ParadeDB - Postgres for Search and Analytics
Explore ParadeDB's integration of search and analytics capabilities into PostgreSQL, enhancing database functionality for modern applications.
Apache Paimon - A Unified Data Lake for Stream, Batch, and OLAP Processing
Explore Apache Paimon's capabilities as a unified data lake system, integrating stream processing, batch operations, and OLAP functionalities for modern data architecture.
Many Faces of Real-time Analytics: A Guide to System Classification and Implementation
Explore real-time analytics systems classification, characteristics, and technology choices for implementing different analytical solutions in production environments.
Slowly Changing Dimensions Type 2 in Data Lakes - Tech Chat
Explore Slowly Changing Dimensions Type 2 in data lakes using Delta Lake, focusing on market segmentation for a climbing eCommerce site. Learn to track historical and current data effectively.
Modern Analytical Database Systems - Lecture 2
Explore modern analytical database systems, covering distributed architectures, query execution, and OLAP commoditization in this advanced CMU lecture.
Yellowbrick Data Warehouse System - Lecture 21
Explore Yellowbrick's innovative data warehouse system, its architecture, and performance optimizations for analytical workloads in this advanced database systems lecture.
Modern OLAP Database Systems - Lecture 1
Explore modern OLAP database systems, their architectures, and optimizations for analytical workloads in this advanced lecture from Carnegie Mellon University.
Practice of Building Real-Time Data Lake Based on Flink
Build a real-time data lake using Flink and Iceberg to address timeliness, diversity, consistency, and accuracy challenges in modern data architectures.
DuckDB: Features, Architecture, and Use Cases in Analytics
Dive into DuckDB's powerful analytics capabilities, architecture, and key features while exploring its unique syntax, connectors, and practical use cases in modern data analysis.
OLAP on Cassandra Data with Arrow, Flight SQL, ADBC, and DuckDB
Explore modern OLAP techniques for Cassandra data using Arrow, Flight SQL, ADBC, and DuckDB. Learn to convert sstable snapshots to Parquet, enable real-time analytics, and leverage Flight SQL for efficient querying.
Analytics and Real-time Database Workloads: Combining OLTP and OLAP Systems
Explore strategies for optimizing concurrent OLAP and OLTP workloads, focusing on ScyllaDB's workload prioritization features to achieve harmonious performance in distributed systems.
Database Consolidation With Persistent Memory
Discover how Exadata leverages Intel PMEM and RoCE 100Gbs infrastructure to accelerate OLTP and OLAP workloads, optimizing database performance and consolidation.
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.
Bridging the Gap between Relational OLTP and Graph-based OLAP
Explore GART, an innovative system bridging relational OLTP and graph-based OLAP, offering real-time graph analytics with superior performance and data freshness for dynamic applications.
Cubes Light Weight OLAP FW Server
Explore lightweight OLAP framework server for efficient data analysis and reporting, focusing on Cubes implementation and benefits.
Slicing and Dicing with Cubes - Light-weight OLAP Framework and Server
Explore lightweight OLAP framework for efficient data analysis, slicing, and dicing using Cubes. Learn server implementation and advanced techniques for multidimensional data processing.
Advanced Database Programming with Python
Explore advanced database programming with Python, covering locks, distributed transactions, and transaction isolation for robust production environments.
Processing 100+ GB of Data in Seconds Using Polars GPU Engine
Master high-speed data processing with Polars GPU engine, leveraging NVIDIA GPUs to handle massive datasets up to 10x faster while using familiar Polars syntax and commands.
Shredding Deeply Nested JSON for Efficient Analytics in DuckDB
Discover how DuckDB efficiently processes nested JSON data through vectorized analytics, enabling direct reading of JSON files as tables with automatic schema detection for powerful data analysis.
The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads
Explore cutting-edge graph database technology scaling to 100,000+ cores. Learn about GDI, a new interface for high-performance, scalable graph processing in distributed memory systems.