Rogaland
Du har valgt: Sola
Nullstill
Filter
Ferdig

-

Nettkurs 2 timer 3 438 kr
Selv om HMS (helse-, miljø- og sikkerhet) er et innarbeidet begrep og arbeidsmiljøloven stiller krav til arbeidsgiver om HMS opplæring, kan det være vanskelig å komme i g... [+]
Informasjon Selv om HMS (helse-, miljø- og sikkerhet) er et innarbeidet begrep og arbeidsmiljøloven stiller krav til arbeidsgiver om HMS opplæring, kan det være vanskelig å komme i gang. Når Arbeidstilsynet kommer på besøk, når anbud skal utformes eller man skal i forhandlinger med forsikringsselskapet om premiefastsetting er det både nødvendig og lønnsomt å kunne dokumentere hva man faktisk gjør på HMS området. Kurset er i henhold til arbeidsmiljøloven § 3-5 med tilhørende veiledning fra arbeidstilsynet og behandler bl.a.: Nytteverdi av systematisk HMS arbeid Lov og regelverk Ansvar, rolle og oppgaver i HMS arbeidet HMS faktorer Kartleggingsmetoder Dokumentasjon og systematikk [-]
Les mer
Sola 2 dager 9 300 kr
11 Jan
This conference act as a meeting place for people interested in maintenance, inspection and condition monitoring. [+]
In collaboration with Norwegian Society of Maintenance who is also professionally responsible.   This conference is focusing on inspection as an important and strategic element in maintaining an acceptable safety level and to secure reliable and economical production. Effective and right inspection requires knowledge about methodology and equipment in addition to implementation of effective working processes. Training and competence in all levels of the organization are the two main elements to secure quality in planning, execution and evaluation of findings from an inspection.The objectives for the conference are: Be a forum for exchange of experience and knowledge between representatives from different industries working with inspection and maintenance Focus on the importance of inspection as a integrated part of the total operation and maintenance activities Give an update to the industry about new  standards,methods and equipment introduced into the marked Strategic Inspection Management is the preferred meeting place to establish and maintain an industrial network for further develop and improve all inspection related activities in the industry. [-]
Les mer
Oslo Trondheim Og 2 andre steder 5 dager 26 500 kr
28 Sep
28 Sep
26 Oct
This five-day, hands-on course gives you the skills to deliver virtual desktops and applications through a single virtual desktop infrastructure platform. [+]
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   [-]
Les mer
Nettkurs 1 dag 3 750 kr
24 Sep
29 Oct
Repetisjonskurs for fiskevelferd - slakteri [+]
VAL FoU og Sikkerhetssenteret Rørvik AS har utviklet e-læringskurs for havbruksnæringa. Kurset er lovpålagt og dekker lov- og forskriftsfestede kompetansekrav for laksefisk. Fiskevelferd Regelverk Forebyggende helsearbeid Helseutfordringer og sykdom Fiskevelferd ved slakting Miljø og produksjonssystemer   Kurset er utviklet- og holdes av fiskehelsepersonell som jobber i havbruksnæringen.  [-]
Les mer
Nettkurs 1 dag 3 750 kr
Brønnbåtkurs, repetisjon [+]
VAL FoU og Sikkerhetssenteret Rørvik AS har utviklet e-læringskurs for havbruksnæringa. Kurset er lovpålagt og dekker lov- og forskriftsfestede kompetansekrav. Kort om kursinnholdet: Fiskevelferd Regelverk Forebyggende helsearbeid Helseutfordringer og sykdom Hvordan ivareta fiskevelferd under ulike arbeidsoperasjoner? Lus og avlusing Rensefisk Vannkjemi og fiskevelferd Kurset er utviklet- og holdes av fiskehelsepersonell som jobber i havbruksnæringen.  [-]
Les mer
Nettstudier Sentrum 2 timer 790 kr
26 Nov
I alle skoler, på alle trinn, finnes det sårbare elever. Mange unge oppgir å ikke være gode nok og kravet til å prestere er høyt. [+]
Flere oppgir å slite med psykiske problemer knyttet til vanskelig liv og oppvekst. Hvordan kan du som lærer forstå mer og snakke om psykisk helse med elever? Dette nettkurset tar sikte på å styrke deg i møtet med utsatte elever som sliter med depresjon, angst og mobbing og på den måten forhindre utenforskap og isolasjon. Kurset gir deg også kunnskap om sårbarhetsfaktorer, økt emosjonell kompetanse og råd til hvordan du kan styrke og engasjere eleven i målet om å få det bedre med seg selv. I løpet av kurset vil du få en innføring i hvordan du kan ha gode og støttende samtaler, ta utgangspunkt i caser og gjennom dette gi deg økt kompetanse og styrke deg i ditt arbeid med å skape et mer åpent og inkluderende mangfoldsmiljø i skolen. Kursholder Anders Røyneberg er psykiatrisk sykepleier og sexologisk rådgiver. Han jobber som terapeut ved Institutt for klinisk sexologi og terapi. Anders skriver også i spalten Si;D i Aftenposten og underviser ved OsloMet.  [-]
Les mer
Oslo Trondheim Og 2 andre steder 2 dager 9 900 kr
24 Sep
08 Oct
15 Oct
Dette kurset fortsetter der hvor SharePoint for redaktører, del 1 – sluttet. [+]
Dette kurset fortsetter der hvor SharePoint for redaktører, del 1 – sluttet. Du vil lære å bruke flere av verktøyene i SharePoint Online/2016, for å lage gode og effektive løsninger for brukerne. Lær mer om hvordan SharePoint kan styrke forretningsdriften gjennom effektiv automatiserte og intelligente funksjoner Etter endt kurs vil du forstå hvordan dette kan effektivisere IT bruken i din bedrift og spare dine medarbeidere for timer hver dag.   Innhold: I løpet av disse to dagene lærer du å tilpasse SharePoint ved å: Bruke SharePoint Designer for rask tilpasning av områder, lister og bibliotek. Lage tilpassete arbeidsflater der ulike brukere får tilgang til informasjon som er relevant for dem. Vi går gjennom viktige innstillinger og tilpasninger av SharePoint på admin-nivå i Office 365. Du får hjelp til å tilpasse grunnleggende innstillinger, sette opp smarte løsninger for søk og bruk av metadata i dokumenter og lister. Du får hjelp til å komme i gang med PowerShell for raskt å opprette og/eller tilpasse områder og innhold. Sette opp gode løsninger for søk og bruk av metadata. Gi deg grunnleggende forståelse i hvordan du kan bruke SharePoint Designer for å lage effektiv arbeidsflyt i SharePoint. Bruke de nyeste automatiseringsfunksjonene i Microsoft Flow Lage enkle apper av SharePont-lister med hjelp av Microsoft PowerApps. [-]
Les mer
Oslo 3 dager 16 000 kr
23 Sep
23 Sep
30 Nov
The main purpose of the course is to give students the ability to add BI techniques to Excel data analysis. [+]
The course goes beyond the capabilities of tables and charts and uses Pivot Charts, the Excel Data Model, and Power BI. This course is recommended as preparation for exam 70-779 which is the first of two exams leading to MCSA BI Reporting certification.  After completing this course, students will be able to: Explore and extend a classic Excel dashboard. Explore and extend an Excel data model. Pre-format and import a .CSV file. Import data from a SQL Server database Import data from a report. Create measures using advanced DAX functions. Create data visualizations in Excel. Create a Power BI dashboard with Excel. Read the official course description here: MS 20779: Analyzing Data with Excel  [-]
Les mer
Nettkurs 4 900 kr
Jobber du på fiskebåt, brønnbåt eller servicefartøy og håndterer kran/annet løfteutstyr? [+]
Jobber du på fiskebåt, brønnbåt eller servicefartøy og håndterer kran/annet løfteutstyr? Bruk av kraner og tilhørende løfteredskap anses av myndighetene som så farlig at det kreves dokumentert opplæring. Det vil si teoretisk og praktisk opplæring som gir kunnskap om bruk og vedlikehold av utstyr med sikkerhet som hovedmål.   Sjøfartsdirektoratet krever dokumentert intern opplæring. Dette kurset gir deg teorien til G20 - fastmontert hydraulisk kran, samt teorien i G11 - løfteredskap /stroppekurs. I tillegg kan praktisk utsjekk ombord gis, men dette må avtales separat. Kurset er utviklet av Bernt Arve Midtbø, M-BA Ålesund.  Noen av temaene i kurset Sjøfarts regelverk Krav til systematisk HMS Vurdering av risiko Utstyret skal være egnet for formålet Krav om dokumentert opplæring ved bruk av farlig arbeidsutstyr Kraner på skip Krav til bruk av løfteredskap Fiberstropper Bruksområder for hydrauliske kraner/laste og losseinnretninger Krav til kompetanse for kranfører [-]
Les mer
Oslo 5 dager 24 000 kr
28 Sep
28 Sep
07 Dec
This five-day instructor-led course provides students with the knowledge and skills to develop a Microsoft SQL Server 2016 database. [+]
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  [-]
Les mer
Oslo 5 dager 24 000 kr
21 Sep
21 Sep
16 Nov
This 4-day instructor led course describes how to implement a data warehouse platform to support a BI solution. [+]
Students will learn how to create a data warehouse with Microsoft® SQL Server® 2016 and with Azure SQL Data Warehouse, to implement ETL with SQL Server Integration Services, and to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services. After completing this course, students will be able to: Describe the key elements of a data warehousing solution Describe the main hardware considerations for building a data warehouse Implement a logical design for a data warehouse Implement a physical design for a data warehouse Create columnstore indexes Implementing an Azure SQL Data Warehouse Describe the key features of SSIS Implement a data flow by using SSIS Implement control flow by using tasks and precedence constraints Create dynamic packages that include variables and parameters Debug SSIS packages Describe the considerations for implement an ETL solution Implement Data Quality Services Implement a Master Data Services model Describe how you can use custom components to extend SSIS Deploy SSIS projects Describe BI and common BI scenarios Module 1: Introduction to Data Warehousing Describe data warehouse concepts and architecture considerations. Lessons Overview of Data Warehousing Considerations for a Data Warehouse Solution Lab : Exploring a Data Warehouse Solution After completing this module, you will be able to: Describe the key elements of a data warehousing solution Describe the key considerations for a data warehousing solution Module 2: Planning Data Warehouse Infrastructure This module describes the main hardware considerations for building a data warehouse. Lessons Considerations for Building a Data Warehouse Data Warehouse Reference Architectures and Appliances Lab : Planning Data Warehouse Infrastructure After completing this module, you will be able to: Describe the main hardware considerations for building a data warehouse Explain how to use reference architectures and data warehouse appliances to create a data warehouse Module 3: Designing and Implementing a Data Warehouse This module describes how you go about designing and implementing a schema for a data warehouse. Lessons Logical Design for a Data Warehouse Physical Design for a Data Warehouse Lab : Implementing a Data Warehouse Schema After completing this module, you will be able to: Implement a logical design for a data warehouse Implement a physical design for a data warehouse Module 4: Columnstore Indexes This module introduces Columnstore Indexes. Lessons Introduction to Columnstore Indexes Creating Columnstore Indexes Working with Columnstore Indexes Lab : Using Columnstore Indexes After completing this module, you will be able to: Create Columnstore indexes Work with Columnstore Indexes Module 5: Implementing an Azure SQL Data Warehouse This module describes Azure SQL Data Warehouses and how to implement them. Lessons Advantages of Azure SQL Data Warehouse Implementing an Azure SQL Data Warehouse Developing an Azure SQL Data Warehouse Migrating to an Azure SQ Data Warehouse Lab : Implementing an Azure SQL Data Warehouse After completing this module, you will be able to: Describe the advantages of Azure SQL Data Warehouse Implement an Azure SQL Data Warehouse Describe the considerations for developing an Azure SQL Data Warehouse Plan for migrating to Azure SQL Data Warehouse Module 6: Creating an ETL Solution At the end of this module you will be able to implement data flow in a SSIS package. Lessons Introduction to ETL with SSIS Exploring Source Data Implementing Data Flow Lab : Implementing Data Flow in an SSIS Package After completing this module, you will be able to: Describe ETL with SSIS Explore Source Data Implement a Data Flow Module 7: Implementing Control Flow in an SSIS Package This module describes implementing control flow in an SSIS package. Lessons Introduction to Control Flow Creating Dynamic Packages Using Containers Lab : Implementing Control Flow in an SSIS Package Lab : Using Transactions and Checkpoints After completing this module, you will be able to: Describe control flow Create dynamic packages Use containers Module 8: Debugging and Troubleshooting SSIS Packages This module describes how to debug and troubleshoot SSIS packages. Lessons Debugging an SSIS Package Logging SSIS Package Events Handling Errors in an SSIS Package Lab : Debugging and Troubleshooting an SSIS Package After completing this module, you will be able to: Debug an SSIS package Log SSIS package events Handle errors in an SSIS package Module 9: Implementing an Incremental ETL Process This module describes how to implement an SSIS solution that supports incremental DW loads and changing data. Lessons Introduction to Incremental ETL Extracting Modified Data Temporal Tables Lab : Extracting Modified DataLab : Loading Incremental Changes After completing this module, you will be able to: Describe incremental ETL Extract modified data Describe temporal tables Module 10: Enforcing Data Quality This module describes how to implement data cleansing by using Microsoft Data Quality services. Lessons Introduction to Data Quality Using Data Quality Services to Cleanse Data Using Data Quality Services to Match Data Lab : Cleansing DataLab : De-duplicating Data After completing this module, you will be able to: Describe data quality services Cleanse data using data quality services Match data using data quality services De-duplicate data using data quality services Module 11: Using Master Data Services This module describes how to implement master data services to enforce data integrity at source. Lessons Master Data Services Concepts Implementing a Master Data Services Model Managing Master Data Creating a Master Data Hub Lab : Implementing Master Data Services After completing this module, you will be able to: Describe the key concepts of master data services Implement a master data service model Manage master data Create a master data hub Module 12: Extending SQL Server Integration Services (SSIS) This module describes how to extend SSIS with custom scripts and components. Lessons Using Custom Components in SSIS Using Scripting in SSIS Lab : Using Scripts and Custom Components After completing this module, you will be able to: Use custom components in SSIS Use scripting in SSIS Module 13: Deploying and Configuring SSIS Packages This module describes how to deploy and configure SSIS packages. Lessons Overview of SSIS Deployment Deploying SSIS Projects Planning SSIS Package Execution Lab : Deploying and Configuring SSIS Packages After completing this module, you will be able to: Describe an SSIS deployment Deploy an SSIS package Plan SSIS package execution Module 14: Consuming Data in a Data Warehouse This module describes how to debug and troubleshoot SSIS packages. Lessons Introduction to Business Intelligence Introduction to Reporting An Introduction to Data Analysis Analyzing Data with Azure SQL Data Warehouse Lab : Using Business Intelligence Tools After completing this module, you will be able to: Describe at a high level business intelligence Show an understanding of reporting Show an understanding of data analysis Analyze data with Azure SQL data warehouse [-]
Les mer
Nettkurs 1 dag 4 990 kr
12 Nov
Få kunnskap til å lede og veilede personell som er involvert i løfteoperasjoner. [+]
I samarbeid med KranTeknisk Forening som også er faglig ansvarlig.   Kurset gjennomføres som interaktivt nettkurs på 1 dag (kl. 8.30-16.30).   Få kunnskap til å lede og veilede personell som er involvert i løfteoperasjoner i bygg og anlegg. Kurset gir deg kunnskap og metoder for å vite at løfteoperasjoner blir forskriftsmessig utført.    Etter endt kurs vil du: kjenne til hvilke lover, forskrifter og standarder som gjelder vedr. bruk av kraner og løfteutstyr kunne redegjøre for ulike typer ulykker som kan inntre ved feil bruk av kraner, ansvarsforhold, årsakssammenheng og hvordan disse kan forebygges. utøve overordnet operasjonell ledelse av løfteoperasjoner. kjenne til hvordan en sikrer helhetlig planlegging av løfteoperasjoner i ulike områder og vurdere sikkerheten  i forbindelse med samtidige operasjoner. kunne redegjøre for SJA – Sikker Jobb Analyse, sikkerhetsbestemmelser for føring av kran, og hvilke forholdsregler som må tas for at kranfører skal kunne verne seg selv og annet personell mot ulykker. kunne redegjøre for aktuelle forskrifter og retningslinjer for personbefordring. kjenne til vurdering av enkle løfteinnretninger og oppbevaring av løst løfteutstyr. kjenne til kompetansekrav ved bruk av ulike type løfteutstyr. kunne veilede og gi opplæring til annet personell som skal ha rollen som operasjonelt ansvarlige. Kursene gjennomføres med videoløsningen Zoom som er en av verdens mest brukte undervisningsplattformer for interaktive kurs. Løsningen er enkel og krever ingen teknisk kompetanse - kun tilgang til internett! Du får tilsendt informasjon i forkant av kurset og en link som automatisk kobler deg til kurset.   Teknisk ansvarlig: Quality Norway AS [-]
Les mer
Oslo Trondheim Og 2 andre steder 5 dager 19 900 kr
21 Sep
05 Oct
12 Oct
Vi går grundig gjennom hvordan SharePoint spiller sammen med øvrige tjenester i Office 365 som Teams, Groups og Yammer. [+]
Dag 1: Gevinster og muligheter i SharePoint  I den første dagen får du en oversikt over SharePoint og hvordan dette spiller sammen med andre tjenester som OneDrive, Teams, Groups og Yammer. Du vil se at nye SharePoint kan være et enkelt og engasjerende verktøy for deling av kunnskap og informasjon.   Du får utforske SharePoint i et ferdig oppsatt demomiljø og erfare hvordan ulike SharePoint-løsninger kan bringe samarbeid, internkommunikasjon, beslutningsstøtte og prosessforbedring til et nytt nivå i din virksomhet.  Dag 2 og 3: SharePoint for redaktører del 1 - lag gode og brukervennlige løsninger  I løpet av disse to dagene får du grundig innføring i ulike SharePoint områdetyper. Vi går gjennom de ulike byggesteinene i SharePoint og du lærer hvordan du kan strukturere en portal og enkeltstående områder med rettigheter, arbeidsflyter, dokumenthåndtering, redigering av innhold og lister. Du får en god innføring i forskjellen mellom moderne og klassisk SharePoint og  blir i stand til å sette opp brukervennlige sider med nyttige  inndelinger og webdeler.   Lær mer om hvordan du kan styre dokumenter med hjelp av innholdstyper, mapper, kolonner og metadata. Du får en god innføring i suksesskriterier ved bruk og innføring av SharePoint. Dag 4 og 5: SharePoint for redaktører del 2 - lag gode og brukervennlige løsninger Disse to dagene fokuserer vi på prosesser, automatisering og sammenkobling av tjenester med hjelp av Power Apps, Flow og Classic Workflows. Du får også en grundige innføring i tilpasning av hele SharePoint-miljøet, samt hjelp til å komme i gang med enkel bruk av SharePoint Designer og PowerShell. [-]
Les mer

Lukk Denne siden benytter seg av informasjonskapsler (cookies).
Du kan fortsette å bruke siden som vanlig hvis du godtar dette. Les mer om bruk av informasjonskapsler i vår personvernerklæring.