Stateful and Reactive Stream Processing Applications Without a Database
Explore stateful & reactive stream processing without databases. Learn to architect continuous, reactive applications using modern tech stacks like Kafka Streams, Spring Boot, and more.
Data Mining for Security Anomalies
Explore techniques for collecting, processing, and mining security event data to detect anomalies and generate actionable insights for improved system protection.
Unlocking the Potential of Bits and Bytes - Reducing Data Footprint for Cost and Eco Efficiency
Explore strategies to minimize data footprint, optimizing costs and environmental impact in digital systems through efficient bit and byte management.
From Garage Project to the No. 1 Taxi App in Europe
Explore mytaxi's journey from startup to leading European e-hailing app. Learn about microservices migration, cloud solutions, team scaling, and tech stack insights for efficient growth and development.
Don't Eat My Data - 30+ Years of Storage War Stories
Explore 35+ years of data storage challenges, from personal devices to enterprise solutions, with insights on formats, hardware, file systems, and cloud storage.
Data Tools and the Data Scientist Shortage
Explore data science challenges, tools, and innovations with Pandas creator Wes McKinney. Gain insights on the skills shortage, education trends, and future developments in this evolving field.
A Smart City Is Only as Smart as the Data It Uses
Explore how governments and agencies capture, store, and utilize massive data to enhance services and citizen communication in smart cities.
Petabytes Are the New Terabytes
Learn how machine learning and AI can reduce storage costs for digital transformation initiatives, enabling more efficient data management at scale.
A Discussion of Selected Vienna-Libraries for Computational Science
Explore Vienna-Libraries for computational science: ViennaCL, ViennaGrid, ViennaData, ViennaMath, and ViennaFEM. Learn how C++ can better meet scientific computing needs.
Decoding Bias and Narrative in Competitive Video Games
Explore video analysis of Overwatch eSports broadcasts to uncover biases and narratives in competitive gaming, examining player focus and storytelling techniques.
Build-a-Database with Python
Explore building a database from scratch using Python, covering interface creation, data storage, and indexing. Gain insights into database internals and optimization techniques.
Data of Unusual Size - Interactive Visualization
Learn techniques for analyzing and visualizing massive datasets using Python libraries like Dask and hvPlot. Explore efficient data formats, parallel computation, cloud resources, and interactive visualization for large-scale data science projects.
Spotify and Python - Love at First Sight
Discover how Spotify leverages Python for its architecture, services, and tools. Explore the company's tech stack, deployment strategies, and future challenges in music streaming.
Python Without Filesystem
Explore Python's capabilities beyond traditional filesystem operations, focusing on alternative data storage and retrieval methods for enhanced performance and flexibility.
Fully Versioned Distributed Object Persistence
Explore fully versioned distributed object persistence, its principles, and practical applications in modern software development.
Python and Elasticsearch 101
Explore Python integration with Elasticsearch for versatile data storage and retrieval, from IoT device metrics to business events, with insights on schema, querying, and administration.
Building a Multi-Purpose Platform for Bulk Data Using SQLAlchemy
Learn to build a scalable platform for processing bulk data across multiple business domains using SQLAlchemy, with insights on optimizing performance and maintaining flexibility.
New Trends in Storing Large Data Silos with Python
Explore emerging technologies for handling Big Data in Python, focusing on efficient storage solutions and leveraging modern architectures, with insights on future trends and practical examples.
Mastering a Data Pipeline with Python - 6 Years of Learned Lessons from Mistakes
Explore key insights and best practices for building robust data pipelines with Python, covering data acquisition, transformation, storage, and workflow management based on 6 years of experience.
Build-A-Database with Python
Unlock the inner workings of databases by building one from scratch using Python. Learn to create interfaces, implement data storage, and optimize performance with B-tree indexes.
Azure Data Lake - Summit Preview
Explore Azure Data Lake technologies, their benefits, challenges, and implementation strategies for effective big data storage, processing, and analysis in the cloud.