InfoQ Homepage Database Content on InfoQ
-
The Joy of Analysis Development
Hilary Parker discusses the history of the analysis development tools, the current state of the art, and the importance for data scientists and analysts to understand programming principles.
/presentations/analysis-development-tools/en/mediumimage/Hilbig.JPG)
-
Using Clojure and Neo4j to Build a Meetup Recommendation Engine
Mark Needham shows how a meetup recommendation engine using Neo4j and Clojure can be built from scratch, combining content-based and collaborative filtering using Cypher and Clojure.
/presentations/clojure-neo4j-recommendation-engine/en/mediumimage/Markbig.JPG)
-
Exploring Wikipedia with Apache Spark: A Live Coding Demo
Sameer Farooqui demos connecting to the live stream of Wikipedia edits, building a dashboard showing what’s happening with Wikipedia datasets and how people are using them in real time.
/presentations/wikipedia-apache-spark/en/mediumimage/Sambig.JPG)
-
Adaptive Availability for Quality of Service
Theo Schlossnagle talks about lessons learned in building an always-on distributed time-series database with aggressive quality of service guarantees, and techniques for dealing with bad machines.
/presentations/time-series-database/en/mediumimage/Theobig.JPG)
-
Ingest & Stream Processing - What Will You Choose?
Pat Patterson and Ted Malaska talk about current and emerging data processing technologies, and the various ways of achieving "at least once" and "exactly once" timely data processing.
/presentations/ingest-stream-processing/en/mediumimage/PatTedbig.JPG)
-
Structuring Data for Self-Serve Customer Insights
Jim Porzak discusses creating an analyst ready data mart that is complete at different levels of abstraction and models customer decision points in order to be able to understand customers.
/presentations/customer-data-analysis/en/mediumimage/Jimbig.JPG)
-
Applying Big Data
Graeme Seaton discusses the drivers behind Big Data initiatives and how to approach them using the vast amounts of data available.
/presentations/big-data-initiatives/en/mediumimage/Grabig.JPG)
-
Apache Beam: The Case for Unifying Streaming APIs
Andrew Psaltis talks about Apache Beam, which aims to provide a unified stream processing model for defining and executing complex data processing, data ingestion and integration workflows.
/presentations/apache-beam/en/mediumimage/Andbig.JPG)
-
Creating Customer-Centric Products Using Big Data
Kriti Sharma talks about how Barclays is solving some of the toughest big data challenges in financial services using scalable, open source technology.
/presentations/barclays-big-data/en/mediumimage/Kribig.JPG)
-
Server-Less Design Patterns for the Enterprise with AWS Lambda
Tim Wagner defines server-less computing, examines the key trends and innovative ideas behind the technology, and looks at design patterns for big data, event processing, and mobile using AWS Lambda.
/presentations/serverless-computing/en/mediumimage/Timbig.JPG)
-
APIs in the Real World - Insights from a DB of 11,500 APIs
Adeel Ali presents insights from his database of 11,500 real world APIs.
/presentations/db-11500-api/en/mediumimage/Adbig.JPG)
-
Introducing Apache Ignite
Christos Erotocritou introduces Apache Ignite, discussing how it is used to solve some of the most demanding scalability and performance challenges. He covers typical use cases and examples.
/presentations/apache-ignite/en/mediumimage/Chbig.JPG)