"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
Module 1: Introduction to SQL Server 2014
This module introduces key features of SQL Server 2014.
Lessons
Lab: Exploring SQL Server 2014
After completing this module, you will be able to:
Module 2: What’s New in SQL Server Database Development
This module describes enhancements to Transact-SQL and other database development features since SQL Server 2008.
Lessons
Lab: Developing SQL Server 2014 Databases
After completing this module, you will be able to:
Module 3: In-Memory Database Capabilities
This module describes how SQL server 2014 enables you to leverage in-memory technologies to enhance database performance.
Lessons
Lab: Using In-Memory Database Capabilities
After completing this module, you will be able to:
Module 4: Scripting SQL Server 2014
This lesson describes how you can use dynamic management views and PowerShell to script administrative tasks in SQL server 2014.
Lessons
Lab: Managing SQL Server with Scripts
After completing this module, you will be able to:
Module 5: Implementing Security in Microsoft SQL Server 2014
This module describes the enhancements to security features since SQL Server 2008.
Lessons
Lab: Implementing Security
After completing this module, you will be able to:
Module 6: High Availability and Data Recovery Enhancements
This module describes enhancements to SQL Server availability and data recovery features since SQL Server 2008.
Lessons
Lab: Using Always On Availability Groups
After completing this module, you will be able to:
Module 7: New and Enhanced Features in SQL Server Integration Services
This module describes enhancements to SQL Server Integration Services since SQL Server 2008.
Lessons
Lab: Using SQL Server Integration Services
After completing this module, you will be able to:
Use the CDC Control task to perform incremental data extractions in an ETL solution.
Module 8: Data Quality Services
This module explains how to use the SQL Server 2014 Data Quality Services (DQS) to provide a computer assisted process for cleansing data values and identifying and removing duplicate data entities.
Lessons
Lab: Cleansing Data
Lab: Deduplicating Data
After completing this module, you will be able to:
Module 9: Master Data Services
This module introduces Master Data Services and describes its key configuration options and how to import and export data.
Lessons
Lab: Implementing Master Data Services
After completing this module, you will be able to:
Module 10: SQL Server 2014 Reporting Services
This module describes new and enhanced features in SQL Server Reporting Services.
Lessons
Lab: Using SQL Server 2014 Reporting Services
After completing this module, you will be able to:
Module 11: Implementing an Analysis Services Tabular Data Model
This module describes Analysis Services tabular data models and explains how to develop a tabular data model by using the SQL Server Data Tools for BI add-in for Visual Studio.
Lessons
Lab: Working with an Analysis Services Tabular Data Model
After completing this module, you will be able to:
Module 12: Self-Service BI with Microsoft Excel
This module introduces the self-service BI capabilities that can be delivered through Microsoft Excel 2013 and related technologies.
Lessons
Lab: Self-Service BI with Excel
After completing this module, you will be able to:
Module 13: Introduction to Cloud Data Solutions
This module introduces some of the key Microsoft technologies that you can use to implement a cloud solution for data.
Lessons
Lab: Using Windows Azure
After completing this module, you will be able to:
Module 14: Windows Azure SQL Database
This module introduces Windows Azure SQL Database, a Platform-as-a-Service (PaaS) solution for cloud-based relational database storage.
Lessons
Lab: Using Windows Azure SQL Database
After completing this module, you will be able to:
Module 15: SQL Server in Windows Azure Virtual Machines
This module explores how you can use Windows Azure virtual machines in which SQL Server is installed to create a cloud-based solution for data.
Lessons
Lab: Using Windows Azure Virtual Machines
After completing this module, you will be able to:
Module 16: Implementing Big Data Solutions
This module describes the main features of big data, and the Microsoft technologies that you can use to build big data analytical solutions. In particular, the module focuses on Windows Azure HDInsight and the Windows Azure Marketplace as core elements of the Microsoft solution for big data.
Lessons
Lab: Creating a Big Data Solution
After completing this module, you will be able to:
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
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Client feedback shows that delegates on our courses will best engage when they can relate course topics to their own day-to-day practices and requirements. Where possible, we run this course as a consultative, workshop-style event, in which discussion of relevant topics takes place in relation to the delegates' own applications and scenarios.
To facilitate this type of event, a subject matter expert leads the training, hands-on labs and discussions to ensure course topics are covered in a meaningful, relevant and timely manner. Delegates may be able to bring their own practical requirements and work to the course if the subjects and course topics are suitable.
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