K Labs goes along with you providing you with its Certified Trainers, Training Laboratories, Exam Simulators, the Test Center and a dedicated Tutor that helps you to prepare for the exam.
Thanks to our support, the percentage of candidates who obtain the certification at the first attempt is very close to 100%.
Attending one of the courses of this category and passing the related skills assessment test, you will get the "Data Engineering" CERTIFIED ENGINEER Digital Badge to share on your preferred Social Networks.
DATA ENGINEERINGDIGITAL TRANSFORMATIONPOPULAR catalogo
NewCondition€2281.40 Pre-Order
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