Oversikt over relevante kurs innen Kurs i programvare og applikasjoner i Ørskog

AZ-1008: Administer Active Directory Domain Services [-]

Check Point Certified Security Expert (CCSE) – R81.20 [-]

  Studieår: 2013-2014   Gjennomføring: Høst og vår Antall studiepoeng: 5.0 Forutsetninger: Studenten må kunne installere programvare, og programmere. Vanlige programmeringsspråk for opensource er C, C++, java, python, m.fl. Innleveringer:   Vurderingsform: Skriftlig eksamen, individuell, 3 timer, teller 60 %. Prosjektoppgave teller 40 %. Ansvarlig: Helge Hafting Eksamensdato: 02.12.13 / 05.05.14         Læremål: KUNNSKAPER:Kandidaten:- kan forklare bakgrunnen for open source, og forskjellen på de vanligste åpne lisensene.- kan beskrive bruk av flerspråklig programvare FERDIGHETER:Kandidaten:- kan bruke vanlige programmeringsverktøy GENERELL KOMPETANSE:Kandidaten:- kan delta i prosjekter som utvikler åpen programvare videre Innhold:Historien og filosofien bak åpen kildekode. Copyright, lisenser fri programvare. Praktisk bruk av verktøyer som make, diff, patch og versjonskontrollsystemer. Internasjonalisering, flerspråklig programvare. Prosjektarbeid med deltakelse i opensource-prosjekt.Les mer om faget her Påmeldingsfrist: 25.08.13 / 25.01.14         Velg semester:  Høst 2013    Vår 2014     Fag Opensource-utvikling 4980,-         Semesteravgift og eksamenskostnader kommer i tillegg.    [-]

COURSE OVERVIEW  Learn how to implement security principles within an enterprise network and how to overlay network design by using solutions such as SD-Access and SD-WAN. The automation and programmability of Enterprise networks is also incorporated in this course. This course will help you: Configure, troubleshoot, and manage enterprise wired and wireless networks Implement security principles within an enterprise network Earn 64 CE credits toward recertification   Please note that this course is a combination of Instructor-Led and Self-Paced Study - 5 days in the classroom and approx. 3 days of self study. The self-study content will be provided as part of the digital courseware that you receive at the beginning of the course and should be part of your preparation for the exam. Additional lab access will be provided at the end of the class, this will be valid for 60 hours or 90 days whichever is the shorter. It will be possible to complete all but 7 of the labs after the class. TARGET AUDIENCE Network engineers involved in the installation, support and troubleshooting of enterprise networks. COURSE OBJECTIVES After completing this course you should be able to: Illustrate the hierarchical network design model and architecture using the access, distribution, and core layers Compare and contrast the various hardware and software switching mechanisms and operation, while defining the Ternary Content Addressable Memory (TCAM) and Content Addressable Memory (CAM), along with process switching, fast switching, and Cisco Express Forwarding concepts Troubleshoot Layer 2 connectivity using VLANs and trunking Implementation of redundant switched networks using Spanning Tree Protocol Troubleshooting link aggregation using EtherChannel Describe the features, metrics, and path selection concepts of Enhanced Interior Gateway Routing Protocol (EIGRP) Implementation and optimization of Open Shortest Path First (OSPF)v2 and OSPFv3, including adjacencies, packet types, and areas, summarization, and route filtering for IPv4 and IPv6 Implementing External Border Gateway Protocol (EBGP) interdomain routing, path selection, and single and dual-homed networking Implementing network redundancy using protocols including Hot Standby Routing Protocol (HSRP) and Virtual Router Redundancy Protocol (VRRP) Implementing internet connectivity within Enterprise using static and dynamic Network Address Translation (NAT) Describe the virtualization technology of servers, switches, and the various network devices and components Implementing overlay technologies such as Virtual Routing and Forwarding (VRF), Generic Routing Encapsulation (GRE), VPN, and Location Identifier Separation Protocol (LISP) Describe the components and concepts of wireless networking including Radio Frequency (RF) and antenna characteristics, and define the specific wireless standards Describe the various wireless deployment models available, include autonomous Access Point (AP) deployments and cloud-based designs within the centralized Cisco Wireless LAN Controller (WLC) architecture Describe wireless roaming and location services Describe how APs communicate with WLCs to obtain software, configurations, and centralized management Configure and verify Extensible Authentication Protocol (EAP), WebAuth, and Pre-shared Key (PSK) wireless client authentication on a WLC Troubleshoot wireless client connectivity issues using various available tools Troubleshooting Enterprise networks using services such as Network Time Protocol (NTP), Simple Network Management Protocol (SNMP), Cisco Internetwork Operating System (Cisco IOS®) IP Service Level Agreements (SLAs), NetFlow, and Cisco IOS Embedded Event Manager Explain the use of available network analysis and troubleshooting tools, which include show and debug commands, as well as best practices in troubleshooting Configure secure administrative access for Cisco IOS devices using the Command-Line Interface (CLI) access, Role-Based Access Control (RBAC), Access Control List (ACL), and Secure Shell (SSH), and explore device hardening concepts to secure devices from less secure applications, such as Telnet and HTTP Implement scalable administration using Authentication, Authorization, and Accounting (AAA) and the local database, while exploring the features and benefits Describe the enterprise network security architecture, including the purpose and function of VPNs, content security, logging, endpoint security, personal firewalls, and other security features Explain the purpose, function, features, and workflow of Cisco DNA Centre™ Assurance for Intent-Based Networking, for network visibility, proactive monitoring, and application experience Describe the components and features of the Cisco SD-Access solution, including the nodes, fabric control plane, and data plane, while illustrating the purpose and function of the Virtual Extensible LAN (VXLAN) gateways Define the components and features of Cisco SD-WAN solutions, including the orchestration plane, management plane, control plane, and data plane Describe the concepts, purpose, and features of multicast protocols, including Internet Group Management Protocol (IGMP) v2/v3, Protocol-Independent Multicast (PIM) dense mode/sparse mode, and rendezvous points Describe the concepts and features of Quality of Service (QoS), and describe the need within the enterprise network Explain basic Python components and conditionals with script writing and analysis Describe network programmability protocols such as Network Configuration Protocol (NETCONF) and RESTCONF Describe APIs in Cisco DNA Centre and vManage COURSE CONTENT Examining Cisco Enterprise Network Architecture Cisco Enterprise Architecture Model Campus LAN Design Fundamentals Traditional Multilayer Campus Layer Design Campus Distribution Layer Design   Understanding Cisco Switching Paths Layer 2 Switch Operation Control and Data Plane Cisco Switching Mechanisms Implementing Campus LAN Connectivity Revisiting VLANs Trunking with 802.1Q Inter-VLAN Routing Building Redundant Switched Topology Spanning-Tree Protocol Overview Spanning-Tree Protocol Operation Spanning-Tree Protocols Types and Features Multiple Spanning Tree Protocol PortFast and BPDU Implementing Layer 2 Port Aggregation (Self-Study) Need for EtherChannel EtherChannel Mode Interactions Layer 2 EtherChannel Configuration Guidelines EtherChannel Load-Balancing Options Troubleshoot EtherChannel Issues Understanding EIGRP EIGRP Features EIGRP Reliable Transport Establishing EIGRP Neighbour Adjacency EIGRP Metrics EIGRP Path Selection Explore EIGRP Path Selection Explore EIGRP Load Balancing and Sharing EIGRP for IPv6 Compare EIGRP and OSPF Routing Protocols Implementing OSPF Describe OSPF The OSPF Process OSPF Neighbour Adjacencies Building a Link-State Database OSPF LSA Types Compare Single-Area and Multi-Area OSPF OSPF Area Structure OSPF Network Types Optimizing OSPF OSPF Cost OSPF Route Summarization Benefits OSPF Route Filtering Tools Compare OSPFv2 and OSPFv3 Exploring EBGP Interdomain Routing with BGP BGP Operations Types of BGP Neighbour Relationships BGP Path Selection BGP Path Attributes Implementing Network Redundancy Need for Default Gateway Redundancy Define FHRP HSRP Advanced Features Cisco Switch High Availability Features Implementing NAT Define Network Address Translation NAT Address Types Explore NAT Implementations NAT Virtual Interface Introducing Virtualisation Protocols and Techniques Server Virtualisation Need for Network Virtualisation Path Isolation Overview Introducing VRF Introducing Generic Routing Encapsulation Introducing Virtualisation Protocols and Techniques Server Virualization Need for Network Virtualisation Path Isolation Overview Introducing VRF Introducing Generic Routing Encapsulation Understanding Virtual Private Networks and Interfaces Site-to-Site VPN Technologies IPSec VPN Overview IPSec: IKE IPsec Modes IPsec VPN Types Cisco IOS VTI Understanding Wireless Principles Explain RF Principles Describe Watts and Decibels Describe Antenna Characteristics Describe IEEE Wireless Standards Identify Wireless Component Roles Examining Wireless Deployment Options Wireless Deployment Overview Describe Autonomous AP Deployment Describe Centralized Cisco WLC Deployment Describe FlexConnect Deployment Cloud Deployment and Its Effect on Enterprise Networks Describe the Cloud-Managed Meraki Solution Cisco Catalyst 9800 Series Controller Deployment Options Describe Cisco Mobility Express Understanding Wireless Roaming and Location Services Wireless Roaming Overview Mobility Groups and Domains Wireless Roaming Types Describe Location Services Examining Wireless AP Operation Universal AP Priming Explore the Controller Discovery Process Describe AP Failover Explain High Availability Explore AP Modes Understanding Wireless Client Authentication Authentication Methods Pre-Shared Key (PSK) Authentication 802.1X User Authentication Overview PKI and 802.1X Certificate Based Authentication Introduction to Extensible Authentication Protocol EAP-Transport Layer Security (EAP-TLS) Protected Extensible Authentication Protocol EAP-FAST Guest Access with Web Auth Troubleshooting Wireless Client Connectivity Wireless Troubleshooting Tools Overview Spectrum Analysis Wi-Fi Scanning Packet Analysis Cisco AireOS GUI and CLI Tools Cisco Wireless Config Analyzer Express Common Wireless Client Connectivity Issues Overview Client to AP Connectivity WLAN Configuration Infrastructure Configuration Introducing Multicast Protocols (Self-study) Multicast Overview Internet Group Management Protocol Multicast Distribution Trees IP Multicasting Routing Rendezvous Point Introducing QoS (Self-study) Understand the Impact of User Applications on the Network Need for Quality of Service (QoS) Describe QoS Mechanisms Define and Interpret a QoS Policy Implementing Network Services Understanding Network Time Protocol Logging Services Simple Network Management Protocol Introducing NetFlow Flexible NetFlow Understanding Cisco IOS Embedded Event Manager Using Network Analysis Tools Troubleshooting Concepts Network Troubleshooting Procedures: Overview Network Troubleshooting Procedures: Case Study Basic Hardware Diagnostics Filtered Show Commands Cisco IOS IP SLAs Switched Port Analyzer(SPAN) Overview Remote SPAN (RSPAN) Encapsulated Remote Switched Port Analyzer(ERSAPN) Cisco Packet Capture Tools Overview Implementing Infrastructure Security ACL Overview ACL Wildcard Masking Types of ACLs Configure Numbered Access Lists Use ACLs to Filter Network Traffic Apply ACLs to Interfaces Configured Named Access Lists Control Plane Overview Control Plane Policing Implementing Secure Access Control Securing Device Access AAA Framework Overview Benefits of AAA Usage Authentication Options RADIUS and TACACS+ Enabling AAA and Configuring a Local User for Fallback Configuring RADIUS for Console and VTY Access Configuring TACACS+ for Console and VTY Access Configure Authorization and Accounting Understanding Enterprise Network Security Architecture (Self-study) Explore Threatscape Cisco Intrusion Prevention Systems Virtual Private Networks Content Security Logging Endpoint Security Personal Firewalls Antivirus and Antispyware Centralized Endpoint Policy Enforcement Cisco AMP for Endpoints Firewall Concepts TrustSec MACsec Identity Management 802.1X for Wired and Wireless Endpoint Authentication MAC Authentication Bypass Web Authentication Exploring Automation and Assurance Using Cisco DNA Centre (Self-study) Need for Digital Transformation Cisco Digital Network Architecture Cisco Intent-Based Networking Cisco DNA Centre Automation Overview Cisco DNA Centre Platform Overview Cisco DNA Centre Design Cisco DNA Centre Inventory Overview Cisco DNA Centre Configuration and Management Overview Onboarding of Network Devices Using Cisco DNA Centre Cisco DNA Centre Software Image Management Overview Cisco DNA Assurance Key Features and Use Cases Cisco DNA Centre Assurance Implementation Workflow Examining the Cisco SD-Access Solution (Self-study) Need for Cisco SD-Access Cisco SD Access Overview Cisco SD-Access Fabric Components Cisco SD-Access Fabric Control Plane Based on LISP Cisco SD-Access Fabric Control Plane Based on VXLAN Cisco SD-Access Fabric Control Plane Based on Cisco TrustSec Role of Cisco ISE and Cisco DNA Centre in SD-Access Cisco SD-Access Wireless Integration Traditional Campus Interoperating with Cisco SD-Access Understanding the Working Principles of the Cisco SD-WAN Solution (Self-study) Need for Software Defined Networking for WAN Cisco SD-WAN Components and Functions Cisco SD-WAN Orchestration Plane Cisco SD-WAN Management Plane- vManage Cisco SD-WAN Control Plane - vSmart Cisco SD-WAN Data Plane - WAN Edge Cisco SD-WAN Programmatic APIs Cisco SD-WAN Automation and Analytics Cisco SD-WAN Terminology Cisco IOS XE and IOS XE SD-WAN Software Flexible Controller Deployment Options Cisco SD-WAN Security Understanding the Basics of Python Programming Describe Python Concepts String Data Types Numbers Data Types Boolean Data Types Script Writing and Execution Analyse Code Introducing Network Programmability Protocols Configuration Management Evolution of Device Management and Programmability Data Encoding Formats Understanding JSON Model Driven Programmability Stack Introduction to YANG Types of YANG Models Understanding NETCONF Explain NETCONF and YANG REST Understanding RESTCONF Protocol Introducing APIs in Cisco DNA Centre and vManage (Self-study) Application Programming Interfaces REST API Response Codes and Results REST API Security Cisco DNA Centre APIs Cisco SD-WAN REST API Overview Labs Lab 1: Investigate the CAM Lab 2: Analyse Cisco Express Forwarding Lab 3: Troubleshoot VLAN and Trunk Issues Lab 4: Tuning STP and Configuring RSTP Lab 5: Configure Multiple Spanning Tree Protocol Lab 6: Troubleshoot EtherChannel Lab 7: Implementing Multiarea OSPF Lab 8: Implement OSPF Tuning Lab 9: Apply OSPF Optimization Lab 10: Implement OSPFv3 Lab 11: Configure and Verify Single-Homed EBGP Lab 12: Implementing HSRP Lab 13: Configure VRRP Lab 14: Implement NAT Lab 15: Configure and Verify VRF Lab 16: Configure and Verify a GRE Tunnel Lab 17: Configure Static VTI Point-to-Point Tunnels Lab 18: Configure Wireless Client Authentication in a Centralized Deployment (No Extended Access) Lab 19: Troubleshoot Wireless Client Connectivity Issues (No Extended Access) Lab 20: Configure Syslog Lab 21: Configure and Verify Flexible NetFlow Lab 22: Configuring Cisco IOS Embedded Event Manager (EEM) Lab 23: Troubleshoot Connectivity and Analyse Traffic with Ping, Traceroute and Debug Lab 24: Configure and Verify Cisco IP SLA's Lab 25: Configure Standard and Extended ACLs Lab 26: Configure Control Plane Policing Lab 27: Implement Local and Server-Based AAA (No Extended Access) Lab 28: Writing and Troubleshooting Python Scripts (No Extended Access) Lab 29: Explore JSON Objects and Scripts in Python (No Extended Access) Lab 30: Use NETCONF via SSH (No Extended Access) Lab 31: Use RESTCONF with Cisco IOS XE Software (No Extended Access) [-]

Kursinstruktør Geir Johan Gylseth Geir Johan Gylseth er utdannet ved Universitetet i Oslo med hovedvekt på Informatikk og har over 30 års erfaring som instruktør. Geir sin styrke ligger innenfor MS Office. Han har lang erfaring med skreddersøm av kurs, kursmanualer og oppgaver. Geir er en entusiastisk og dyktig instruktør som får meget gode evalueringer.   Kursinnhold Bruker du mye tid i Word på å få gjort enkle arbeidsoppgaver? Forskyver sidene seg når du skriver inn mer tekst? Deler ord seg på steder du ikke vil? Er det vanskelig å få plassert bilder og tegninger der du ønsker? Får du ikke sideskiftene der du ønsker? Blir ikke sidetallene dine slik du hadde tenkt deg?   Dette er vanlige problemstillinger mange sliter med og som blir borte etter endt kurs! På kun 2 dager vil du mestre de vanligste arbeidsoppgavene i Word. Du lærer gode rutiner og hurtigtastene du trenger for å kunne arbeide raskt og effektivt. Du vil kunne lage alt fra enkle til mer avanserte dokumenter, brev og rapporter og vil føle deg trygg på at det er du som kontrollerer Word og ikke omvendt! Du vil også få en rekke tips og triks du kan bruke i din arbeidsdag.  Alt du lærer får du repetert gjennom aktiv oppgaveløsning slik at du husker det du har lært når du kommer tilbake på jobb. Kursdokumentasjon, lunsj og pausemat er selvsagt inkludert! Kursholderne har mer enn 20 års Word erfaring som de gjerne deler med deg! Kurset passer for deg med liten erfaring og som ønsker å lære Word fra grunnen av. Kurset passer også for deg som er selvlært og som ønsker å jobbe mer effektivt. Meld deg på Word-kurs allerede i dag og sikre deg plass!   Bli kjent med Word OppstartÅpning Visninger Navigering Nye dokumenter Innskriving Lagring og lukking   Redigering Merking Sletting og erstatting Symboler og spesialtegn Angremuligheter Sammenslåing og deling av avsnitt Flytting og kopiering Søking og erstatting   Formatering Hva er formatering? Tegnformatering Avsnittsformatering Justering Innrykk Punktlister og nummererte lister Kopiering av format Stiler   Sideformatering Inndelinger Marger Papirretning og størrelse Topptekst og bunntekst Sidetall og dokumentinformasjon Forsider og tomme sider Hardt sideskift Dokumenttema   Språkverktøy Autokorrektur Byggeblokker  Stave- og grammatikkontroll Orddeling Dato og klokkeslett   Utskrift Utskriftsformat Forhåndsvisning Utskrift   Tabeller Utforming av tabeller Merking Innsetting og sletting Flytting og kopiering Tabellstiler Radhøyde og kolonnebredde Justering Kantlinjer og skyggelegging   Bilder og objekter Bruk av bilder Utklipp og bildefiler Tekstbryting og plassering   Fletting Utskriftsfletting Hoveddokument Datakilde Innsetting av flettefelt Fletting     [-]

Kursinnhold Flash Fill Diagrammer Sparkline grafikk Hurtiganalyse Sortering og filtrering Avansert filter Delsammendrag Tabeller Målgruppe Deg som Jobber med lister i Excel Ønsker å effektivisere databehandlingen i Excel Vil ha en kjapp gjennomgang av disse elementene. Har grunnleggende kunnskaper i Excel og ønsker å lære mer. Forkunnskaper Har laget regneark Har kunnskaper tilsvarende «Ta kontroll over regnearket» Det er fordelaktig å ha to skjermer - en til å følge kurset og en til å gjøre det kursholder demonstrerer. Kurset gjennomføres i sanntid med nettundervisning via Teams. Det blir mulighet for å stille spørsmål, ha diskusjoner, demonstrasjoner og øvelser. Du vil motta en invitasjon til Teams fra kursholder. [-]

Forsiden på området er det første brukerne møter. På dette webinaret lærer du hvordan man kan løfte frem SharePoint-innhold på forsiden via forsideredigering, samt hvordan man lager gode område-forsider generelt. Webinaret varer i 2 timer og består av to økter à 45 min. Etter hver økt er det 10 min spørsmålsrunde. Mellom øktene er det 10 min pause. Webinaret kan også spesialtilpasses og holdes bedriftsinternt kun for din bedrift.   Kursinnhold:   Forstå SharePoint håndtering av forsider Wiki bibliotek Legge til flere sider Versjonering Områdets startside   Bli kjent med formateringsvalg Generelle sideoppsett Tabeller for å styre layout   Håndtere bilder og grafikk Områdeinnhold   Tilpass webdeler for å løfte frem innhold fra forskjellige kilder Sette inn app-del App-/webdel-spesifike visninger Webdel-side   Eksempler på anvendelse av webdeler Appdel for bibliotek basert på visning Medlemmer Presentere person   [-]

Dykke ned i verden av råformat-bildebehandling med "Camera Raw: Komplett", ledet av Espen Faugstad hos Utdannet.no. Adobe Camera Raw, lansert i 2003, er et kraftig verktøy for import og forbedring av råformatbilder og er integrert i flere Adobe-programmer som Bridge, Photoshop, og Lightroom. Dette kurset er designet for å gi deg en grundig forståelse av Camera Raw, uavhengig av tidligere erfaring. Du vil lære hvordan du effektivt beskjærer bilder, justerer hvitbalanse, eksponering og fargemetning. Kurset dekker også hvordan du korrigerer bildeperspektiv og objektivfeil, og hvordan du anvender lokaljusteringer for å forbedre dine bilder. Espen vil guide deg gjennom de forskjellige aspektene av Camera Raw, fra grunnleggende til mer avanserte teknikker. Med praktiske prosjekter og eksempler vil du få praktisk erfaring som vil tillate deg å anvende din nye kunnskap til dine egne fotoprosjekter. Ved kursets slutt vil du ha en dyptgående forståelse av Camera Raw og være i stand til å bruke verktøyet for å forbedre dine bilder på en profesjonell måte.   Innhold: Kapittel 1: Introduksjon Kapittel 2: Beskjære Kapittel 3: Basic Kapittel 4: Detail Kapittel 5: Lens corrections Kapittel 6: Resterende Kapittel 7: Spot removal Kapittel 8: Adjustment brush Kapittel 9: Filters Kapittel 10: Prosjekter Kapittel 11: Eksportere Kapittel 12: Avslutning   Varighet: 2 timer og 50 minutter   Om Utdannet.no: Utdannet.no tilbyr noen av landets beste digitale nettkurs. Tjenesten fungerer på samme måte som strømmetjenester for musikk eller TV-serier. Våre kunder betaler en fast månedspris og får tilgang til alle kursene som er produsert så langt. Plattformen har hatt en god vekst de siste årene og kan skilte med 30.000 registrerte brukere og 1,5 millioner videoavspillinger. Vårt mål er å gjøre kompetanseutvikling moro, spennende og tilgjengelig for alle – og med oss har vi Innovasjon Norge og Forskningsrådet. [-]

Achieve More med MS Outlook (tidl. FTG) [-]

The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics. After completing this course, students will be able to: Explore compute and storage options for data engineering workloads in Azure Design and Implement the serving layer Understand data engineering considerations Run interactive queries using serverless SQL pools Explore, transform, and load data into the Data Warehouse using Apache Spark Perform data Exploration and Transformation in Azure Databricks Ingest and load Data into the Data Warehouse Transform Data with Azure Data Factory or Azure Synapse Pipelines Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines Optimize Query Performance with Dedicated SQL Pools in Azure Synapse Analyze and Optimize Data Warehouse Storage Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link Perform end-to-end security with Azure Synapse Analytics Perform real-time Stream Processing with Stream Analytics Create a Stream Processing Solution with Event Hubs and Azure Databricks Build reports using Power BI integration with Azure Synpase Analytics Perform Integrated Machine Learning Processes in Azure Synapse Analytics Course prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.Recommended prerequisites:M-DP900 - Microsoft Azure Data FundamentalsM-AZ900 - Microsoft Azure Fundamentals Agenda Module 1: Explore compute and storage options for data engineering workloads This module provides an overview of the Azure compute and storage technology options that are available to data engineers building analytical workloads. This module teaches ways to structure the data lake, and to optimize the files for exploration, streaming, and batch workloads. The student will learn how to organize the data lake into levels of data refinement as they transform files through batch and stream processing. Then they will learn how to create indexes on their datasets, such as CSV, JSON, and Parquet files, and use them for potential query and workload acceleration. Module 2: Design and implement the serving layer This module teaches how to design and implement data stores in a modern data warehouse to optimize analytical workloads. The student will learn how to design a multidimensional schema to store fact and dimension data. Then the student will learn how to populate slowly changing dimensions through incremental data loading from Azure Data Factory. Module 3: Data engineering considerations for source files This module explores data engineering considerations that are common when loading data into a modern data warehouse analytical from files stored in an Azure Data Lake, and understanding the security consideration associated with storing files stored in the data lake. Module 4: Run interactive queries using Azure Synapse Analytics serverless SQL pools In this module, students will learn how to work with files stored in the data lake and external file sources, through T-SQL statements executed by a serverless SQL pool in Azure Synapse Analytics. Students will query Parquet files stored in a data lake, as well as CSV files stored in an external data store. Next, they will create Azure Active Directory security groups and enforce access to files in the data lake through Role-Based Access Control (RBAC) and Access Control Lists (ACLs). Module 5: Explore, transform, and load data into the Data Warehouse using Apache Spark This module teaches how to explore data stored in a data lake, transform the data, and load data into a relational data store. The student will explore Parquet and JSON files and use techniques to query and transform JSON files with hierarchical structures. Then the student will use Apache Spark to load data into the data warehouse and join Parquet data in the data lake with data in the dedicated SQL pool. Module 6: Data exploration and transformation in Azure Databricks This module teaches how to use various Apache Spark DataFrame methods to explore and transform data in Azure Databricks. The student will learn how to perform standard DataFrame methods to explore and transform data. They will also learn how to perform more advanced tasks, such as removing duplicate data, manipulate date/time values, rename columns, and aggregate data. Module 7: Ingest and load data into the data warehouse This module teaches students how to ingest data into the data warehouse through T-SQL scripts and Synapse Analytics integration pipelines. The student will learn how to load data into Synapse dedicated SQL pools with PolyBase and COPY using T-SQL. The student will also learn how to use workload management along with a Copy activity in a Azure Synapse pipeline for petabyte-scale data ingestion. Module 8: Transform data with Azure Data Factory or Azure Synapse Pipelines This module teaches students how to build data integration pipelines to ingest from multiple data sources, transform data using mapping data flowss, and perform data movement into one or more data sinks. Module 9: Orchestrate data movement and transformation in Azure Synapse Pipelines In this module, you will learn how to create linked services, and orchestrate data movement and transformation using notebooks in Azure Synapse Pipelines. Module 10: Optimize query performance with dedicated SQL pools in Azure Synapse In this module, students will learn strategies to optimize data storage and processing when using dedicated SQL pools in Azure Synapse Analytics. The student will know how to use developer features, such as windowing and HyperLogLog functions, use data loading best practices, and optimize and improve query performance. Module 11: Analyze and Optimize Data Warehouse Storage In this module, students will learn how to analyze then optimize the data storage of the Azure Synapse dedicated SQL pools. The student will know techniques to understand table space usage and column store storage details. Next the student will know how to compare storage requirements between identical tables that use different data types. Finally, the student will observe the impact materialized views have when executed in place of complex queries and learn how to avoid extensive logging by optimizing delete operations. Module 12: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link In this module, students will learn how Azure Synapse Link enables seamless connectivity of an Azure Cosmos DB account to a Synapse workspace. The student will understand how to enable and configure Synapse link, then how to query the Azure Cosmos DB analytical store using Apache Spark and SQL serverless. Module 13: End-to-end security with Azure Synapse Analytics In this module, students will learn how to secure a Synapse Analytics workspace and its supporting infrastructure. The student will observe the SQL Active Directory Admin, manage IP firewall rules, manage secrets with Azure Key Vault and access those secrets through a Key Vault linked service and pipeline activities. The student will understand how to implement column-level security, row-level security, and dynamic data masking when using dedicated SQL pools. Module 14: Real-time Stream Processing with Stream Analytics In this module, students will learn how to process streaming data with Azure Stream Analytics. The student will ingest vehicle telemetry data into Event Hubs, then process that data in real time, using various windowing functions in Azure Stream Analytics. They will output the data to Azure Synapse Analytics. Finally, the student will learn how to scale the Stream Analytics job to increase throughput. Module 15: Create a Stream Processing Solution with Event Hubs and Azure Databricks In this module, students will learn how to ingest and process streaming data at scale with Event Hubs and Spark Structured Streaming in Azure Databricks. The student will learn the key features and uses of Structured Streaming. The student will implement sliding windows to aggregate over chunks of data and apply watermarking to remove stale data. Finally, the student will connect to Event Hubs to read and write streams. Module 16: Build reports using Power BI integration with Azure Synapase Analytics In this module, the student will learn how to integrate Power BI with their Synapse workspace to build reports in Power BI. The student will create a new data source and Power BI report in Synapse Studio. Then the student will learn how to improve query performance with materialized views and result-set caching. Finally, the student will explore the data lake with serverless SQL pools and create visualizations against that data in Power BI. Module 17: Perform Integrated Machine Learning Processes in Azure Synapse Analytics This module explores the integrated, end-to-end Azure Machine Learning and Azure Cognitive Services experience in Azure Synapse Analytics. You will learn how to connect an Azure Synapse Analytics workspace to an Azure Machine Learning workspace using a Linked Service and then trigger an Automated ML experiment that uses data from a Spark table. You will also learn how to use trained models from Azure Machine Learning or Azure Cognitive Services to enrich data in a SQL pool table and then serve prediction results using Power BI. [-]

Fleksible kurs for fremtidenNy kunnskap skal gi umiddelbar effekt, og samtidig være holdbar og bærekraftig på lang sikt. NTI AS har 30 års erfaring innen kurs og kompetanseheving, og utdanner årlig rundt 10.000 personer i Nord Europa innen CAD, BIM, industri, design og konstruksjon.   AutoCAD og LT Basis I Her er et utvalg av temaene du vil lære på kurset: AutoCADs brukergrensesnitt Den strategiske bruken av programmet fra start til slutt i tegningsprosessen Utføre og modifisere en tegning Bruk av tegneobjekter Bruk av redigeringsverktøy Laghåndtering, bruk av tekst og målsetting Håndtere layout og plotte den ferdige tegningen Etter kurset vil du ha god kjennskap til AutoCADs brukerflate og hvordan du skal bruke programmet gjennom hele tegneprosessen. Du vil kunne utføre og modifisere en tegning når det gjelder bruk av tegneobjekter, bruk av redigeringsverktøy, laghåndtering, tekstbruk og målsetning samt opprettelse og bruk av blokker. Du vil også kunne håndtere layout og plotte den ferdige tegningen. Dette er et populært kurs, meld deg på nå!   Tilpassete kurs for bedrifterVi vil at kundene våre skal være best på det de gjør - hele tiden.  Derfor tenker vi langsiktig om kompetanseutvikling og ser regelmessig kunnskapsløft som en naturlig del av en virksomhet. Vårt kurskonsept bygger på et moderne sett av ulike læringsmiljøer, som gjør det enkelt å finne riktig løsning uansett behov. Ta kontakt med oss på telefon 483 12 300, epost: salg@nticad.no eller les mer på www.nticad.no [-]

COURSE OVERVIEW . With extensive hands-on-labs, the class enables administrators and engineers to effectively manage data in an ever-changing technical and business environment, bringing tangible benefit to businesses in the digital world. This course is based on Veeam Availability Suite v11. TARGET AUDIENCE This course is suitable for anyone responsible for configuring, managing or supporting a Veeam Availability Suite v11 environment. COURSE OBJECTIVES After completing this course, attendees should be able to: Describe Veeam Availability Suite components usage scenarios and relevance to your environment. Effectively manage data availability in on-site, off-site, cloud and hybrid environments. Ensure both Recovery Time Objectives (RTOs) and Recovery Point Objectives (RPOs) are met. Configure Veeam Availability Suite to ensure data is protected effectively. Adapt with an organization’s evolving technical and business data protection needs. Ensure recovery is possible, effective, efficient, secure and compliant with business requirements. Provide visibility of the business data assets, reports and dashboards to monitor performance and risks. COURSE CONTENT Introduction Describe RTOs and RPOs, what they mean for your business, how to manage and monitor performance against them The 3-2-1 Rule and its importance in formulating a successful backup strategy Identify key Veeam Availability Suite components and describe their usage scenarios and deployment types Building Backup Capabilities Backup methods, the appropriate use cases and impact on underlying file systems Create, modify, optimize and delete backup jobs, including Agents and NAS Backup jobs. Explore different tools and methods to maximize environment performance Ensure efficiency by being able to select appropriate transport modes while being aware of the impact of various backup functions on the infrastructure Building Replication Capabilities Identify and describe the options available for replication and impacts of using them Create and modify replication jobs, outline considerations to ensure success Introduce the new Continuous Data Protection (CDP) policy Secondary Backups Simple vs. advanced backup copy jobs, how to create and modify them using best practices to ensure efficient recovery Discuss using tapes for backups Advanced Repository Capabilities Ensure repository scalability using a capability such as SOBR on-premises and off-site including integration with cloud storage Ensure compatibility with existing deduplication appliances Introduce the new hardened repository Protecting Data in the Cloud Review how Veeam can protect the data of a cloud native application Review how Veeam Cloud Connect enables you to take advantage of cloud services built on Veeam Review how Veeam can be used to protect your Office 365 data Restoring from Backup Ensure you have the confidence to use the correct restore tool at the right time for restoring VMs, bare metal and individual content such as files and folders Utilize Secure Restore to prevent the restoration of malware Describe how to use Staged Restore to comply with things like General Data Protection Regulation (GDPR) before releasing restores to production Identify, describe and utilize the different explores and instant recovery tools and features Recovery from Replica Identify and describe in detail, failover features and the appropriate usage Develop, prepare and test failover plans to ensure recovery Disaster recovery from replica to meet a variety of real-world recovery needs Testing Backup and Replication Testing backups and replicas to ensure you can recover, what you need, when you need to Configure and setup virtual sandbox environments based on backup, replicas and storage snapshots Veeam Backup Enterprise Manager and Veeam ONE Introduce the concept of monitoring your virtual, physical and cloud environments with Veeam Backup Enterprise Manager and Veeam ONE™ Configuration Backup Locate, migrate or restore backup configuration   TEST CERTIFICATION Completion of this course satisfies the prerequisite for taking the Veeam Certified Engineer (VMCE) 2021 exam. [-]

MoP® Practitioner [-]

Sliter du med å importere data og lage rapporter/analysegrunnlag i Excel? Et riktig grunnlag er avgjørende for en god rapport! Se hvor enkelt man lager rapporter og analyserer data med Pivottabeller. Webinaret varer i 2 timer og består av to økter à 45 min. Etter hver økt er det 10 min spørsmålsrunde. Mellom øktene er det 10 min pause. Webinaret kan også spesialtilpasses og holdes bedriftsinternt kun for din bedrift.   Kursinnhold:   Import av tekstfil med problemer   Bruk veiviser for å importere tekstfil Fiks ulike problemstilling allerede i veiviser   Kort repetisjon av prinsipper om å arbeide med lister   Datavask - opprydding i grunnlaget Lær ulike metoder for å rydde opp i grunnlaget   Tabellfunksjonalitet Formater liste som tabell Bli kjent med fordeler å jobbe mot tabell Bli kjent med strukturere cellereferanser   Pivotteknikk [-]

Dette kurset er skreddersydd for deltakere som allerede har fullført vårt grunnleggende Excel-kurs og nå ønsker å ta sine ferdigheter til et avansert nivå. Kursinstruktør Espen Faugstad vil veilede deg gjennom en rekke avanserte emner, inkludert opprettelse av pivottabeller, bruk av funksjoner og formler, og mye mer. Kurset dekker grundig bruken av en rekke funksjoner og formler, inkludert SUMMER, MIN, MAKS, AVKORT, AVRUND, ANTALL, ANTALLA, KJEDE.SAMMEN, TRIMME, VENSTRE, HØYRE, DELTEKST, FINN.RAD, HVIS, SUMMERHVIS, ANTALL.HVIS og GJENNOMSNITTHVIS. I tillegg vil kurset veilede deg gjennom henting av ekstern data, sortering og filtrering, fjerning av duplikater, og gruppering av data.   Innhold: Kapittel 1: Pivottabeller Kapittel 2: Formler og Funksjoner Kapittel 3: Formelrevisjon Kapittel 4: Ekstern Data Kapittel 5: Sortering og Filtrering Kapittel 6: Dataverktøy Kapittel 7: Gruppering av Data Kapittel 8: Arkbeskyttelse Kapittel 9: Avslutning   Varighet: 2 timer og 17 minutter   Om Utdannet.no: Utdannet.no tilbyr noen av landets beste digitale nettkurs. Vår tjeneste fungerer på samme måte som strømmetjenester for musikk eller TV-serier, der våre kunder betaler en fast månedspris for tilgang til alle kursene vi har tilgjengelig. Vi har opplevd betydelig vekst de siste årene, med over 30 000 registrerte brukere og 1,5 millioner videoavspillinger. Vårt mål er å gjøre kompetanseutvikling engasjerende, spennende og tilgjengelig for alle, og vi har støtte fra Innovasjon Norge og Forskningsrådet. [-]