Striking the Balance Between Big Data and Online Privacy
Explore the growing importance of privacy controls in the digital age and the balance between data utilization and personal privacy protection.
Where Do We Go from Here - Startups in 2019
Experts discuss startup trends for 2019, covering data, capital, tech, cultural shifts, and entrepreneurship challenges in a rapidly evolving business landscape.
Giving F1 a Tech Edge
Explore how cutting-edge technology and real-time analytics drive Formula 1 success, featuring insights from industry leaders on the fusion of talent and innovation in motorsport.
Analyzing Configuration of Cellular Networks at Nokia with Apache Hadoop, Apache Spark, and Presto SQL
Explore big data solutions for cellular network configuration analysis using Apache Hadoop, Presto SQL, and related technologies. Learn about challenges, pitfalls, and optimizations in building a massively parallel processing system.
Come Stream with Me - Build Performant Simple Parallel Applications in C++ Using RaftLib
Explore RaftLib for simple, performant parallel C++ applications using stream processing. Learn its functionality, implementation, and hands-on application building for optimized multi-threaded streaming.
BLADE - The Allen Telescope Array CUDA-Accelerated Real-Time DSP Library
Explore GPU-accelerated real-time DSP for radio astronomy, focusing on BLADE software's innovative techniques for processing massive data streams from the Allen Telescope Array.
Polyglot Data with Python - Introducing Pandas and Apache Arrow
Explore polyglot data handling with Python using Pandas and Apache Arrow for efficient data exchange between ecosystems, improving performance and reducing file sizes.
Using Python to Power Serverless Applications
Explore best practices for building serverless solutions with Python, focusing on API calls, streaming data, and ML inference. Learn techniques for production-grade systems with observability.
Visualization and Analysis of Large Scale Datasets with Python
Explore techniques for visualizing and analyzing big data using Python, focusing on efficient methods to handle large-scale datasets and extract meaningful insights.
Full Text Search for Trac with Apache Solr
Enhance Trac's search capabilities using Apache Solr. Learn implementation methods, integration with Trac, and advanced features like tokenization, query handling, and indexing for improved search functionality.
ElasticSearch - Introduction and Lessons Learned
Discover ElasticSearch's power, features, and best practices for efficient data indexing and searching in this insightful introduction.
Flussi di dati GPS in near real time
Esplora l'elaborazione di flussi di dati GPS in tempo quasi reale, analizzando tecniche e sfide per gestire efficacemente grandi volumi di informazioni geospaziali.
Learning Chess from Data
Discover chess rules and gain insights through Machine Learning and Hadoop analysis of game data. Explore feature importance, representation, and sample size for understanding complex systems.
Lessons Learned from Building Elasticsearch Client
Lessons learned in building a distributed system client, focusing on API mapping, graceful degradation, and flexibility. Insights on language differences, architecture, and integration challenges.
Designing NRT - Near Real Time Stream Processing Systems - Using Python with Storm and Kafka
Learn to build near-real-time stream processing systems using Python, Storm, and Kafka for handling and computing large volumes of data as it arrives, with a focus on creating efficient pipelines.
Elasticsearch from the Bottom Up
Explore Elasticsearch and Lucene architecture, focusing on inverted index structure, index terms, text analysis, segment-based indexing, caching, and distributed search processing across shards.
Log Everything with Logstash and Elasticsearch
Centralized logging for multi-server Python apps using Logstash and Elasticsearch. Learn structured logging patterns, GELF transport, and Kibana for analysis and visualization.
PySpark and Warcraft Data
Explore PySpark's capabilities for analyzing World of Warcraft auction data, comparing performance with other tools and demonstrating its application in processing large datasets efficiently.
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.
From Basic Distance Search to a Complex Multi Criteria Search
Explore advanced Elasticsearch techniques for complex multi-criteria searches, progressing from basic distance queries to production-ready implementations like Airbnb's, using decay functions and custom backends.
Big Data with Python and Hadoop
Introduction to big data processing using Apache Hadoop and Python. Explores Hadoop concepts, infrastructure, Python implementations, and available libraries for efficient big data handling and job acceleration.