KLA-BIGDA - Big Data (BIGDA)

DURATION
3 days

LEVEL
Basic

OBJECTIVES
Acquire skills on SDN networks design, Implementation and Troubleshooting.
Understand Virtualization of Network Nodes in Datacenter Environment and develop skills to Manage and Troubleshoot.
Acquire skills on MS SQL Server Implementation and Management.
Acquire skills on MS Windows Server Implementation and Management.
Understand Datacenter components, availability and design principles in order to build or choose the right infrastructure to implement enterprise services.
Understand, Plan, Design and Configure SAN, NAS and Server SAN Solutions in a Datacenter Environment.
Implement Big Data Collection and Analysis through Hadoop Framework.

PREREQUISITES
Basic Networking knowledge
Basic Networking and Datacenter knowledge
Basic MS Windows Server knowledge
Basic MS Windows Server knowledge
Basic Datacenter Knowledge
Basic IT Knowledge
Basic IT Knowledge

WHO SHOULD ATTEND
Technical Staff involved in Datacenter Network design, implementation and troubleshooting.
Technical Staff involved in Datacenter Network design, implementation and troubleshooting.
IT Admin and Technical Staff involved in MS SQL DB installation and management.
IT Admin and Technical Staff involved in MS SQL DB installation and management.
IT Managers and Technical Staff involved in Datacenter Design, Implementation and Management.
IT Admin and Technical Staff involved in Storage Solutions Design, Installation and Management.
Data Scientist, IT Admin and Technical Staff involved in Big Data Storage, Processing and Analysis.

TOPICS
Data Center Architecture
Region Types
SDN Controller
VXLAN Technology
BGP EVPN
Netconf
OVSDB
Openflow Protocol
Data Center Interconnection
Data Center Automation
Monitor and Troubleshooting
Hardware COTS
NFV Implementation on a Communication Service Provider environment
Hypervisor Installation and Configuration
Network functions virtualization management and orchestration (MANO)
Automation and Elastic Service
Multitenancy Management
Virtual Network Function Deployment
High Availability and Snapshots
Backup and Disaster Recovery
DB Creation
DB File Structures
DB Snapshots
Table Selection
Fields and Records Filters
Regular Expression
Queries: Select, From, When, Case, Like…
Inner and Outer Joins
Aliases
Triggers and Management
XQuery Metod (XML Query)
XML Binding to SQL
Openxml Parameters for T-SQL
MS Windows Server features
Domain Controller
Active Directory Configuration and Management
Management and Troubleshooting with Powershell
LDAP and Kerberos Protocols
Global Catalog
Forest, Trees and Trust
Group Policies
DNS Server Configuration
Radius Server Configuration
Certification Authority Management
MS IIS
Datacenter Components
Power and Cooling Design
Environmental Monitoring and Alarms Systems
SCADA Protocols and applications
Datacenter Avaliability: Ansi-TIA 942
Network Infrastructure: Spine and Leaf
Computing solutions: Rack, High Density and Blade Servers
SAN solutions: full Flash SAN and Server SAN
Cloud Services: Colocation and IAAS"
Hard Disk Performance
RAID Types
SAN Protocols (iSCSI, Fibre Channel)
Block Storage and Object Storage
SAN Configuration (Disk Domain, Storage Pool, LUN)
Storage Virtualization
Storage Synchronization
NAS features and Configuration
Storage SAN Solution Design and Configuration
Storage As A Service (AWS S3 and MS Azure Blob)"
Structured and Unstructured Data
HDFS Hadoop Distributed File System
MapReduce Distributed Off-line Batch Processing
Yarn Resource Negotiator
Spark2x In-memory Distributed Computing Engine
HBase Distributed NoSQL Database
Hive Distributed Data Warehouse
Streaming Distributed Stream Computing Engine
Flink Stream Processing and Batch Processing Platform
Loader Data Transformation
Flume Massive Logs Aggregation
Kafka Distributed Message Subscription System
Zookeeper Cluster Distributed Coordination Service