Statista 2026 raporuna göre, dünya çapındaki kumar kullanıcılarının %72’si 18 ile 44 yaş aralığındadır; bu grup bettilt giriş kullanıcılarının büyük bölümünü oluşturur.

  • OLAP - Data Storage

    Advanced Apache Pinot: Custom Aggregations, Transformations, and Real-Time Enrichment

    December 28, 2023 - By 

    Originally published on December 28, 2023 In this concluding post of the Apache Pinot series, we’ll explore advanced data processing techniques in Apache Pinot, such as custom aggregations, real-time transformations, and data enrichment. These techniques help us build a more intelligent and insightful analytics solution. As we finalize this series, we’ll also look ahead to how Apache Pinot could evolve with advancements in AI and ModelOps, laying a foundation for future exploration. Sample Project Enhancements for Real-Time Enrichment We’ll take our social media analytics project to the next level with real-time data transformations, custom aggregations, and enrichment. These advanced techniques…

  • OLAP - Data Storage

    Visualizing Data with Apache Druid: Building Real-Time Dashboards and Analytics

    December 28, 2023 - By 

    Introduction In previous posts, we explored Druid’s setup, performance tuning, and machine learning integrations. This post focuses on visualization, the final step in turning raw data into actionable insights. We’ll cover Druid’s integration with popular visualization tools like Apache Superset and Grafana, providing a guide to building real-time dashboards. For our E-commerce Sales Analytics Dashboard, we’ll connect Apache Druid to your existing Superset instance running on http://localhost:8088, set up as part of the blog Superset Basics, to visualize data and bring insights to life. 1. Why Visualization Matters in Real-Time Analytics Data visualization allows us to understand trends, spot anomalies,…

  • OLAP - Data Storage

    Apache Pinot for Production: Deployment and Integration with Apache Iceberg

    December 14, 2023 - By 

    Originally published on December 14, 2023 In this installment of the Apache Pinot series, we’ll guide you through deploying Pinot in a production environment, integrating with Apache Iceberg for efficient data management and archival, and ensuring that the system can handle real-world, large-scale datasets. With Iceberg as the long-term storage layer and Pinot handling real-time analytics, you’ll have a powerful combination for managing both recent and historical data. For those interested in brushing up on Presto concepts, check out my detailed Presto Basics blog post. If you’re new to Apache Iceberg, you can find an introductory guide in my Apache…

  • Data Storage - OLAP

    Extending Apache Druid with Machine Learning: Predictive Analytics and Anomaly Detection

    December 7, 2023 - By 

    Introduction In our previous posts, we’ve explored setting up Apache Druid, configuring advanced features, and optimizing performance for real-time analytics. Now, we’ll take a step further by integrating machine learning with Druid to enable predictive analytics and anomaly detection. This post will cover the steps to prepare Druid data for ML, integrate with ML frameworks, and explore practical ML applications for business insights. 1. Why Use Machine Learning with Apache Druid? Machine learning combined with real-time analytics allows organizations to predict trends, detect anomalies, and make data-driven decisions faster. Druid’s high-speed querying and real-time data ingestion capabilities make it a…