0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

SQL Server 2016 Reporting Services Cookbook

You're reading from SQL Server 2016 Reporting Services Cookbook Your one-stop guide to operational reporting and mobile dashboards using SSRS 2016

Product type Paperback

Published in Nov 2016

Publisher Packt

ISBN-13 9781786461810

Length 596 pages

Edition 1st Edition

Languages

SQL

Tools

SQL Server

Concepts

Business Intelligence

Authors (2):

Robert Cain

Dinesh Priyankara

View More author details

Table of Contents (13) Chapters

Preface

1. Getting It Ready – Configuring Reporting Services FREE CHAPTER

2. Authoring Reports with SQL Server Data Tools

3. Advanced Report Authoring with SQL Server Data Tools

4. Authoring Reports with Report Builder

5. Improving User Experience – New Designing and Visualization Enhancements

6. Authoring Reports with the Mobile Report Publisher

7. Consuming Reports – Report Access Enhancement

8. Reporting Solutions for BI – Integration

9. SharePoint Integration

10. Administering and Managing Reporting Services

11. Securing Reports in Reporting Services

12. Custom Programming and Integration to .NET Applications

The designer tool - exploring SSDT

SQL Server Data Tools (SSDT) is the main interface for working with SQL Server Business Intelligence projects, including Reporting Services. It offers a full suite of utilities to not only author your reports but also assist you in doing so. It is worth taking time to explore SSDT.

Getting ready

In Chapter 1 , Getting It Ready - Configuring Reporting Services, Installing Reporting Services-related tools recipe, describes how to install SQL Server Data Tools. If these instructions were completed successfully, you should be able to launch SSDT. On Windows 10, simply click on the Start menu, pick All apps, and scroll to SQL Server Data Tools 2015, as shown in figure 2.01:

Getting ready

Figure 2.01

Don't confuse the version number of SSDT with the version of SQL Server. The version for SSDT is based on Visual Studio (more on that later). By default, SQL Server Data Tools 2015 comes already installed as part of Visual Studio 2015. If you don't have Visual...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at AU $24.99/month. Cancel anytime

Authors (2)

Priyankara

Priyankara

Dinesh Priyankara is an experienced professional and database enthusiast with skills in database management systems and business intelligence, especially on the Microsoft SQL Server product suite. Possessing over 16 years of experience on data related technologies, he does training, consulting, and is a top contributor to the local SQL Server community. In recognition of his contributions and expertise he has demonstrated, he was awarded the Microsoft Most Valuable Professional (MVP) award for SQL Server for 11 consecutive years since 2006. Dinesh is the Founder/Principal Architect of dinesQL (Pvt) Ltd (http://dinesql.com), a company that provides services on database, business intelligence, and training. In his spare time, he runs a blog at http://dinesql.blogspot.com with a follower base of over 100,000 from around the world and is a co-organizer of SQL Server Sri Lanka User Group (http://www.meetup.com/ssslug/). Even though he has written many articles on the database area, this is his first official book as a co-author.

See other products by Priyankara

Robert Cain

Robert Cain

Robert C. Cain (http://arcanecode.com) is a Microsoft MVP, MCTS Certified in BI, and is the owner of Arcane Training and Consulting, LLC. He is also a course author for Pluralsight, with over 11 courses to his credit. Robert is a team mate at Linchpin People, and co-author of four books. A popular speaker, Robert has presented at events such as the SQL PASS Summit, IT/Dev Connections, TechEd, CodeStock, and numerous SQL Saturdays. Robert has over 25 years' experience in the IT industry, working in a variety of fields including manufacturing, insurance, telecommunications and nuclear power.

See other products by Robert Cain

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m