Big Data processing architecture (based on hadoop and OpenStack) 2019

Training objectives:

Understand the ideas and methods of large data analysis process
to improve the technical architecture design large capacity data model analysis of
features and tools for big data analytics
to understand cloud computing virtualization technology
understand Openstack related technical architecture and Cases

Big Data Overview
Data features Big Data era and data sources analysis
of large data accumulation and management methods
Discrimination misconceptions about big data
life cycle data of
the era of big data trends
of software applications Pan Internet-based
business applications vertical integration
birth data bank big data era of data processing concept of three major changes in
the core technology of the era of big data
data analysis techniques (Hadoop, MPI, BSP)
data mining
visualization technology finishing solutions
prediction technology
framework --Hadoop distributed processing of large data
technology originated with Hadoop development and application scenarios analysis
Hadoop technology is currently factory version comparison and product feature analysis HDP, CDH and other
Hadoop telecommunications industry application of case analysis
Hadoop HDFS file system principle in-depth analysis and HA, Federation
Hadoop MapReduce principle of in-depth analysis
Hadoop Yarn principles depth analysis
Hadoop cluster planning and precautions
share Hadoop ecosystem analysis and architecture design skills
opportunities and challenges of cloud computing and OpenStack cloud platform technology overview of cloud computing and OpenStack cloud platform technology
status quo OpenStack open source community, dynamic and future direction
OpenS the impact of cloud computing tack side of a pattern for the industry at home and abroad and case studies
openstack overall system architecture
nova System Architecture Overview
swift overview of the system architecture
g1ance system architecture overview of
the principles of the OpenStack
cloud computing
cloud storage
mirroring service
for data center virtualization
-based solutions to domestic and foreign OpenStack OpenStack cloud computing cases and status of
OpenStack (private cloud) solutions for enterprise
case analysis
technology architecture
OpenStack case of internet-facing solutions and technology infrastructure (public cloud) in the
case analysis
technology architecture
OpenStack cloud platform than several other cloud platform
OpenStack cloud platform than several other cloud platforms (OpenStack, CloudStack, OpenNebula)
OpenStack The core component
calculated (compute): Nova
object store (Object): Swift
image (Image): Glance
identity (identity): Keystone
self-Service portal (Dashboard): Horizon
network & address management: Quantum & Melange
load balancing: Atlas-LB (Rackspace )
message queue: Burrow (Piston)
cloud management tool: Clanavi (Drupal)
automatic deployment: Crowbar (Dell)
service deployment: Juju (Ubuntu)
Relational databases: RedDwarf (Rackspace)

Construction set OpenStack private cloud based on the correct hardware and network environments
determined deployment assembly position
controller: Run message server, database, and other components to orchestrate cloud
computing nodes constructing the external interface: the API server
to establish the network administrator Web Control Taiwan
monitoring of cloud
management to the cloud

Official website 2: www.info-soft.cn br /> call: 010-62883247,62884854
mail consultation: [email protected]
Zhongkexin soft Senior Technical Service Training Address: Beijing in Haidian Road 18 No. shine Oriental Plaza, Block N 520/521.

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Origin blog.51cto.com/14754730/2480402