Description
Hadoop is certainly the Open Source technology today most closely associated with volume data management and so-called Big Data applications.
Who is this training for ?
For whom ?
Any person interested in Big Data And Hadoop
Prerequisites
Training objectives
Training program
- Explain the fundamentals of Apache Hadoop, Data ETL (extract, transform, load), data processing using Hadoop tools
don’t have a program yet
- Performing data analysis and processing complex data using Pig
- » Network architectures and technologiesOperator networks.
- Access networks.
- High speeds.
- Triple/quadruple play.
- xDSL, EFM solutions.
- Techniques.
- Cable.
- Optical local loop.
- Emergence of radio networks: Wifi, WiMax, Mesh, WiGig.
- Cellular telephone networks: EDGE, UTMS, HSDPA.
- 4G and 5G.
- Local mobile networks.
- Wifi (802.
- 11 a/b/e/g/n), Bluetooth (802.
- 15), ZigBee and UWB, Wifi Hostpot.
- Local network architecture.
- Cabling.
- Network technologies: Switching, routing and label switching (Ethernet, IP, MPLS) .
- Internet routing (intra-domain and BGP).
- QoS: DiffServ model.
- IP telephony and video.
- Content distribution networks (CDN) and
- P2P networks.
- Virtual networks.
- SDN solutions and their advantages.
- Network Function Virtualization (NFV).
- OpenFlox and OpenStack.
- Mobility: moving the workstation.
- Managing network mobility .
- Handover, roaming and mobility management.
- WIMAX 802 networks.
- 16IP Mobile and cellular mobility, .
- Evolution of the architecture and protocols of the Internet.
- IPv6, ambient Internet, vehicular networks, etc.
- Synthesis: interaction between networks and applications.
- Traffic.
- Metrology.
- Perspectives.
- Perform data management and text processing using Hive Extending, troubleshooting, and optimizing Pig and Hive performance
don’t have a program yet
- Analyze data with Impala
- .
- Comparative study of MapReduce, Pig, Hive, Impala, and Relational Databases
don’t have a program yet
