Microsoft certification
MCSA Solutions Associate
MCSA - SQL Server 2016
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4 treff ( i Trondheim ) i MCSA - SQL Server 2016
 

Oslo 5 dager 22 500 kr
11 Sep
16 Oct
20 Nov
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
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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Trondheim Og 3 andre steder 3 dager 15 000 kr
28 Aug
04 Sep
11 Sep
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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Oslo 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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