InfoQ Homepage Data Content on InfoQ
-
Building & Operating High-Fidelity Data Streams
Sid Anand discusses building high-fidelity nearline data streams as a service within a lean team.
/presentations/building-high-fidelity-data-streams/en/mediumimage/Sid-Anand-m-1648803206604.jpg)
-
Data-driven Development in the Automotive Field
Toshika Srivastava offers insight into how they in the automotive field are developing products with data and what their challenges are.
/presentations/automotive-data-developing/en/mediumimage/Toshika-Srivastava-m-1625655409703.jpg)
-
Data Mesh Paradigm Shift in Data Platform Architecture
Zhamak Dehghani introduces Data Mesh, the next generation data platform, that shifts to a paradigm drawing from modern distributed architecture.
/presentations/data-mesh-paradigm/en/mediumimage/ZaBIG-1582846937185.JPG)
-
Future of Data Engineering
Chris Riccomini talks about the current state-of-the-art in data pipelines & data warehousing, and shares some of the solutions to current problems dealing with data streaming & warehousing.
/presentations/data-engineering-pipelines-warehouses/en/mediumimage/Chisbig-1575474871986.JPG)
-
Announcing Broadway
José Valim discusses how Broadway connects multiple stages and producers, how it leverages GenStage to provide back-pressure, and other features such as batching, rate-limiting, partitioning and more.
/presentations/broadway/en/mediumimage/Jobig-1568591143171.JPG)
-
A Dive into Streams @LinkedIn with Brooklin
Celia Kung talks about Brooklin, LinkedIn’s managed data streaming service, and dives deeper into its architecture and use cases, as well as their future plans.
/presentations/linkedin-streams-brooklin/en/mediumimage/Celia-Kung-QConNY-m-1564648380376.jpg)
-
Panel: Predictive Architectures in Practice
The panelists discuss the unique challenges of building and running data architectures for predictions, recommendations and machine learning.
/presentations/panel-predictive-arch/en/mediumimage/panel-predictive-arch-m-1559579957984.jpg)
-
PCF Data Collection for TBM
Chris Busch and Raj Sivaraj overview the foundation data collection needs of Mastercard, and how data is collected and provided back to product teams with critical expense data for show-back.
/presentations/mastercard-pcf-data-collection/en/mediumimage/Chrisbig-1548437313561.JPG)
-
Algorithms behind Modern Storage Systems
Alex Petrov talks about modern storage system approaches, discussing storage internals, evaluation techniques to choose a database best suitable for a certain data.
/presentations/storage-algorithms/en/mediumimage/Alex-Petrov-m-1548930292179.jpeg)
-
Crisis to Calm: Story of Data Validation @ Netflix
Lavanya Kanchanapalli discusses safe data propagation at Netflix, circuit breakers, data canaries and staggered rollout effective, and efficient validations via sharing data and isolating change.
/presentations/data-validation-netflix/en/mediumimage/Lavbig-1546564580081.JPG)
-
Using Data Effectively: beyond Art and Science
Hilary Parker talks about approaches and techniques to collect the most useful data, analyze it in a scientific way, and use it most effectively to drive actions and decisions.
/presentations/data-techniques/en/mediumimage/Hilary-Parker-m-1543503789884.jpeg)
-
Data Security Dreams and Nightmares
Alex Holden shares his lessons learned by observing and assisting with data breaches, and explains how to avoid them and what can be done to emerge successfully from a bad situation.
/presentations/security-data-breach/en/mediumimage/alex-holden-m-1541205306819.jpg)