InfoQ Homepage NoSQL Content on InfoQ
-
Change Data Capture for Distributed Databases @Netflix
Raghuram Onti Srinivasan covers the challenges associated with capturing CDC events from Cassandra, discussing the Flink ecosystem and the use of RocksDB.
/presentations/netflix-cdc-events-cassandra/en/mediumimage/netflix-cdc-events-cassandra-1620163437668.jpg)
-
Turnkey Multi-Region, Active-Active Session Stores with Steeltoe, Redis Enterprise, and PAS
Adi Foulger provides insights into the Redis Enterprise architecture and demos active/active Redis clusters across two geo-distributed Pivotal Platform foundations.
/presentations/redis-clusters-active/en/mediumimage/Adibig-1593945694176.JPG)
-
Anti-Entropy Using CRDTs on HA Datastores @Netflix
Sailesh Mukil briefly introduces Dynomite, offers a deep dive on how anti-entropy is implemented and talks about the underlying principles of CRDTs that make this possible.
/presentations/netflix-crdt-entropy/en/mediumimage/Saibig-1589359425077.JPG)
-
Event-Driven Java Applications with Redis 5.0 Streams
Mark Paluch takes a look at how to integrate Redis streams into applications, and how to consume and produce messages to build a message-oriented Java application with Redis the Spring way.
/presentations/event-driven-redis-spring/en/mediumimage/Markbig-1584660104509.JPG)
-
Choosing Kubernetes: Managing Risk in Cloud Infrastructure
Ben Butler-Cole talks about Neo4j’s use of Kubernetes as a foundation for their stateful service: why they chose it and how they handled the risks associated with that choice.
/presentations/neo4j-kubernetes/en/mediumimage/Ben-Butler-m-1560158760403.jpg)
-
People You May Know: Fast Recommendations over Massive Data
Sumit Rangwala and Felix GV present the evolution of PYMK’s architecture, focusing on Gaia, a real-time graph computing capability, and Venice, an online feature store with scoring capability.
/presentations/recommendation-massive-data/en/mediumimage/recommendation-massive-data-m-1559954226481.jpg)
-
Life of a Distributed Graph Database Query
Teon Banek describes the life of a query in Memgraph following the process from reading a query as a character string, through planning and distributed execution of query operations.
/presentations/graph-query-distributed-execution/en/mediumimage/Teonbig-1558927784336.JPG)
-
Fast and Furious: Searching in a Distributed World with Highly Available Spring Data Redis
Julien Ruaux discusses the Redis Enterprise architecture and demos Redis clusters, builds three microservices, performs full-text searches, and views the results using Spring Boot Web and Angular.
/presentations/redis-enterprise-spring/en/mediumimage/Julbig-1552612967794.JPG)
-
Next Generation MongoDB: Sessions, Streams, Transactions
Christoph Strobl, Jeff Yemin discuss some of the features in latest MongoDB versions: sessions, change streams, retriable writes, reactive access and transactions.
/presentations/mongodb-sessions-streams-transactions/en/mediumimage/Doibig-1551659041352.JPG)
-
Enterprise Systems Built with Microservices are Designed to Expect Failures, But Then What? How Do We Handle Failures?
Dalia Borker explores the use of caching frameworks to improve resilience and performance in enterprise microservices systems with Redis, Pivotal Cloud Cache, and Hazelcast.
/presentations/failure-cache-redis-pcc-hazelcast/en/mediumimage/Dalbig-1551324221880.JPG)
-
Gimel: PayPal’s Analytics Data Platform
Deepak Chandramouli introduces and demos Gimel, a unified analytics data platform which provides access to any storage through a single unified data API and SQL.
/presentations/gimel-paypal/en/mediumimage/Deebig-1528941201064.JPG)
-
Introducing FlureeDB, The World's First ACID-Compliant Blockchain Database
Brian Platz introduces FlureeDB, a graph-style database for building blockchain applications.
/presentations/flureedb/en/mediumimage/Bribig-1527378914180.JPG)
SPONSORED BY
Live Webinar presented by DataStax |
Q&A moderated by InfoQ
Wondering how serverless can help with cloud app development? Join Pieter Humphrey and Artem Chebotko as they demystify serverless, cut through the hype, and explain why pairing serverless functions with a serverless, NoSQL database can boost your development agility, performance, and cost savings.