Oversikt over relevante kurs innen IT-kurs i Hele landet

The course focuses on teaching individuals how to use SQL Server 2016 product features and tools related to developing a database. After completing this course, students will be able to: Design and Implement Tables. Describe advanced table designs Ensure Data Integrity through Constraints. Describe indexes, including Optimized and Columnstore indexes Design and Implement Views. Design and Implement Stored Procedures. Design and Implement User Defined Functions. Respond to data manipulation using triggers. Design and Implement In-Memory Tables. Implement Managed Code in SQL Server. Store and Query XML Data. Work with Spatial Data. Store and Query Blobs and Text Documents. Module 1: Introduction to Database Development Before beginning to work with Microsoft SQL Server in either a development or an administration role, it is important to understand the scope of the SQL Server platform. In particular, it is useful to understand that SQL Server is not just a database engine—it is a complete platform for managing enterprise data. SQL Server provides a strong data platform for all sizes of organizations, in addition to a comprehensive set of tools to make development easier, and more robust. Lessons Introduction to the SQL Server Platform SQL Server Database Development Tasks Lab : SQL Server Database Development Tasks After completing this module, you will be able to: Describe the SQL Server platform. Use SQL Server administration tools. Module 2: Designing and Implementing Tables In a relational database management system (RDBMS), user and system data is stored in tables. Each table consists of a set of rows that describe entities and a set of columns that hold the attributes of an entity. For example, a Customer table might have columns such as CustomerName and CreditLimit, and a row for each customer. In Microsoft SQL Server data management software tables are contained within schemas that are very similar in concept to folders that contain files in the operating system. Designing tables is one of the most important tasks that a database developer undertakes, because incorrect table design leads to the inability to query the data efficiently. After an appropriate design has been created, it is important to know how to correctly implement the design. Lessons Designing Tables Data Types Working with Schemas Creating and Altering Tables Lab : Designing and Implementing Tables After completing this module, you will be able to: Design Tables Describe the various types of data Be able to work with schemas Be able to create and amend tables Module 3: Advanced Table Designs The physical design of a database can have a significant impact on the ability of the database to meet the storage and performance requirements set out by the stakeholders. Designing a physical database implementation includes planning the filegroups, how to use partitioning to manage large tables, and using compression to improve storage and performance. Temporal tables are a new feature in SQL Server 2016 and offer a straightforward solution to collecting changes to your data. Lessons Partitioning data Compressing Data Temporal Tables Lab : Using Advanced Table Designs After completing this module, you will be able to: Describe how data can be partitioned Describe how data can be compressed. Describe Temporal tables Module 4: Ensuring Data Integrity through Constraints The quality of data in your database largely determines the usefulness and effectiveness of applications that rely on it—the success or failure of an organization or a business venture could depend on it. Ensuring data integrity is a critical step in maintaining high-quality data. You should enforce data integrity at all levels of an application from first entry or collection through storage. Microsoft SQL Server data management software provides a range of features to simplify the job. Lessons Enforcing data Integrity Implementing Domain Integrity Implementing Entity and Referential Integrity Lab : Ensuring Data Integrity through Constraints After completing this module, you will be able to: Describe how to enforce data integrity Describe how to implement domain integrity Describe how to implement entity and referential integrity Module 5: Introduction to Indexes An index is a collection of pages associated with a table. Indexes are used to improve the performance of queries or enforce uniqueness. Before learning to implement indexes, it is helpful to understand how they work, how effective different data types are when used within indexes, and how indexes can be constructed from multiple columns. This module discusses table structures that do not have indexes, and the different index types available in Microsoft SQL Server. Lessons Core Indexing Concepts Data Types and Indexes Single Column and Composite Indexes Lab : Implementing Indexes After completing this module, you will be able to: Explain the need for indexes and describe the core concepts of index design Choose appropriate data types for indexes Design single column and composite indexes Module 6: Designing Optimized Index Strategies Indexes play an important role in enabling SQL Server to retrieve data from a database quickly and efficiently. This module discusses advanced index topics including covering indexes, the INCLUDE clause, query hints, padding and fill factor, statistics, using DMOs, the Database Tuning Advisor, and Query Store. Lessons Covering Indexes Managing Indexes Execution Plans Using the DTE Lab : Designing Optimized Index Strategies After completing this module, you will be able to: Choose an appropriate table structure Implement clustered indexes and heaps Module 7: Columnstore Indexes Introduced in Microsoft SQL Server 2012, columnstore indexes are used in large data warehouse solutions by many organizations. This module highlights the benefits of using these indexes on large datasets; the improvements made to columnstore indexes in SQL Server 2016; and the considerations needed to use columnstore indexes effectively in your solutions. Lessons Introduction to Columnstore indexes Creating Columnstore indexes Working Columnstore indexes Lab : Using Columnstore indexes After completing this module, you will be able to: Describe suitable scenarios for Columnstore indexes Create clustered and non-clustered Columnstore indexes Describe considerations for updating non-clustered Columnstore indexed tables Module 8: Designing and Implementing Views This module describes the design and implementation of views. A view is a special type of query—one that is stored and can be used in other queries—just like a table. With a view, only the query definition is stored on disk; not the result set. The only exception to this is indexed views, when the result set is also stored on disk, just like a table. Views simplify the design of a database by providing a layer of abstraction, and hiding the complexity of table joins. Views are also a way of securing your data by giving users permissions to use a view, without giving them permissions to the underlying objects. This means data can be kept private, and can only be viewed by appropriate users. Lessons Introduction to views Creating and managing views Performance considerations for views Lab : Designing and Implementing Views After completing this module, you will be able to: Explain the concept of views Design, Create and Alter Views Create Partitioned Views Module 9: Designing and Implementing Stored Procedures This module describes the design and implementation of stored procedures. Lessons Introduction to Stored Procedures Working with Stored Procedures Implementing Parameterized Stored Procedures Controlling Execution Context Lab : Designing and Implementing Stored Procedures After completing this module, you will be able to: Design, Create and Alter Stored Procedures Control the Execution Context of Stored Procedures Implement Stored Procedures that use Parameters Module 10: Designing and Implementing User-Defined Functions Functions are routines that you use to encapsulate frequently performed logic. Rather than having to repeat the function logic in many places, code can call the function. This makes code more maintainable, and easier to debug. In this module, you will learn to design and implement user-defined functions (UDFs) that enforce business rules or data consistency. You will also learn how to modify and maintain existing functions. Lessons Overview of Functions Designing and Implementing Scalar Functions Designing and Implementing Table-Valued Functions Implementation Considerations for Functions Alternatives to Functions Lab : Designing and Implementing User-defined Functions After completing this module, you will be able to: Design, create and alter scalar functions Design, create and alter table-valued functions Describe the performance impacts of functions Module 11: Responding to Data Manipulation via Triggers Data Manipulation Language (DML) triggers are powerful tools that you can use to enforce domain, entity, referential data integrity and business logic. The enforcement of integrity helps you to build reliable applications. In this module, you will learn what DML triggers are, how they enforce data integrity, the different types of trigger that are available to you, and how to define them in your database. Lessons Designing DML Triggers Implementing DML Triggers Advanced Trigger Concepts Lab : Responding to Data Manipulation via Triggers After completing this module, you will be able to: Design DML triggers Implement DML triggers Work with Nested and Recursive Triggers Module 12: Using In-Memory Tables Microsoft SQL Server 2014 data management software introduced in-memory online transaction processing (OLTP) functionality features to improve the performance of OLTP workloads. SQL Server 2016 adds several enhancements, such as the ability to alter a memory-optimized table without recreating it. Memory-optimized tables are primarily stored in memory, which provides the improved performance by reducing hard disk access. Natively compiled stored procedures further improve performance over traditional interpreted Transact-SQL. Lessons Memory-Optimized Tables Natively Compiled Stored Procedures Lab : In Memory OLTP After completing this module, you will be able to: Implement in-memory tables Implement native stored procedures Module 13: Implementing Managed Code in SQL Server As a SQL Server professional, you are likely to be asked to create databases that meet business needs. Most requirements can be met using Transact-SQL. However, occasionally you may need additional capabilities that can only be met by using common language runtime (CLR) code. As functionality is added to SQL Server with each new release, the necessity to use managed code decreases. However, there are times when you might need to create aggregates, stored procedures, triggers, user-defined functions, or user-defined types. You can use any .NET Framework language to develop these objects. In this module, you will learn how to use CLR managed code to create user-defined database objects for SQL Server. Lessons Introduction to CLR Integration in SQL Server Implementing and Publishing CLR Assemblies Lab : Implementing Managed Code in SQL Server After completing this module, you will be able to: Describe SQL CLR Integration Implement and publish CLR assemblies using SQL Server Data Tools (SSDT). Module 14: Storing and Querying XML Data in SQL Server XML provides rules for encoding documents in a machine-readable form. It has become a widely adopted standard for representing data structures, rather than sending unstructured documents. Servers that are running Microsoft SQL Server data management software often need to use XML to interchange data with other systems; many SQL Server tools provide an XML-based interface. SQL Server offers extensive handling of XML, both for storage and querying. This module introduces XML, shows how to store XML data within SQL Server, and shows how to query the XML data. The ability to query XML data directly avoids the need to extract data into a relational format before executing Structured Query Language (SQL) queries. To effectively process XML, you need to be able to query XML data in several ways: returning existing relational data as XML, and querying data that is already XML. Lessons Introduction to XML and XML Schemas Storing XML Data and Schemas in SQL Server Implementing the XML Data Type Using the T-SQL FOR XML Statement Getting Started with xQuery Shredding XML Lab : Storing and Querying XML Data in SQL Server After completing this module, you will be able to: Explain the purpose and structure of XML and XML schemas Describe how XML data and schemas can be stored in SQL Server Implement the XML data type Module 15: Working with SQL Server Spatial Data This module describes spatial data and how this data can be implemented within SQL Server. Lessons Introduction to Spatial Data Working with SQL Server Spatial Data Types Using Spatial Data in Applications Lab : Working with SQL Server Spatial Data After completing this module, you will be able to: Describe how spatial data can be stored in SQL Server Use basic methods of the GEOMETRY and GEOGRAPHY data types Query databases containing spatial data Module 16: Storing and Querying Blobs and Text Documents in SQL Server Traditionally, databases have been used to store information in the form of simple values—such as integers, dates, and strings—that contrast with more complex data formats, such as documents, spreadsheets, image files, and video files. As the systems that databases support have become more complex, administrators have found it necessary to integrate this more complex file data with the structured data in database tables. For example, in a product database, it can be helpful to associate a product record with the service manual or instructional videos for that product. SQL Server provides several ways to integrate these files—that are often known as Binary Large Objects (BLOBs)—and enable their content to be indexed and included in search results. In this module, you will learn how to design and optimize a database that includes BLOBs. Lessons Considerations for BLOB Data Working with FileStream Using Full-Text Search Lab : Storing and Querying Blobs and Text Documents in SQL Server After completing this module, you will be able to: Describe the need for full-text indexing in SQL Server Implement a full-text index Perform basic full-text queries Module 17: SQL Server Concurrency This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. Concurrency control is a critical feature of multiuser database systems; it allows data to remain consistent when many users are modifying data at the same time. This module covers the implementation of concurrency in Microsoft SQL Server. You will learn about how SQL Server implements concurrency controls, and the different ways you can configure and work with concurrency settings. Lessons Concurrency and Transactions Locking Internals Module 18: Performance and Monitoring This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. This module looks at how to measure and monitor the performance of your SQL Server databases. The first two lessons look at SQL Server Extended Events, a flexible, lightweight event-handling system built into the Microsoft SQL Server Database Engine. These lessons focus on the architectural concepts, troubleshooting strategies and usage scenarios. Lessons Extended Events Working with extended Events Live Query Statistics Optimize Database File Configuration Metrics Read the official course description here  [-]

This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS), and at creating tabular semantic data models for analysis with SSAS. After completing this course, students will be able to: Describe the components, architecture, and nature of a BI solution Create a multidimensional database with analysis services Implement dimensions in a cube Implement measures and measure groups in a cube Use MDX syntax Customize a cube Implement a tabular database Use DAX to query a tabular model Use data mining for predictive analysis Module 1: Introduction to Business Intelligence and Data Modeling This module introduces key BI concepts and the Microsoft BI product suite. Lessons Introduction to Business Intelligence The Microsoft business intelligence platform Lab : Exploring a Data Warehouse After completing this module, you will be able to: Describe the concept of business intelligence Describe the Microsoft business intelligence platform Module 2: Creating Multidimensional Databases This module describes the steps required to create a multidimensional database with analysis services. Lessons Introduction to multidimensional analysis Creating data sources and data source views Creating a cube Overview of cube security Lab : Creating a multidimensional database After completing this module, you will be able to: Use multidimensional analysis Create data sources and data source views Create a cube Describe cube security Module 3: Working with Cubes and Dimensions This module describes how to implement dimensions in a cube. Lessons Configuring dimensions Define attribute hierarchies Sorting and grouping attributes Lab : Working with Cubes and Dimensions After completing this module, you will be able to: Configure dimensions Define attribute hierarchies. Sort and group attributes Module 4: Working with Measures and Measure Groups This module describes how to implement measures and measure groups in a cube. Lessons Working with measures Working with measure groups Lab : Configuring Measures and Measure Groups After completing this module, you will be able to: Work with measures Work with measure groups Module 5: Introduction to MDX This module describes the MDX syntax and how to use MDX. Lessons MDX fundamentals Adding calculations to a cube Using MDX to query a cube Lab : Using MDX After completing this module, you will be able to: Describe the fundamentals of MDX Add calculations to a cube Query a cube using MDX Module 6: Customizing Cube Functionality This module describes how to customize a cube. Lessons Implementing key performance indicators Implementing actions Implementing perspectives Implementing translations Lab : Customizing a Cube After completing this module, you will be able to: Implement key performance indicators Implement actions Implement perspectives Implement translations Module 7: Implementing a Tabular Data Model by Using Analysis Services This module describes how to implement a tabular data model in PowerPivot. Lessons Introduction to tabular data models Creating a tabular data model Using an analysis services tabular model in an enterprise BI solution Lab : Working with an Analysis services tabular data model After completing this module, you will be able to: Describe tabular data models Create a tabular data model Be able to use an analysis services tabular data model in an enterprise BI solution Module 8: Introduction to Data Analysis Expression (DAX) This module describes how to use DAX to create measures and calculated columns in a tabular data model. Lessons DAX fundamentals Using DAX to create calculated columns and measures in a tabular data model Lab : Creating Calculated Columns and Measures by using DAX After completing this module, you will be able to: Describe the fundamentals of DAX Use DAX to create calculated columns and measures in a tabular data model Module 9: Performing Predictive Analysis with Data Mining This module describes how to use data mining for predictive analysis. Lessons Overview of data mining Using the data mining add-in for Excel Creating a custom data mining solution Validating a data mining model Connecting to and consuming a data mining model Lab : Perform Predictive Analysis with Data Mining After completing this module, you will be able to: Describe data mining Use the data mining add-in for Excel Create a custom data mining solution Validate a data mining solution Connect to and consume a data mining solution [-]

På dette 2-dagerskurset vil du lære hvordan Powe Pivot brukes som et verktøy for å lage rapporter. I kurset lærer en å koble ulike datakilder og gjennom Power Query velge data en ønsker. Ved hjelp av DAX formler gjør en beregninger på tvers av kildene og får ut det en ønsker til fine formaterte rapporter. Etter dette kurset vil du være i stand til å bruke de fleste aspekter av Microsoft Power Pivot.  Nivå: Dette kurset dekker grunnleggende Power Pivot    Kurset består av følgende moduler - du kommer til å jobbe med praktiske modeller gjennom hele kurset: Forskjellen mellom Power Pivot og Pivottabeller Grunnstruktur for god modellering Hvordan få spesifikke data inn i Power Pivot Rensing av data (datavask) Håndtere datarelasjoner i modellene Bygge Power Pivot tabeller ved å bruke flere datakilder Bruk av DAX i din BI løsning Importere data til datamodellen ved hjelp av Power Query Power Pivot formatering - for å lage imponerende rapporter Utarbeide menyer for tilgang til alle rapporter Bruk av slicere 70 % av kurset foregår i Power Pivot og 30 % i Excel  [-]

Course goals: After completing this course, students will be able to: Provision a Database Server Upgrade SQL Server Configure SQL Server Manage Databases and Files (shared) Provision, migrate and manage databases in the cloud Read complete course description:https://www.microsoft.com/en-us/learning/course.aspx?cid=20765 [-]

This course builds your skills in installing, configuring, and managing VMware Horizon® 7 through a combination of lecture and hands-on labs. You will learn how to configure and deploy pools of virtual machines, how to manage the access and security of the machines, and how to provide a customized desktop environment to end users.   Course objectives: By the end of the course, you should be able to meet the following objectives: Identify VMware Horizon components Install and configure View Connection Server Install and configure virtual desktops Configure and manage VMware Horizon® Client™ systems Configure and manage pools of physical and virtual machines Configure and manage automated pools of full virtual machines Configure and manage pools of linked-clone desktops Configure and manage automated pools of instant clones Configure and manage Remote Desktop Services (RDS) pools of desktops and applications Use Horizon Administrator to configure the VMware Horizon environment Configure secure access to virtual desktops Use VMware User Environment Manager™ to manage user personalization and application configurations Describe steps to deploy profile management Use VMware App Volumes™ to provision and manage applications Manage the performance and scalability of a VMware Horizon deployment   [-]

  Kurset passer for dei som har kjennskap til excel og kanskje brukt det ein del år, men som ser at ein kan spare ein del tid på å jobbe smartare, lære nokre triks for å jobbe raskare. Det blir lagt vekt på å jobbe strukturert for å unngå feil som dessverre lett skjer ved bruk av excel. Du lærer å forstå skilnaden mellom eit 2-tal som tal og 2-tal som tekst,  datoer og andre einingar som kroner og kg og korleis du definerer dine eigne einingar. Etter kurset skal du ha i fingrane dei mest brukte og effektive arbeidsmetodane.  Du lærer korleis du skal bygge opp formlar som er oversiktlege (også for andre) som både sparer deg for tid og for feil. Kva type grafer og figurer som egnar seg til kva for type data, korleis du redigerer form,farge og tekst slik du vil ha dei. Lær deg å bygge opp ein struktur du kan gjenbruke til neste oppgåve og som er slik at kollegaen din kan forstå reknearket ditt. Det blir lagt vekt på kvalitet framfor kvantitet. Du skal kunne og forstå alt, også når du kjem tilbake på arbeidsplassen.  [-]

The course focuses on providing students with Linux administration "survival skills" by focusing on core administration tasks. Red Hat System Administration I provides a foundation for students wishing to become full-time Linux system administrators by introducing key command line concepts and other enterprise-level tools. These concepts are further developed in the follow-on course, Red Hat System Administration II (RH134). Course content summary: Introduction to the command line Managing physical storage Learning how to install and configure software components and services Establishing network connections and firewall access Monitoring and managing processes Managing and securing files Administrating users and groups Accessing Linux file systems Installing and using virtualized systems Reviewing the system log files and journal   Course Outline: Access the command lineLog in to a Linux system and run simple commands using the shell. Manage files from the command lineCopy, move, create, delete, and organize files from the bash shell prompt. Get help in Red Hat Enterprise LinuxResolve problems by using online help systems and Red Hat support utilities. Create, view, and edit text filesCreate, view, and edit text files from command output or in an editor. Manage local Linux users and groupsManage local Linux users and groups, and administer local password policies. Control access to files with Linux file system permissionsSet Linux file system permissions on files and interpret the security effects of different permission settings. Monitor and manage Linux processesObtain information about the system, and control processes running on it. Control services and daemonsControl and monitor network services and system daemons using systemd Configure and secure OpenSSH serviceAccess and provide access to the command line on remote systems securely using OpenSSH Analyze and store logsLocate and accurately interpret relevant system log files for troubleshooting purposes. Manage Red Hat Enterprise Linux networkingConfigure basic IPv4 networking on Red Hat Enterprise Linux systems. Archive and copy files between systemsArchive files and copy them from one system to another. Install and update software packagesDownload, install, update, and manage software packages from Red Hat and yum package repositories. Access Linux file systemsAccess and inspect existing file systems on a Red Hat Enterprise Linux system. Use virtualized systemsCreate and use Red Hat Enterprise Linux virtual machines with KVM and libvirt. Comprehensive reviewPractice and demonstrate the knowledge and skills learned in this course. [-]

Pro Tools er et profesjonelt digitalt musikkproduksjonssystem utviklet av Avid Technology for operativsystemene Mac OS X og Microsoft Windows. Pro Tools er en kjempe innen musikkproduksjon, og er ansett som bransjens fremste «Digital Audio Workstation» (DAW). I dette kurset kommer Eric Pettersen til å guide deg gjennom hele programmet, fra start til slutt. Kurset dekker hvordan du importerer, organiserer, spiller inn, bearbeider og mikser lyd. Kort fortalt, alt du trenger for å mestre Pro Tools og bli en effektiv lydprodusent. Innhold Du lærer om brukergrensesnittet Du lærer om oppsett Du lærer om digital lyd Du lærer om workspace og windows Du lærer om tracks og clips Du lærer å bruke MIDI Du lærer å rydde Du lærer om lydinnspilling Du lærer om lydredigering Du lærer om lydeffekter Du lærer om lydmixing Du lærer å eksportere [-]

This course is ideal for individuals or teams who wish to build a solid understanding of ArchiMate 3 and develop architecture artifacts using ArchiMate. What's new in ArchiMate 3.0? Like ArchiMate 2, ArchiMate 3 is a comprehensive modeling language that allows architects to create commonly understood and integrated visualizations of the essential enterprise architecture domains. Published as an Open Group Standard in June 2016, the ArchiMate 3 specification is a major update to ArchiMate 2.1. New features in version 3 include:• New concepts - Strategy and Motivation• New entities – Application, Technology and Implementation layers• Better ways to connect planning with implementation• Improvements in cross-layer relationships• New ‘Physical’ layer• Improvements in the viewpoints definition mechanism   Examination Certification in ArchiMate requires you to pass both a Foundation exam and a Certified exam.The Foundation exam is a closed book, multiple choice exam consisting of 40 questions. There is a time limit of 60 minutes and the pass-rate is 60%.After passing the Foundation exam you can then move onto the Practitioner exam, which is an open book, multiple choice exam consisting of eight questions. There is a time limit of 90 minutes and the pass-rate is 70%.A number of exercises are interspersed throughout the course, which are aimed at testing your understanding and practical application of the training you have just received. At the end of the course, a number of mock-exam case study scenarios are provided which have been designed to simulate the actual exam.After passing both exams you will become a certified ArchiMate 3 Practitioner! [-]

Microsoft Excel er et dataprogram som gjør det mulig å analysere og behandle data i et digitalt regneark. Kursinstruktør Espen Faugstad vil guide deg gjennom hele programmet og lære deg alt du trenger for å komme raskt i gang. I starten av kurset lærer du hvordan programmet er organisert. Dette omfatter hvordan du bruker hurtigtilgang, båndet, formellinjen og statuslinjen. Deretter lærer du å legge til data, formler og funksjoner. Dette omfatter hvordan du legger til tekst, tall, dato, tid, samt hvordan du bruker formler som summer, gjennomsnitt, maks, minst, m.m. Avslutningsvis lærer du å formatere data, ta i bruk diagrammer og skriver ut.  Innhold Du lærer hvordan Excel er organisert Du lærer å legge til data Du lærer å bruke formler og funksjoner Du lærer å formatere data Du lærer å lage diagrammer Du lærer å jobbe med arbeidsark Du lærer å lage skrive ut [-]

Microsoft Teams er et sted for samarbeid med dine kollegaer der alle samtaler, møter, filer og notater er tilgjengelig for alle i ditt team, alt på ett sted. Med Microsoft Teams kan du holde video-møter uansett hvor du er, og du kan holde kontakt med dine kollegaer og andre samarbeidspartnere.  Du har tilgang til Microsoft Teams via Microsoft 365 (tidligere kjent som Office 365), og Teams kan benyttes både via PC, smarttelefon og nettbrett. Mål for webinaret Etter endt kurs skal du kunne bruke Microsoft Teams på en smart og effektiv måte. Undervisningen gjennomføres som webinar via nettet og du kan følge med fra egen PC eller nettbrett. Emner Med Teams blir det mye enklere å samarbeide med dine kollegaer. På kurset vil vi forklare hvordan Teams fungerer og vi vil med praktiske øvelser vise hvordan man kan bruke dette verktøyet på en effektiv måte. Opprettelse av Teams Medlemmer i Teams Chatte og videokonferanse med dine kollegaer Oversikt over kalender og innkalling av teammøter Opprette og dele dokumenter Bruk av Teams på en mengde enheter (PC, Mac, mobil og nettbrett) Notatblokk og møteagendaer for Teamet Pris: 1200 kroner Ansatte ved UiS har egne prisbetingelser.   [-]

This workshop will teach you Spring Framework basics and dives into Spring Boot and Spring Cloud to create Microservices.Introduction     Design goals and principles     IOC and dependency injection     Spring Ecosystem Spring Framework     Spring Beans     Java Configuration, Annotation Based Configuration     Dependency injection, beans and properties     Bean Lifecycle     Property Sources, Environment abstraction Spring Boot     Starters, AutoConfiguration, Properties, Actuators     Devtools, LiveReload, debugging     Testing, Test-Properties     Packaging, Logging, YAML, Profiles     Actuator, Monitoring     Data Access with JPA     Restservices with Spring MVC and Spring Data Rest     Security     Custom Spring Boot Starters Microservices     Twelve-factor Apps     Overview of Microservices with Spring Boot / Spring Cloud     Orchestrating a Microservice system with Spring Cloud Netflix stack After the workshop, the participants will be able to independently create web applications using the technologies and frameworks used in the workshop. [-]

  Tableau Desktop Fundamental This course covers all the Tableau Desktop fundamentals required for new and intermediate Tableau users. It starts with simple visualizations and moves to an in-depth look at the different chart and graph functions available, calculations, parameters, mapping and other functionality. The course is provided with a data scenario and hands-on exercises covering all course content, and providing the opportunity to visually analyse data, build Interactive Dashboards and share them with others. Duration: Two days of live classroom Prerequisites: None. Course IncludesThis course includes a workbook containing key concepts on each topic covered and hands-on activities to reinforce the skills and knowledge attained. It also includes a digital student resources folder containing Tableau workbooks and data sources to support the hands-on activities.   At the end of this course, you will be able to: •  Connect to your data. •  Edit and save a data source. •  Understand Tableau terminology. •  Use the Tableau interface / paradigm to effectively create powerful visualizations. •   Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations. •  Represent your data using the following visualization types: • Cross tabs • Geographic maps • Heat maps • Tree maps • Pie charts and bar charts • Dual axis and combined charts with different mark types • Highlight Tables • Scatter Plots   Instructor Tore Levinsen   OM CGI  CGI Group Inc. ble grunnlagt i 1976 og er verdens femte største uavhengige leverandør av tjenester innen IT- og forretningsprosesser. Med 74 000 medarbeidere over hele verden, leverer CGI en portefølje av ende-til-ende løsninger innen avanserte IT- og forretningskonsulenttjenester, systemintegrasjon og utsetting av IT- og forretningsprosesser. CGIs modell med kundenærhet, et globalt leveransenettverk og egne løsninger bidrar til at kundene hurtigere oppnår resultater og bidrar til deres digitale transformasjon. CGI har en samlet årlig omsetning på over 60 milliarder NOK. CGI-aksjene er notert på TSX (GIB.A) og NYSE (GIB). Hjemmeside: www.cginorge.no   [-]

Jobb smart og effektivt! - Windows 10 fungerer på tvers av ulike enheter som datamaskiner, nettbrett og mobiltelefoner. - Microsoft-kontoen synkroniserer innstillinger mellom enheter med Windows 10. - Låseskjerm ved pålogging. - Passord, PIN-kode, bildepassord, fingeravtrykks- eller ansiktsgjenkjenning brukes ved pålogging. - Oppstart direkte til skrivebordet. - Nettbrettmodus gjør det enklere og mer intuitivt å bruke Windows 10 med berøringsenheter. - Startmenyen er endelig tilbake i både en bedre og utvidet form. - En mengde apper følger med som standard på startmenyen. - Forbedret søk etter apper, filer og innstillinger på datamaskinen og OneDrive. - Opptil fire vinduer kan vises på skjermen samtidig, avhengig av skjermoppløsningen. - Oppgavevisning gjør det raskt å bytte mellom åpne vinduer. - Flere uavhengige virtuelle skrivebord kan opprettes i oppgavevisning. - Hurtigtilgang i Filutforsker gjør det enkelt å navigere blant filer og mapper. - Ekstra lagringsplass på skytjenesten OneDrive for dokumenter, bilder og andre filer. - OneDrive er nå integrert i Filutforsker, noe som forenkler filbehandlingen. - Windows Store inneholder et bredt utvalg av apper, spill, musikk, filmer og TV-programmer. - Microsoft Edge er den nye nettleseren fra Microsoft. - Nettnotater gjør det mulig å legge til notater, skrive, tegne og utheve tekst direkte på nettsider. - Office-mobilapper kan lastes ned og brukes gratis på nettbrett og mobiltelefoner med Windows 10. - Innstillinger i Windows 10 er forenklet og oppfrisket med et nytt intuitivt utseende. - Hurtighandlinger gir øyeblikkelig tilgang til de innstillingene og appene du bruker mest. - Oppdateringer i Windows 10 blir lastet ned og installert automatisk. Innholdsfortegnelse: BLI KJENT MED WINDOWS 10 Windows 10 Microsoft-konto Starte Windows 10 Nettbrettmodus Berøringsskjerm Berøringstastatur Startmenyen Oppgavelinjen Søk Avslutte Windows 10 SKRIVEBORDET Håndtere vinduer Forankre vinduer Bytte mellom vinduer Flere skrivebord Filutforsker OneDrive Filbehandling ARBEIDE MED APPER Windows Store Microsoft Edge Office-mobilapper INNSTILLINGER Innstillinger Hurtighandlinger Kontrollpanelet Bakgrunn Farger Låseskjerm Temaer Enheter Strøm og hvilemodus Kontoen din Påloggingsalternativer Synkroniser innstillingene Windows Update Gjenoppretting Krav til forkunnskaper: Grunnleggende bruk av data.Sertifiserende tester:Etter endt kurs er det muligheter for å avlegge sertifiserende test on-line for Datakortet hos et sertifisert testsenter. Finansiering: LO organiserte kan søke stipend. Klikk: LOs Utdanningsfond, Fagforbundet, Handel og Kontor. Er du organisert i en annen fagforening eller har spørmål, kontakt oss for nærmere informasjon om dine muligheter for stipend. Ta kontakt med din fagforening for å få mer informasjon. Vi hjelper gjerne med søknaden. Vi fakturerer bedrifter og deltagere som ønsker å betale selv.  Bedrifter som ønsker å melde på et større antall deltagere kan ta kontakt for å avtale dette. [-]

Vi har med gleden å kunne tilby Nettkurs for Visio Kurs: Kurset er tilrettelagt for de som har kurs 2 og som skal lage arbeidsvarslingsplaner, både nybegynnere og for de med erfaring. Kurset er på 7 timer inkl pauser og lunsj. [-]