Our Data Science Training program is aimed at database professionals who want to work in the industry and offer numerous services as Business Intelligence Developers. With the assistance of accredited instructors, you will be able to offer data analysis services using Microsoft SQL Server 2016.
Our instructors provide professional Microsoft SQL Server Training so you can utilize a range of development tools to report, implement, and manage of SQL Reporting Services. All of the teachings and skills learnt from the course turn you into expert Business Intelligence service providers in the industry.
After completing this course, students will be able to:
Describe reporting services and it’s components
Describe reporting services data sources
Implement paginated reports
Work with reporting services data
Visualize data with reporting services
Aggregate report data
Share reporting services reports
Administer reporting services
Expand and integrate reporting services
Describe mobile reports
Database professional wanting to work professionally as BI developers to efficiently design reports are the ideal candidates for this training program.
implementing reports and mobile reports are the most basic and essential roles you will be learning.
The secondary audiences for this course are power information workers.
Before attending this course, students must have:
Basic knowledge of the Microsoft Windows operating system and its core functionality.
2. What is the Difficulty level of the Analyzing Data with Microsoft SQL Server Reporting Services (MS-10990) certification training?
3. How will the Analyzing Data with Microsoft SQL Server Reporting Services (MS-10990) certification training benefit me in my current job role?
4. What is the Analyzing Data with Microsoft SQL Server Reporting Services (MS-10990) course objective?
5. How many tools are provided by Microsoft to create reporting services reports?
Microsoft provides three tools that you use to create Reporting Services reports:
6. What are the job roles responsible to create reports?
7. How many data processing extensions for different source system types are included by SSRS?
8. What are connection strings?
“Connection string” is a widely used computing term that refers to the information that is required to configure a connection from an application to a data source, stored as a delimited string. A connection string typically appears in the format that’s shown in the following code example:
property name=value; [propertyname=value;…]
A connection string might be made up of many properties and values. When an application attempts to connect to a data source, the connection string is passed as an argument to the software component that’s responsible for establishing the connection. This software component is often referred to as a data provider or database driver. Although the contents of the connection string vary according to the data source type and the environment where the connecting application is running, all connection strings might contain several different types of information, such as:
9. How to specify a report type and design a report?
After designing the query for the data, you need in your report, the next step is to choose a report type—tabular or matrix. You do this on the Select a Report Type page of the Report Wizard. Tabular reports display data in rows, while matrix reports show data fields grouped in rows and columns, with aggregated values in the intersecting cells, like a PivotTable or crosstab. When you have chosen your report type, you then need to design the report on the Design the Table or Design the Matrix page. To design the report, select your required field in the Available fields list and add it to the report in the Page, Column, Row, or Detail area. You can select more than one field for each section of the report. Reorder fields by using the up and down arrows on the page.
10. What are data filters?
Filters exclude certain rows from a dataset. You might want to show data that relates to a specific region, or country, whereas the dataset contains data for the whole country or region. There are two ways you filter data for a report:
11. What is a KPI and how are KPIs used?
A key performance indicator, or KPI, is a measure of performance. Each KPI comprises a goal, and a result. KPIs provide a popular management tool you use to measure important aspects of a business, a team, or a person’s performance. KPIs are often represented visually to make them easy and fast to understand. This means that anyone can see, at a glance, whether you are on target to meet the goal, or whether there are problems. KPIs make it possible to:
12. What is a subreport?
A subreport is a report within a report—it’s a separate report, normally stored in the same folder as the parent report, and always on the same reporting server. The subreport is embedded within the parent report. You can pass parameters, allowing subreports to contain relevant data. You can also embed more than one subreport within a report. You can think of the parent report as a container for other reports. Although the user is not aware that they are viewing a subreport, a second report is being displayed. Subreports are invoked for every row in the report, and so have a performance overhead.
13. What is drilldown and drillthrough?
When a user clicks to reveal more detailed information in a report, this is referred to as drilldown. Users often want to view summary information, and only explore details for specific groupings when they see an issue or an anomaly. Reporting Services supports this drilldown functionality—you hide or show groups in a report by clicking a toggle button that’s associated with a field in the parent group.
Drillthrough refers to the action when a user clicks a link in a summary report to find more detailed information. When a user clicks, the report that contains the detail is displayed. The detailed report might use the same dataset as the summary report—or a different dataset.
There are three different actions that you can add:
14. Why do we need mobile reports?
|Subjects||IT Ops & Management|
|Guaranteed To Run||Guaranteed To Run|
|Learning Style||Virtual Classroom|
|Course Duration||5 Days|
|VPA Discount||VPA Discount|
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.