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Big Data Architecture at LinkedIn

Topics
Neo4j,
Cassandra,
Neo,
Riak,
MongoDB,
Graph Database,
Companies,
BigTable,
Key-Value Store,
Big Data,
Distributed Document Oriented Database,
Database Design,
NoSQL,
Database,
Cloud Computing,
Hadoop,
Voldemort,
Lucene,
Dynamo DB

In this interview at QCon London, LinkedIn’s Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they’re moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.

Presentations by Siddharth Anand

Data Infrastructure @ LinkedIn

Topics
Messaging,
QCon London 2012,
Big Data,
Web Services,
NoSQL,
Operations,
QCon,
Database Design,
SOA,
Enterprise Architecture,
Infrastructure,
Conferences,
Database,
Performance & Scalability,
Architecture

Sid Anand presents the architecture set in place at LinkedIn and the data infrastructure running Java and Scala apps on top of Oracle, Voldemort, DataBus and Kafka.

Keeping Movies Running Amid Thunderstorms!

Topics
Amazon Web Services,
Cassandra,
QCon San Francisco 2011,
BigTable,
Amazon,
Cloud Adoption,
QCon,
Companies,
IaaS,
NoSQL,
Conferences,
Cloud Computing,
Performance & Scalability,
Netflix,
Database

Siddharth Anand presents how Netflix’s architecture evolved from a traditional 3-tier configuration to a cloud-based one, detailing the scalability and fault tolerant issues encountered.

NoSQL @ Netflix

Topics
Cassandra,
QCon London 2011,
BigTable,
Data Access,
NoSQL,
QCon,
Database,
Architecture,
Netflix,
Conferences

Siddharth “Sid” Anand explains the technical details behind the move from Oracle used inside their data center to SimpleDB and S3 in the cloud, and from there to Cassandra.

Netflix’s Cloud Data Architecture

Topics
Amazon Web Services,
QCon London 2011,
Amazon,
Companies,
Operations,
QCon,
IaaS,
NoSQL,
Conferences,
Cloud Computing,
Netflix,
Infrastructure,
Performance & Scalability,
Architecture,
Database

Siddharth Anand overviews Netflix’s business model, then he explains why they chose Amazon AWS, and how they moved their data into the cloud using a NoSQL solution.