Introduction to Stream Processing with Apache Flink
Explore stream processing fundamentals and Apache Flink's capabilities for real-time data analysis, scalable applications, and event-driven architectures.
Efficient Data Parallel Distributed Training with Flyte, Spark and Horovod
Learn to optimize distributed training using Flyte, Spark, and Horovod for efficient data parallelism in machine learning workflows.
Self-serve Feature Engineering Platform Using Flyte and Feast
Explore a self-serve feature engineering platform leveraging Flyte and Feast technologies, enhancing data science workflows and machine learning model development.
Bringing the Power of ONNX to Apache Spark - Integrating Deep Learning Inference
Explore integrating ONNX with Spark for efficient deep learning inference pipelines. Learn about Ascend Hardware Platform's ONNX contributions and Spark community's simplified API for DL inferencing.
Automating Cloud-native Spark Jobs with Argo Workflows
Learn to orchestrate Spark jobs on Kubernetes using Argo Workflows, exploring architecture, resource management, and scaling advantages for efficient large-scale data processing in cloud-native environments.
Being Fluentd with Logs
Explore efficient log management using Fluentd, a powerful open-source data collector. Learn techniques for streamlined log handling and analysis in modern IT environments.
Flyte - Cloud Native Machine Learning and Data Processing Platform
Explore Flyte, a cloud-native platform for machine learning and data processing, presented by Lyft engineers. Learn its features, benefits, and applications in modern data workflows.
The Future of Data Pipelines with Atomic Wasm Transformations - Evolving Role of Data Engineers
Explore atomic Wasm transformations in data pipelines and their impact on data engineering roles, focusing on innovative approaches to data processing and workflow optimization.
The Pace of Innovation in Delta Lake
Explore the rapid advancements and innovative features of Delta Lake, enhancing data reliability and performance in modern data architectures.
Table Formats Change Everything By Not Changing Anything
Explore how table formats revolutionize data processing without altering existing systems. Learn about their impact on efficiency, interoperability, and scalability in modern data architectures.
Machine Learning and Apache Spark: A Dynamic Duo
Explore how Apache Spark and machine learning revolutionize industries, enabling data-driven decisions and innovative products. Learn about top use cases, market dynamics, and IBM's commitment to Spark.
Building an Open Source Streaming Analytics Stack with Kafka and Druid
Learn to build a robust streaming analytics stack using Kafka and Druid for real-time data processing, flexible querying, and maintaining data integrity in high-volume environments.
Building Next-Generation Audience Targeting and Analytics at NBCUniversal
Explore NBCUniversal's data-driven approach to audience targeting using Apache Mesos, DC/OS, Spark, Kafka, and Cassandra for real-time analytics and personalized data services.
Accelerating Spark Workloads in an Apache Mesos Environment with Alluxio
Learn how Alluxio enhances Spark and Mesos performance by providing memory-speed data access across diverse storage systems, optimizing big data processing and enabling new workloads.
Google Sheets Full Course Tutorial
Comprehensive tutorial covering Google Sheets essentials: navigation, formulas, data manipulation, charts, pivot tables, functions, collaboration, and more. Perfect for beginners and intermediate users seeking to enhance spreadsheet skills.
Data Preprocessing in Python
Learn to transform raw text into structured lists and CSVs using Python, enhancing data organization and analysis skills for practical applications.
Fluent Bit in 2022: Logs, Prometheus and OpenTelemetry
Explore Fluent Bit's expanded capabilities in observability, covering logs, metrics, and traces collection. Learn to optimize data pipelines using OpenMetrics and OpenTelemetry for efficient production environments.
Hands-on Workshop: Getting Started with Fluent Bit and Metrics with Prometheus
Practical workshop on integrating Fluent Bit with Prometheus for enhanced observability. Learn to collect, send, and visualize metrics using Grafana in a cloud-native environment.
Modernizing Event Emission Infrastructure with Fluent Stack - Asana Case Study
Discover how Asana modernized its event emission infrastructure using Fluent Bit, scaling to 3.5 billion events daily while improving flexibility, performance, and durability.
Build a Cloud Native Logging Pipeline on the Edge with Fluentbit Operator
Explore FluentBit Operator for efficient cloud-native logging on edge devices. Learn its architecture, design, and implementation on K3s for processing logs in edge and IoT scenarios.
Fluent Bit - Unifying Logs, OpenMetrics, and OpenTelemetry
Explore Fluent Bit's expanded capabilities for unified observability, integrating logs, metrics, and traces using OpenMetrics and OpenTelemetry protocols. Learn optimization techniques for efficient data collection and aggregation at scale.