NEWS FLASH: Power BI reports can be deployed to SQL Server Reporting Services web portal. The production-ready release is targeted for mid 2017. This is much sooner than most folks in the community were anticipating. An installable technical preview is targeted for January of 2017. This announcement was just made on the SQL Server Reporting Services Team Blog.
From the announcement:
Which Power BI capabilities do you plan to add to SSRS?
We’re focusing our efforts on adding Power BI reports to SSRS and on supporting the features Power BI Desktop offers for use within these reports, including a variety of data connectors and visualizations. Beyond the current Technical Preview, we plan to add support for
Additional data connectors (besides Analysis Services), cached data, and scheduled data refresh
Power BI mobile apps (viewing Power BI reports stored in SSRS)
Given our focus on Power BI reports, we have no current plans to add other Power BI features (such as “dashboards,” Q&A, Quick Insights, and others) to SSRS.
What can we expect in the next Technical Preview of Power BI reports in SSRS?
With the current Technical Preview, we used a pre-configured Azure VM to offer you a preview that’s quick and easy to try. Our focus for the next Technical Preview is on a version you can download and install on your own VM or server, a necessary next step toward a production-ready version. Aside from this aspect, the functionality will be similar to the current Technical Preview’s.
When will we have this next Technical Preview?
We’re targeting January 2017 to release this next Technical Preview.
What’s the release vehicle for a production-ready version?
We plan to release the production-ready version in the next SQL Server release wave. We won’t be releasing it in a Service Pack, Cumulative Update, or other form of update for SSRS 2016.
When will we have a production-ready version?
We’re targeting availability in mid-2017.
Can I deploy SSRS 2016 today and migrate to SSRS with Power BI reports when it’s available?
Yes, we aim to make it easy to migrate to SSRS with Power BI reports from SSRS 2016 and previous versions.
As I visit businesses, consulting clients and training classes, to teach data reporting and analytics; there is a recurring conversation. It is one that I have had for eighteen years. The audiences change and the technology implementations are a little different over time, but the essential conversation is still the same.
This happened again last week as I was trying to explain the unique characteristics of Multidimensional and Tabular storage to a client. I’m developing a training course where I needed to explain the concepts once again – and then it hit me! …these unique data storage and analytic technologies do what we dream about in science fiction stories and achieve capabilities we imagine existing in the distant future. Channel surfacing on television this week, I watched an episode of Timeless, a Star Trek rerun and a Star Wars movie – where time-travel, space-warp travel and teleportation were commonplace realities. Although fictional as they were portrayed, I think these concepts are very real in our technology landscape. Please indulge me as I explain.
We live in a Linear world. We reside in a place, work in a place, store and move stuff from place to place. Centuries ago, if man needed to move something (perhaps just himself) to a distant place, he would walk, ride a horse or take a sailboat. In weeks or months, he would arrive in another place. Today, we get in a car, navigate the streets, perhaps highways and Interstates and then arrive in a different place within minutes or hours. For longer trips, we board a large metal tube, sit very close to several complete strangers as we climb up into the sky; some period of time goes by and then we somehow arrive in a distant place along with our stuff. At 35,000 feet where the air is very thin, a jet airplane can travel many times faster; leaving an altitude where certain physical laws restrict speed, only to re-enter that atmosphere after it has arrived. To someone from the distant past, this experience would seem fictional.
On a daily basis, I sit or stand in front of my computer monitors, and see and speak with people in distant places. We have live conversations about the weather in their time zone or hemisphere. Through some strange but now common process, technology converts our speech, images, directions, documents, effort and thoughts into 8-bit network packets and electrons that travel almost instantly through space; leaving the earth for a short period, to be transported and reassembled somewhere else.
Years ago, when I wanted new stuff, I would drive to the store. If they didn’t have what I wanted or if it was too expensive, I would spend the day driving to different stores. Today, I “go” to the store on my computer and the very next day, my stuff arrives on my doorstep. We are continually inventing ways to bend space and teleport things within the changing confines of reality.
Data storage is much like the real world. We store terabytes and petabytes (numbers we can’t even explain) in a small space. But, to navigate through the linear storage structure of relational databases and files, the data might as well be thousands of miles or kilometers apart. In order to perform time-variance and statistical calculations, program code must access a group of records in one location to aggregate them, and then find a related group of records – perhaps millions of rows apart – to perform another aggregation. The query might need to perform this operation dozens, hundreds or thousands of times; before it can calculate the final results. One of the best examples is a time-series calculation where a query must “visit” records for each time period to perform an aggregation. The effort is compounded when the goal is to compare aggregate values and variances for parallel and relative periods (e.g. “one year ago”, “three years ago”, etc.) and then perform forecasting or regressions.
In relational storage, the query engine must “drive” from place to place, navigating the streets (file groups, files, pages and rows) to find the records. In an analytic structure (like an Analysis Services cube, or SSAS Tabular model or Power Pivot/Power BI in-memory model), the query engine performs a calculation operation and then teleports to a new location to find a different group of related records.
In a multidimensional cube, the storage processing code quite literally folds space to create the cube structure and pre-calculate some of the aggregate values. Rather than leaving all the data in a linear table, it actually moves data segments close together, reshaping the data structure (thus, the term “cube”). This approach required a great deal of complexity in both the software and the resulting data structure. Advances in computer hardware and software techniques helped simplify the approach. The in-memory tabular model exists in linear, yet fragments of compressed space – where the actual distance between adjacent records is much closer than it appears to be. When the query process is done looking up a group of records it warps to the next group of related records using a memory address. Instead of traveling through space, it steps out of it, like the jet airplane leaving the atmosphere, to re-enter in a different location. It takes much less time to run queries because it is not moving through all the rows of linear tables.
I recently needed to replicate all of the reports on one report server to a different server. I started downloading each report one at a time to a file system folder, moving them to the other machine and then uploading each RDL file. Needless to say, that’s a slow and painful process. Since a new set of PowerShell command lets (Cmdets) were introduced for Reporting Service just a couple of weeks ago, I decided to give them a try and share the results.
Aaron Nelson, long-time Microsoft Data Platform MVP and PowerShell fanatic, has literally been hounding me for the past few weeks to take some time and look at a new PowerShell library and scripts originally developed by Parth Shah from the SSRS product team. Jaime Tarquino also played a big role in automating the build process. It’s the personal commitment of folks at Microsoft like Parth and Jaime that really make a product like SSRS shine.
Aaron can be pretty persistent and I admit it’s ironic that I’ve been too busy finishing up the final editing work on the Wrox SSRS 2016 book and the new edX SSRS course to look at these RS PowerShell CmdLets but I’m glad that I did because they’re an absolute gold mine.
Back to my project… I have developed several demo and lab exercise reports for the new edX SSRS course: Analyzing and Visualizing Data with SQL Server Reporting Services. The development environment is an Azure virtual machine that I recently didn’t have access to while travelling and needed to move all the reports to a local VM to continue my work. I needed to make sure that current versions of these dozens of reports are on both servers. Using a couple of new PowerShell commands, this was quite easy. Here’s how it worked:
Step 1: I open the PowerShell ISE console on the server where I need to archive the reports (shown with the script I’ll run in the next few steps)
Step 2: run a command to download and install the rstools library (see line 1):
You need to be running PowerShell as Administrator in order to do this.
My favorite command among them is this one which will upload an entire folder worth of Reports & Datasets to an SSRS server for you. Here’s an example using Jamie Thomson’s SSIS Reporting Pack (attached):
I’m pleased to present a four-week, on-line SSRS 2016 course on behalf of Microsoft; hosted on the edX platform developed by Harvard, MIT and other major universities. The first session began this week but there is still time to get started. Additional sessions will also be offered in the future.
This is not a promotional free trial or some kind of limited offer to get you to sign-up for a more expensive training class. It is high-quality, in-depth training sponsored and produced by Microsoft for free, and led by yours truly – and co-presented by Chris Randall; Senior Content Developer for Microsoft Learning Experiences. The course, with all the materials are free. If you would like an official verification certificate, it’s optional and a mere $49 extra. This course provides general knowledge, helps students develop basic, foundational skills and then focuses specifically on data visualization using existing and newer SSRS features.
Learn to create mobile reports, paginated reports, and KPIs using business data with SQL Server Reporting Services (SSRS).
In this computer science course, you will learn to build reports with SQL Server Reporting Services, which includes new visualization features and mobile capabilities. You will learn to create reporting solutions, mobile reports and dashboards.
Whether you’re new to reporting services, or experienced with earlier versions, we’ll show you how to build tables, matrices, advanced visualizations, and dashboards with key performance indicators. You’ll design and deploy compelling, interactive reports for smartphones, tablets, and browsers.
By the end of the course, you’ll have developed a complete reporting solution and be ready to analyze and visualize your own business data with SQL Server Reporting Services.
Note: To complete the hands-on elements in this course, you will require an Azure subscription. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.
Skip Syllabus DescriptionModule 1: Report and Dashboard Solutions
This module introduces report concepts, authoring roles, and tools available to create reports and dashboards. Module 2: Basic Report Design
This module presents the reporting design and deployment ecosystem and lifecycle, report design techniques, and the expressions language of SQL Server Reporting Services. Module 3: Visual and Interactive Reporting
This module introduces charts, scorecards and dashboards, and how to author analytic reports using data stored in multidimensional cubes and in-memory tabular models. Module 4: Mobile Report Solutions
This module introduces mobile reports, including layouts and deployment, and how to add key performance indicators (KPIs) to your report environment. Final Exam
The final exam accounts for 40% of your grade and will be combined with the weekly quizzes to determine your overall score. You must achieve an overall score of 70% or higher to pass this course and earn a certificate.
Meet the instructors
Intelligent Business LLC
Senior Content Developer, Microsoft Learning Experiences