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3 dager 15 000 kr
This three-day instructor-led course teaches students how to implement a SQL Server 2016 Reporting Services solution for data analysis in an organization. [+]
The course discusses how to use the Reporting Services development tools to create and manage reports and implement self-service BI solutions. After completing this course, students will be able to: Describe key features of data modelling within business intelligence Describe various report services data sources and how these are configured Create reports with report designer and/or report designer Configure reports with report designer and/or report builder Create SQL Server mobile reports Module 1: Introduction to Business Intelligence and Data Modelling In this module students will be introduced to the key concepts in business intelligence, and the Microsoft BI product suite. Lessons Introduction to business intelligence The Microsoft business intelligence platform Introduction to reporting services Lab : Exploring an enterprise BI solution After completing this module, you will be able to: Describe key concepts in business intelligence Describe the Microsoft BI platform Describe key concepts in reporting services Module 2: Reporting Services Data Describe various Report Services data sources and how these are configured. Lessons Data connections Connection strings Filters and parameters Lab : Configuring a data connection After completing this module, you will be able to: Describe data connections and connection strings Describe filters and parameters Module 3: Implementing reports Create reports with report designer or report builder. Lessons Creating a report with the report wizard Creating a report Showing data graphically Lab : Creating a report After completing this module, you will be able to: Create a report using the report wizard Show data graphically Module 4: Creating a Map Report This module describes how to configure reports with report builder or report designer. Lessons Implementing filters and parameters Implementing sorting and grouping Publishing a report Lab : Creating a map report After completing this module, you will be able to: Implement filters and parameters Implement sorting and grouping Publish a report Module 5: Creating Mobile Reports This module describes how to create SQL Server mobile reports. Lessons Overview of SQL Server mobile reports Preparing data for mobile reports Mobile report publisher Lab : Mobile reports After completing this module, you will be able to: Describe SQL Server mobile reports Prepare data for mobile reports Publish mobile reports [-]
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Oslo 5 dager 22 500 kr
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 [-]
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2 dager 12 000 kr
This two-day instructor-led course provides students with the knowledge and skills analyze data with Power BI. [+]
After completing this course, students will be able to: Describe key features of a self-service BI solution Describe Power BI and its data sources Model, shape, and combine data Describe Power BI data visualizations Module 1: Introduction to Self-Service BI Solutions In this module students will be introduced to the key concepts in business intelligence, data analysis, and data visualization. In addition they will learn the rationale for self-service BI, considerations for using self-service BI, and how Microsoft products can be used to implement a self-service BI solution. Lessons Introduction to business intelligence Introduction to data analysis Introduction to data visualization Overview of self-service BI Considerations of self-service BI Microsoft tools for self-service BI Lab : Exploring an enterprise BI solution After completing this module, you will be able to: Describe key concepts in business intelligence Describe key concepts in data analysis Describe key concepts in data visualization Describe the rationale for self-service BI Describe considerations for self-service BI Describe how Microsoft products can be used to implement a self-service BI solution Module 2: Introducing Power BI This module introduces Power BI. Lessons Power BI The Power BI service Power BI mobile apps Lab : Cresting a Power BI dashboard After completing this module, you will be able to: Describe Power BI Describe the Power BI Service Implement Tenant Management Describe Power BI mobile apps Create a simple dashboard Module 3: Power BI Data This module describes Power BI data sources. Lessons Using Excel as a Power BI data source Using databases as a Power BI data source The Power BI service Lab : Import data into Power BI After completing this module, you will be able to: Use Excel as a Power BI data source Use databases as a Power BI data source and describe the R language Configure the Power BI Service Module 4: Shaping and Combining Data This module describes how to shape and combine data. Lessons Power BI desktop queries Shaping data Combining data Lab : Shaping and combining data After completing this module, you will be able to: Create Power BI Desktop queries Shape data Combine data Module 5: Modelling Data This module describes how to model data in Power BI. Lessons Relationships DAX queries Calculations and measures Lab : Modelling data After completing this module, you will be able to: Configure the Power BI Service Create Relationships Write simple DAX queries Create calculations and measures Module 6: Interactive Data Visualizations This module describes Power BI visualizations. Lessons Creating Power BI reports Managing a Power BI solution Lab : Creating a Power BI report After completing this module, you will be able to: Use Power BI Desktop to create interactive data visualizations Describe the management of a Power BI solution [-]
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3 dager 15 000 kr
This three-day instructor-led course is aimed at database professionals who manage Business Intelligence (BI) operations. [+]
This course looks at various options that provide the ability of business users to analyze data and share their findings, starting with managed BI data sources and expanding to personal and external/public data sources. After completing this course, students will be able to: Describe key features of a self-service BI solution Describe the key capabilities of SQL Server BI in a SharePoint environment Describe common Analysis Services operational tasks Describe PowerPivot for SharePoint server Describe Power Query Describe Windows Azure HDInsight   Module 1: Introduction to Microsoft SQL Server BI Solution This module introduces key features of a self-service BI solution. Lessons Overview of self-service BI Considerations of self-service BI Microsoft tools for self-service BI Lab : Exploring an enterprise BI solution After completing this module, you will be able to: Describe the concept of self-service BI Explain when you would use self-service BI Describe the Microsoft tools for self-service BI Module 2: SQL Server BI Features with Microsoft SharePoint This module describes the key capabilities of SQL Server BI in a SharePoint environment. Lessons Capabilities of Power BI with SharePoint SharePoint with analysis services SharePoint with reporting services Deploying SQL server BI in a SharePoint environment Lab : Design a SQL Server BI infrastructure After completing this module, you will be able to: Describe the capabilities of Power BI with SharePoint Describe the use of SharePoint with analysis services Describe the use of SharePoint with reporting services Deploy SQL Server in a SharePoint environment Module 3: Operating Analysis Services This module describes common analysis services operational tasks. Lessons Configuring an analysis services server Tuning an analysis services server Analysis services security Analysis services high availability and disaster recovery Lab : Configuring analysis services After completing this module, you will be able to: Configure the analysis services server Tune the analysis services server Describe the analysis services security Implement analysis services high-availability and disaster recovery Module 4: Supporting Analysis Services This module introduces PowerPivot for SharePoint server. Lessons Testing analysis services cubes Tuning analysis services Maintaining analysis services Lab : Supporting Analysis Services After completing this module, you will be able to: Test analysis services Tune analysis services Maintain analysis services Module 5: Operate and Support Reporting services This module introduces users to Power Query. They will use this more in subsequent modules. Lessons Installing a native mode report server Installing reporting services with SharePoint Reporting services with Microsoft Azure virtual machines Reporting services errors Lab : Installing reporting services After completing this module, you will be able to: Install a native mode reporting server Install reporting services with SharePoint Implement reporting services with Microsoft Azure virtual machines Describe reporting services errors Module 6: Share PowerPivot Workbooks in SharePoint Server This module introduces PowerPivot for SharePoint. Lessons PowerPivot for SharePoint Install and configure PowerPivot for SharePoint Lab : Install PowerPivot for SharePoint After completing this module, you will be able to: Describe the capabilities of PowerPivot for SharePoint Install and Configure PowerPivot for SharePoint Module 7: Operate and Support Power BI This module introduces Windows Azure HDInsight. Lessons Power BI desktop PowerBI.Com Mobile Power BI Lab : Using Power BI After completing this module, you will be able to: Install and Configure Power BI desktop Implement Power BI dashboards Describe mobile power BI [-]
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Oslo 3 dager 15 000 kr
This three-day instructor-led course is aimed at database professionals who fulfil a Business Intelligence (BI) developer role. [+]
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 [-]
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Oslo 5 dager 22 500 kr
08 Jan
26 Feb
16 Apr
Upgrading Your Skills to Windows Server 2016 MCSA [+]
This five-day, instructor-led course explains how to implement and configure new Windows Server 2016 features and functionality. This course is for information technology (IT) professionals who want to upgrade their technical skills from Windows Server 2008 or Windows Server 2012 to Windows Server 2016. This course presumes a high level of knowledge about previous Windows Server technologies and skills equivalent to the Microsoft Certified Solutions Associate (MCSA): Windows Server 2008 or Windows Server 2012 credential.   This course is not a product-upgrade course, detailing considerations for migrating and upgrading students’ specific environment to Windows Server 2016. Rather, this course provides updates to students' existing Windows Server knowledge and skills, as they pertain to Windows Server 2016. [-]
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Oslo 3 dager 15 000 kr
27 Nov
The course will very likely be well attended by SQL power users who are not necessarily database-focused; namely, report writers, business analysts and client application... [+]
The main purpose of this 5 day instructor led course is to give students a good understanding of the Transact-SQL language which is used by all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. As such, the primary target audience for this course is: Database Administrators, Database Developers and BI professionals.    After completing this course, students will be able to: Describe the basic architecture and concepts of Microsoft SQL Server 2016. Understand the similarities and differences between Transact-SQL and other computer languages. Write SELECT queries Query multiple tables Sort and filter data Describe the use of data types in SQL Server Modify data using Transact-SQL Use built-in functions Group and aggregate data Use subqueries Use table expressions Use set operators Use window ranking, offset and aggregate functions Implement pivoting and grouping sets Execute stored procedures Program with T-SQL Implement error handling Implement transactions Module 1: Introduction to Microsoft SQL Server 2016 This module introduces SQL Server, the versions of SQL Server, including cloud versions, and how to connect to SQL Server using SQL Server Management Studio. Lessons The Basic Architecture of SQL Server SQL Server Editions and Versions Getting Started with SQL Server Management Studio Lab : Working with SQL Server 2016 Tools After completing this module, you will be able to: Describe the architecture and editions of SQL Server 2012. Work with SQL Server Management Studio. Module 2: Introduction to T-SQL Querying This module introduces the elements of T-SQL and their role in writing queries, describes the use of sets in SQL Server, describes the use of predicate logic in SQL Server, and describes the logical order of operations in SELECT statements. Lessons Introducing T-SQL Understanding Sets Understanding Predicate Logic Understanding the Logical Order of Operations in SELECT statements Lab : Introduction to Transact-SQL Querying After completing this module, you will be able to: Describe the elements of T-SQL and their role in writing queries Describe the use of sets in SQL Server Describe the use of predicate logic in SQL Server Describe the logical order of operations in SELECT statements Module 3: Writing SELECT Queries This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table. Lessons Writing Simple SELECT Statements Eliminating Duplicates with DISTINCT Using Column and Table Aliases Writing Simple CASE Expressions Lab : Writing Basic SELECT Statements After completing this module, you will be able to: Write simple SELECT statements. Eliminate duplicates using the DISTINCT clause. Use column and table aliases. Write simple CASE expressions. Module 4: Querying Multiple Tables This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables. Lessons Understanding Joins Querying with Inner Joins Querying with Outer Joins Querying with Cross Joins and Self Joins Lab : Querying Multiple Tables After completing this module, you will be able to: Describe how multiple tables may be queried in a SELECT statement using joins. Write queries that use inner joins. Write queries that use outer joins. Write queries that use self-joins and cross joins. Module 5: Sorting and Filtering Data This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results. Lessons Sorting Data Filtering Data with Predicates Filtering with the TOP and OFFSET-FETCH Options Working with Unknown Values Lab : Sorting and Filtering Data After completing this module, you will be able to: Filter data with predicates in the WHERE clause. Sort data using ORDER BY. Filter data in the SELECT clause with TOP. Filter data with OFFSET and FETCH. Module 6: Working with SQL Server 2016 Data Types This module explains the data types SQL Server uses to store data. It introduces the many types of numeric and special-use data types. It also explains conversions between data types, and the importance of type precedence. Lessons Introducing SQL Server 2016 Data Types Working with Character Data Working with Date and Time Data Lab : Working with SQL Server 2016 Data Types After completing this module, you will be able to: Describe numeric data types, type precedence and type conversions. Write queries using character data types. Write queries using date and time data types. Module 7: Using DML to Modify Data This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates, and deletes to your data. Lessons Inserting Data Modifying and Deleting Data Lab : Using DML to Modify Data After completing this module, you will be able to: Insert new data into your tables. Update and delete existing records in your tables. Module 8: Using Built-In Functions This module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability. Lessons Writing Queries with Built-In Functions Using Conversion Functions Using Logical Functions Using Functions to Work with NULL Lab : Using Built-In Functions After completing this module, you will be able to: Write queries with built-in scalar functions. Use conversion functions. Use logical functions. Use functions that work with NULL. Module 9: Grouping and Aggregating Data This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause. Lessons Using Aggregate Functions Using the GROUP BY Clause Filtering Groups with HAVING Lab : Grouping and Aggregating Data After completing this module, you will be able to: Write queries which summarize data using built-in aggregate functions. Use the GROUP BY clause to arrange rows into groups. Use the HAVING clause to filter out groups based on a search condition. Module 10: Using Subqueries This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators. Lessons Writing Self-Contained Subqueries Writing Correlated Subqueries Using the EXISTS Predicate with Subqueries Lab : Using Subqueries After completing this module, you will be able to: Describe the uses of queries which are nested within other queries. Write self-contained subqueries which return scalar or multi-valued results. Write correlated subqueries which return scalar or multi-valued results. Use the EXISTS predicate to efficiently check for the existence of rows in a subquery. Module 11: Using Set Operators This module introduces the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets. Lessons Writing Queries with the UNION Operator Using EXCEPT and INTERSECT Using APPLY Lab : Using SET Operators After completing this module, you will be able to: Write queries using UNION, EXCEPT, and INTERSECT operators. Use the APPLY operator.   [-]
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5 dager 27 500 kr
På denne intensive Boot Campen får du hands-on erfaring og kompetanse til å håndtere overgangen til skyen, og til å administrere skybaserte forretningsapplikasjoner ... [+]
K-tech er et kompetansesenter på Kongsberg som startet opp i 2008 med Kongsberg Defence & Aerospace, Technip FMC og GKN Aerospace som våre eiere. Vi er en kursleverandør som tilbyr kvalitetssikrede kurs innenfor en rekke sentrale områder som er etterspurt av industrien i Norge. Beskrivelse: På denne intensive Boot Campen får du hands-on erfaring og kompetanse til å håndtere overgangen til skyen, og til å administrere skybaserte forretningsapplikasjoner med Microsoft Office 365.  Boot Campen inkluderer de to testene 70-346 og 70-347 som leder fram mot MCSA: Office 365 sertifiseringen.  Følgende elementer er inkludert i Boot Campen: Utvidete kursdager fra kl 09.00 til kl 18.00.  OBS! Mandag starter kurset kl 10.00. Fredag avsluttes kurset kl 16.00. Kursmateriale: Deltagerne vil få MOC 20347: Enabling and Managing Office 365 (Offisiell Microsoft kursdokumentasjon), samt tilgang til diverse elektronisk materiale bestående av videoer, e- bøker mm. for videre selvstudie. 2 sertifiseringstester: Exam 70-347: Enabling Office 365 Services og Exam 70-346: Managing Office 365 Identities and Requirements Full bevertning i løpet av uken med buffet lunch og fri tilgang til kaffe, te, frukt og kjeks, samt baguett som serveres kl 16.00 mandag-torsdag. Innhold: This Boot Camp consists of The modules in Microsoft Official Course MS 20347 6 extra modules For mere informasjon: http://www.glasspaper.no/kurs/2054.MCSA-Microsoft-Office-365---Boot-Camp/ [-]
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Nettbasert kurs 20 timer 1 275 kr
Kurset gir deg en opplevelsesrik og praktisk opplæring i Windows 7. En kombinasjon av videoer, teori, oppskrifter, oppgaver og tester gjør det enkelt å lære seg de ny... [+]
Jobb smart og effektivt! Enklere, bedre og mer tilpasningsdyktig oppgavelinje. Hopplister med de ti sist brukte filene for hvert program på startmenyen og oppgavelinjen. Søk overalt, både i startmenyen og i Windows Utforsker. Biblioteker samler f. eks. dokumenter, bilder og musikk på ett sted. Miniprogrammer og klistrelapper direkte på skrivebordet. Forhåndsvisning av vinduer ved hjelp av miniatyrbilder. Enkel vindusbehandling med funksjonene Fest, Aero Shake og Aero-kikking. Tema med skrivebordsbakgrunn, vindusfarge, lyder og skjermbeskytter samlet i ett valg. Skrivebordsbakgrunner med lysbildeframvisning. Sikkerhets- og vedlikeholdsmeldinger samlet på ett sted i det forbedrede handlingssenteret. Innholdsfortegnelse: Bli kjent med Windows 7 Oppstart og pålogging Skrivebordet og oppgavelinjen Aero Programmer Avslutning Hjelpesystemet Skrivebordet Startmenyen Oppgavelinjen Miniprogrammer Klistrelapper Skrivebordsikoner Vinduer Vinduer Håndtering av vinduer Funksjonen Fest Funksjonen Aero Shake Funksjonen Aero-kikking Funksjonen Flip 3D Innstillinger Kontrollpanelet Informasjon om datamaskinen Dato og klokkeslett Volum Tema Skrivebordsbakgrunn Vindusfarge Lyder Skjermbeskytter Skjermoppløsning Skriftstørrelse på skjermen Mus Inndataspråk Installering Enheter og skrivere Programvare Windows-funksjoner Windows Live Essentials Windows Update Handlingssenter Systemgjenoppretting Oppgavebehandling Datavirus Windows Defender Filer, mapper og biblioteker Filer Mapper Biblioteker Snarveier Stasjoner Lagringsenheter Filbehandling Mappevinduet Visninger Flytting og kopiering Sletting og gjenoppretting Komprimering Vedlegg Tekstbehandling Programvinduet Innskriving Lagring Åpning Merking Sletting Flytting og kopiering Skjermdumper Utskriftsformat Forhåndsvisning Utskrift Utskriftskø Hurtigtaster 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. [-]
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Oslo 5 dager 27 500 kr
27 Nov
Denne Boot Campen retter seg mot deg som jobber med deployment, drift og vedlikehold av Windows 10. [+]
Boot Campen er en aksellerert versjon av de to 5-dagerskursene MS 20697-1: Installing and Configuring Windows 10 og MS 20697-2: Deploying and Managing Windows 10 Using Enterprise Services . Kurset passer derfor for deg som skal ta den offisielle sertifiseringen MCSA Windows 10 på en rask og effektiv måte. Kurset har utvidet undervisningstid.    Inkludert i kursprisen er: Offisiell kursdokumentasjon for begge kurs (MS 20697-1 og MS 20697-2) Measure Up selvtest som forberedelse til å ta eksamen 70-697 og 70-698 Sertifiseringstestene 70-697 og 70-698   Betal din Boot Camp med SATV kursvouchere   Du kan benytte kursvouchere som del-betaling for denne Boot Campen. På grunn av utvidede kursdager betaler du Boot Campen med 7 kursvouchere. I tillegg må du betale for sertifiseringstestene 70-697 og 70-698. Pris for de to testene er kr 4300 + mva (kr 2150 + mva per test). Skriv inn i anmerkningsfeltet når du bestiller at Boot Campen blir betalt med kursvouchere.   [-]
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3 dager 15 000 kr
This three-day instructor-led course provides students moving from earlier releases of SQL Server with an introduction to the new features in SQL Server 2016. [+]
After completing this course, students will be able to: Describe key capabilities and components of SQL Server 2016 Describe new and enhanced features in SQL Server performance Describes new and enhanced features in SQL Server security Describe what’s new in SQL Server Availability and Scalability Describe new and enhanced features in reporting and PowerBI in SQL Server 2016 Describe new and enhanced data access features Describe new and enhanced features in SQL Server OLAP Describe new SQL Server cloud functionality Module 1: Introduction to SQL Server 2016 Describe key capabilities and components of SQL Server 2016 Lessons Overview of SQL Server 2016 SQL Server 2016 Editions and Components Installing SQL Server 2016 SQL Server Management Studio Enhancements Lab : Installing SQL Server 2016 After completing this module, you will be able to: Describe the key elements of SQL Server 2016 Describe the components and editions of SQL Server 2016 Install SQL Server 2016 Describe the enhancement to SQL Server Management Studio Module 2: What’s New in SQL Server Performance This module describes new and enhanced features in SQL Server performance. Lessons Columnstore Indexes for Operational Analytics In-memory OLTP Enhancements The Query Data Store Native JSON Temporal Tables Lab : Implementing SQL Server 2016 Performance Improvements After completing this module, you will be able to: Describe the use of Columnstore indexes for operational analytics Describe the enhancements to in-memory OLTP Use the query data store Use Native JSON Describe and use temporal tables Module 3: What’s New in SQL Server Security? This module describes new and enhanced features in SQL Server security. Lessons Using Always Encrypted Row-level Security Dynamic Data Masking Lab : Implementing SQL Server 2016 Security Improvements 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: What’s New in SQL Server Availability and Scalability? This module introduces what’s new in SQL Server Availability and Scalability. Lessons Enhanced AlwaysOn Availability Groups What’s New in Database Caching? Using Windows Server 2016 Lab : Availability and Scalability with SQL Server 2016 After completing this module, you will be able to: Describe the enhancements to AlwaysOn availability groups Describe what’s new in database caching Use Windows Server 2016 with SQL Server 2016 Module 5: What’s New in SQL Server Reporting and BI This module introduces reporting and BI enhancements and new features in SQL Server 2016. Lessons Reporting Services Enhancements PowerBI Enhancements Lab : Implementing PowerBI After completing this module, you will be able to: Describe the enhancements to reporting services Describe the enhancements to PowerBI Module 6: What’s New in SQL Server Data Access? At the end of this module you will be able to describe data access enhancements in SQL Server 2016. Lessons PolyBase Enhancements to Integration Services Lab : Using PolyBase After completing this module, you will be able to: Describe and install PolyBase Describe enhancements to SSIS Module 7: New and Enhanced Features in SQL Server OLAP This module describes enhancements in SQL Server OLAP. Lessons New and Enhanced Features in SQL Server OLAP What’s New in SQL Server Analysis Services Lab : OLAP with SQL Server After completing this module, you will be able to: Describe new and enhanced features in SQL Server OLAP Describe new and enhanced features in SQL Server analysis services Module 8: What’s New for SQL Server in the Cloud? This module describes new SQL Server cloud functionality. Lessons Stretch Database Enhanced Backups to Azure Introduction to SQL Server 2016 Hybrid Cloud What’s New in SQL Server Azure Database Lab : Using SQL Server in a Hybrid Cloud After completing this module, you will be able to: Describe stretch databases and why you would use them Understand the enhanced backup options Be aware of SQL Server hybrid cloud Describe what’s new in SQL Server Azure database [-]
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5 dager 22 500 kr
This 5-day instructor led course provides students with the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server 2014. This course is th... [+]
This course is intended for Database Administrators, Database Developers, and Business Intelligence professionals. The course will very likely be well attended by SQL power users who aren’t necessarily database-focused or plan on taking the exam; namely, report writers, business analysts and client application developers. At Course CompletionAfter completing this course, students will be able to: Write SELECT queries Query multiple tables Sort and filter data Describe the use of data types in SQL Server Modify data using Transact-SQL Use built-in functions Group and aggregate data Use subqueries Use table expressions Use set operators Use window ranking, offset and aggregate functions • Implement pivoting and grouping sets Execute stored procedures Program with T-SQL Implement error handling Implement transactions   [-]
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5 dager 22 500 kr
This five-day instructor-led course provides students with the knowledge and skills to maintain a Microsoft SQL Server 2014 database. The course focuses on teaching indiv... [+]
Kursinstruktør Ernst Rijk Ernst has been working in IT since 2000 as a database administrator, database developer and trainer, specialized in Microsoft SQL Server. Since 2007 he has been partner in designing, implementing and maintaining SQL Server Infrastructures for mainly mid-size and large companies. Ernst also deliver basic- and advanced training for Microsoft Partners for Learning Solutions throughout the world. He also has been working on SQL Server hands-on labs, as a proctor on Microsoft TechEd’s, as a community member and working on a project-basis for Microsoft.     Kursinnhold About this CourseThis five-day instructor-led course provides students with the knowledge and skills to maintain a Microsoft SQL Server 2014 database. The course focuses on teaching individuals how to use SQL Server 2014 product features and tools related to maintaining a database. Audience ProfileThe primary audience for this course is individuals who administer and maintain SQL Server databases. These individuals perform database administration and maintenance as their primary area of responsibility, or work in environments where databases play a key role in their primary job. At Course CompletionAfter completing this course, students will be able to: •Plan and install SQL Server. •Describe system databases, the physical structure of databases, and the most common configuration options related to them. •Explain the concept of the transaction log and the SQL Server recovery models and implement different backup strategies that are available with SQL Server. •Back up SQL Server databases. •Restore SQL Server databases. •Import and export data by using wizards, the bulk copy utility, and data-tier applications. •Work with SQL Server security models, logins, users, and contained databases. •Work with server roles and database roles. •Use permissions to secure resources. •Use SQL Server audit and Transparent Data Encryption. •Work with SQL Server Agent to configure and execute jobs. •Implement SQL Server Agent security, proxy accounts, and credentials. •Configure database mail, alerts, and notifications. •Create database maintenance plans. •Use SQL Server Profiler, SQL Trace, and Distributed Relay. •Use Distributed Management Views and configure data collection. Kurset fører til eksamen 70-462 [-]
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