Sessions in this track focus on enterprise architecture with an emphasis on how Hadoop is powering today’s advanced data management ecosystems and how Hadoop fits into modern enterprise environments. Speakers will discuss architecture and models, demonstrating how Hadoop connects to surrounding platforms. Sessions will focus on Hadoop deployment design patterns; enterprise models and system architecture; types of systems managing data that is transferred to Hadoop using Apache Sqoop and Apache Flume; and how to publish data via Apache Hive, Apache HBase and Apache Sqoop to systems that consume data from Hadoop.
Sessions
- Proven Tools to Simplify Hadoop Environments
- Life in Hadoop Ops - Tales From the Trenches
- Leveraging Hadoop for Legacy Systems
- Replacing RDB/DW with Hadoop and Hive for Telco Big Data
- Security Considerations for Hadoop Deployments
- WibiData: Building Personalized Applications with HBase
- Storing and Indexing Social Media Content in the Hadoop Ecosystem
- Hadoop's Life in Enterprise Systems
- Hadoop vs. RDBMS for Big Data Analytics... Why Choose?
- Data Ingestion, Egression, and Preparation for Hadoop
- Building Realtime Big Data Services at Facebook with Hadoop and HBase
- Big Data Architecture: Integrating Hadoop with Other Enterprise Analytic Systems
- Extending the Enterprise Data Warehouse with Hadoop
- Hadoop and Graph Data Management: Challenges and Opportunities
- Hadoop Network and Compute Architecture Considerations
- Hadoop and Netezza Deployment Models and Case Study
- Architecting a Business-Critical Application in Hadoop