategies and technological innovation.
Managing Google Cloud Storage at Scale with Gemini
Explore new GCS features for cost optimization, security, and governance at scale. Learn about Storage Insights Datasets, Gemini-powered insights, and data movement capabilities.
How to Use Google Cloud Storage to Unify Data for Analytics Workloads
Unify data analytics workloads with Google Cloud Storage. Learn to scale, achieve consistency, and reduce costs while integrating with BigQuery, Hadoop, Spark, and Kafka.
Netdata: Open Source Distributed Observability Pipeline
Explore Netdata's open-source distributed observability pipeline, addressing challenges in monitoring, real-time analytics, and AI-powered correlations for comprehensive system insights.
Optimizing Apache Spark and SQL for Improved Performance
Enhance Apache Spark and SQL performance through optimization techniques. Learn strategies for improved efficiency in data processing and analysis.
Understand Your Data
Explore efficient data handling techniques for improved performance and analysis. Learn to optimize data formats and structures for faster processing and better decision-making in Big Data environments.
Using Open Source Techs to Unearth the Stories of the Panama Papers
Explore how journalists used Apache Solr, Tika, and Neo4j to investigate the Panama Papers, uncovering hidden connections and stories within massive leaked financial documents.
Building Low Latency Microservices & Monoliths in Java Using High Performance Serialization & Messaging
Explore low-latency microservices and monoliths in Java, focusing on high-performance serialization and messaging techniques for improved system efficiency and responsiveness.
Docker as the Building Block for Datacenter-Scale Applications
Explore Docker's role in building datacenter-scale applications, focusing on cluster management, fault tolerance, and resource allocation using Apache Mesos for large-scale distributed systems.
Riak, Redis, Apache Solr & Spark - Deploying with the Basho Data Platform
Explore deploying Riak, Redis, Apache Solr & Spark using Basho Data Platform. Learn integration strategies for smooth operation from prototype to production.
The Sparkling Solution that Scales to IoT
Exploring Spark and Scala for IoT big data analytics, with demonstrations of infrastructure setup on Apache Mesos and coding techniques for Spark streaming, AKKA, and SparkSQL.