Data Engineer/Data Analyst - SQL | Azure | ETL | SSIS | BI
- Description
- Curriculum
- FAQ
- Reviews
SQL or Structured Query Language is a critical tool for data professionals. It is undoubtedly the most important language for getting a job in the field of data analysis or data sciences. Millions of data points are being generated every minute. And raw data does not have any story to tell. After all this data gets stored in databases and professionals use SQL to extract this data for further analysis.
Azure SQL is a family of managed, secure, and intelligent products that use the SQL Server database engine in the Azure cloud.
- Azure SQL Database: Support modern cloud applications on an intelligent, managed database service, that includes serverless compute.
- Azure SQL Managed Instance: Modernize your existing SQL Server applications at scale with an intelligent fully managed instance as a service, with almost 100% feature parity with the SQL Server database engine. Best for most migrations to the cloud.
- SQL Server on Azure VMs: Lift-and-shift your SQL Server workloads with ease and maintain 100% SQL Server compatibility and operating system-level access.
Azure SQL is built upon the familiar SQL Server engine, so you can migrate applications with ease and continue to use the tools, languages, and resources you’re familiar with. Your skills and experience transfer to the cloud, so you can do even more with what you already have.
Extract, transform, and load (ETL) is a data pipeline used to collect data from various sources, transform the data according to business rules, and load it into a destination data store.
SQL Server Integration Services (SSIS) is a useful and powerful Business Intelligence Tool . It is best suited to work with SQL Server Database . It is added to SQL Server Database when you install SQL Server Data Tools (SSDT)which adds the Business Intelligence Templates to Visual studio that is used to create Integration projects.
Power BI is a business analytics solution that lets you visualize your data and share insights across your organization, or embed them in your app or website. Connect to hundreds of data sources and bring your data to life with live dashboards and reports.
Discover how to quickly glean insights from your data using Power BI. This formidable set of business analytics tools—which includes the Power BI service, Power BI Desktop, and Power BI Mobile—can help you more effectively create and share impactful visualizations with others in your organization.
In this beginners course you will learn how to get started with this powerful toolset. We will cover topics like connecting to and transforming web based data sources. You will learn how to publish and share your reports and visuals on the Power BI service.
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5What is SQL ServerVideo lesson
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6SQL Server EditionsVideo lesson
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7Hardware | Software RequirementsVideo lesson
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8SQL Server DownloadVideo lesson
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9SQL Server InstallationVideo lesson
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10Installing SSMSVideo lesson
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11SQL Server Configuration ManagerVideo lesson
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12Connecting SSMS to SQL ServerVideo lesson
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13Download Sample DatabaseVideo lesson
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14Install adventureworks DW DatabaseVideo lesson
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15Database ConceptsVideo lesson
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25What is AzureVideo lesson
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26What is Azure SQLText lesson
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27Create Azure accountVideo lesson
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28Accessing Azure servicesVideo lesson
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29Create a database in Azure PortalVideo lesson
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30Query SQL Database in azure portalVideo lesson
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31Connect Azure SQL Database to SSMSVideo lesson
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32Insert data into Azure SQL DatabaseVideo lesson
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33Update data in Azure DatabaseVideo lesson
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34Delete Data from Azure databaseVideo lesson
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41What is ETLVideo lesson
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42ETL ProcessVideo lesson
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43Introduction to SSISVideo lesson
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44Create a new SSIS Project (vs 2019)Video lesson
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45Create a new SSIS Project (vs 2015)Video lesson
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46Add a flat file connection managerVideo lesson
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47Remap Column Data TypesVideo lesson
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48Add and configure OLE DB Connection ManagerVideo lesson
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49Add a data flow taskVideo lesson
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50Add and configure flat file sourceVideo lesson
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51Add and configure lookup transformationVideo lesson
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52Add and configure lookup for Date4Key TransformationVideo lesson
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53Add and configure OLE DB DestinationVideo lesson
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54Test and run SSIS PackageVideo lesson
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60Power BI Overview: Part 1Video lesson
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61Power BI Overview: Part 2Video lesson
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62Power BI Overview: Part 3Video lesson
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63Components of Power BIVideo lesson
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64Building blocks of Power BIVideo lesson
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65Power BI Desktop InterfaceVideo lesson
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66Power BI ServiceVideo lesson
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67Power BI AppsVideo lesson
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