Building Modern Data Streaming Apps with Open Source
Discover best practices for building data streaming applications using open-source frameworks. Learn to orchestrate streams, perform ETL, enhance events, and make continuous queries with tools like Apache NiFi, Pulsar, Spark, and Flink SQL.
Introducing Apache Pinot: Real-time Analytics for Large-Scale Data
Explore Apache Pinot's real-time analytics capabilities, architecture, and data model. Learn about its query language, indexing, and use cases in high-performance applications.
Building a Real-Time Analytics Database
Odkryj tajniki tworzenia bazy danych do analityki w czasie rzeczywistym. Poznaj kluczowe koncepcje i najlepsze praktyki w tej dziedzinie.
Building Realtime Data Warehouses from Scratch - End-to-End Data Engineering Project
Design and implement a real-time data warehouse with Apache Airflow, Kafka, and Pinot. Create custom hooks, ingest batch and streaming data, and visualize evolving data using Apache Superset.
Optimizing Speed and Scale of Real-Time Analytics Using Apache Pulsar and Apache Pinot
Explore Apache Pulsar and Apache Pinot's synergy for high-speed, scalable real-time analytics in Cloud Native environments. Learn how these powerful tools enable efficient event streaming and ad-hoc data analysis.
Optimizing Speed and Scale of Real-Time Analytics Using Apache Pulsar and Apache Pinot
Explore real-time analytics optimization using Apache Pulsar for event streaming and Apache Pinot for low-latency OLAP, enabling scalable, high-performance data processing and ad-hoc querying.
Strengthening Apache Pinot's Query Processing Engine - Adaptive Server Selection and Runtime Query Killing
Enhancing Apache Pinot's query processing with intelligent routing and runtime query killing for improved resiliency and performance in large-scale distributed OLAP database deployments.
Building a Real-Time Analytics Database - A 'Choose Your Own Adventure' Journey
Explore the journey of building a low-latency, scalable analytics database, focusing on design decisions and tradeoffs that led to Apache Pinot's development for ultra-fast, user-facing analytics at scale.
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.
Introduction to Real-Time Analytics with Apache Pinot
Explore Apache Pinot's real-time analytics capabilities, architecture, and impact on data-driven decision-making. Learn about its indexing strategies, query language, and integration with popular data tools.
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.
Optimizing Speed and Scale of Real Time Analytics Using Apache Pulsar and Apache Pinot
Explore Apache Pulsar for event streaming and Apache Pinot for real-time analytics. Learn how these powerful open-source tools combine to deliver scalable, low-latency data processing and analysis in cloud-native environments.
Optimizing Speed and Scale of User-Facing Analytics Using Apache Kafka and Pinot
Explore real-time analytics optimization using Apache Kafka and Pinot. Learn how these powerful tools work together to deliver scalable, low-latency solutions for user-facing applications.
Anomaly Detection with Apache Pinot and ThirdEye
Explore anomaly detection techniques using Apache Pinot and ThirdEye for efficient cloud-native data analysis and monitoring.
Analytics: The Final Data Frontier - Why Users Need Your Data and How Pinot Serves It
Explore Apache Pinot's real-time analytics capabilities for user-facing applications, leveraging streaming data from Apache Kafka to deliver rapid insights across diverse business domains.
Scaling Uber's Metric System from Elasticsearch to Apache Pinot
Explore Uber's journey in scaling their metric system, transitioning from Elasticsearch to Apache Pinot for improved reliability and performance in real-time data processing.
Real-Time Machine Learning: Features and Inference - MLOps Podcast #135
Explore real-time ML features and inference with LinkedIn experts. Gain insights on implementation, challenges, and best practices for moving from batch to interactive near real-time machine learning.