This document contains examples of business intelligence projects completed by Hong-Bing Li using the Microsoft BI product stack, including SQL Server Integration Services, SQL Server Analysis Services, SQL Server Reporting Services, Performance Point Services, and SharePoint Server. The portfolio demonstrates skills in ETL processing, cube development, report building, dashboard creation, and MDX programming. It provides details on sample projects involving data extraction, transformation, loading, OLAP cube design, KPI development, parameterized reporting, and multidimensional analysis.
Cleaning out some of my old work. I found this pdf on Reporting Services 2016. its a year old, but if you are working with SSRS 2016 it will be a good start for you. This information is provided by me personally and not from Microsoft. So please check for any updates to the product as this is a year old.
This is also the kind of content to expect from a training day at SQLBits. So why not check out the training day sessions http://www.sqlbits.com/information/trainingday
This quick demo illustrates how I used a stored procedure with multiple selected parameter values within a SSRS Report. This technique can be used in the situation where developers want to utilize stored procedures, either by creating them from scratch or from existing legacy system, to develop new SSRS reports. It allows organizations to take advantage of the strength of stored procedures in maintenance and performance.
Cleaning out some of my old work. I found this pdf on Reporting Services 2016. its a year old, but if you are working with SSRS 2016 it will be a good start for you. This information is provided by me personally and not from Microsoft. So please check for any updates to the product as this is a year old.
This is also the kind of content to expect from a training day at SQLBits. So why not check out the training day sessions http://www.sqlbits.com/information/trainingday
This quick demo illustrates how I used a stored procedure with multiple selected parameter values within a SSRS Report. This technique can be used in the situation where developers want to utilize stored procedures, either by creating them from scratch or from existing legacy system, to develop new SSRS reports. It allows organizations to take advantage of the strength of stored procedures in maintenance and performance.
Want to know what it takes to be a strong leader? Start by effectively leading yourself. Learn the importance of self-leadership and the power you have within yourself. Learn how leading yourself builds confidence and how your new found confidence makes others notice you and how effective you are in your own life. Being an effective leader to yourself begins to prepare you in leading others. After all, if you can’t lead yourself, how can you lead others?
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
2. Page Contents
3 SQL Server Integration Services (SSIS)
8 SQL Server Analysis Services (SSAS)
15 SQL Server Reporting Services (SSRS)
20 Performance Point Services (PPS)
29 SharePoint Server(SP)
32 MDX Programming
This portfolio contains examples of my business intelligence
projects using Microsoft BI Product Stack.
4. A new database “All Works” is setup as the staging area for the ETL process. A
thorough understanding of the relationships between the tables in the following
data diagram is important in determining the sequence of tables to be loaded and
in enforcing referential integrity.
4
5. A Script Task is utilized to maintain multiple sets of variables with scripts in C#, for
instance, one for keeping track of row counts of data processed dynamically at the
folder level, one for row counts at the file level.
6. One SSIS package is created to do ETL for one target table. The following illustrates
the data processing within the Job Timesheets package: the data process pipeline
starts by extracting data from a CSV file. The data is then conversed, processed and
transformed (filter, remove duplicates, lookups, validate) as it passes through the
pipeline, and is finally loaded into the target job timesheets table either as inserts
or updates. It logs any rows that error out for review and correction.
Similarly, seven more packages are generated for seven target tables.
6
7. 7
A Sequence Container is deployed to run the eight ETL packages in sequence based on the
relationships between the tables in the “All Works” Database to ensure referential integrity. If the
eight packages are processed successfully, data maintenance tasks are performed. A success or
failure notice email will be sent out depending on whether the data maintenance tasks are all
successfully completed or not.
A Master Package is created to contain the Sequence Container, the maintenance tasks and the
email notices; then a SQL Server Agent Job is setup to run the Master Package on a predefined
schedule to automate the entire data processing procedure.
13. 13
This is an example of a KPI developed from the AllWorks.cube, which is deployed to
the Excel Spreadsheet for the end users. All the data in the cube, including all
KPIs, can be explored through the Pivot Table Field List.
19. 19
Whenever users make a selection on the "City" parameter, the cascading parameter "Product
SKU“’s values are filtered immediately based on the selected cities. So the list of values for a
cascading parameter depends on the value chosen in the preceding parameter which helps users
manage large amounts of report data. The technique of implementing a cascading parameter in
SSRS shown in this Product Report Demo uses MDX, which is based on OLAP, is somewhat more
complex than that using SQL, which is based on regular OLTP RDBMS.
21. 21
Large Scorecard with Multiple KPIs and Hotlinks to a
supporting report (Part 1). Right click a KPI, a supporting chart or table will
pop up to the right of the Scorecard, as shown in the next two slides.
22. 22
Large Scorecard with Multiple KPIs and their Hotlinks to a supporting
report (Part 2 with partial supporting chart)
23. Large Scorecard with Multiple KPIs and Hotlinks to a supporting
report (Part 3 with the complete Supporting Chart)
24. This dual Y-axis chart created in PPS can be a great tool for data analysis as: 1. Two different types of
measures can be analyzed simultaneously against dimensional data on the X-Axis, such as Dollar Sales (left
Y-axis) and Product Percent of Parent Sales (right Y-Axis) shown below; 2. These two measures can be
broken out further to provide more detail in tables or charts as in the report below where the right Y-Axis
measuring Product Percent is further explained by the Product Siblings breakout; 3. Data can be explored
at different levels of the Hierarchy family (see the top Product Hierarchy dropdown list) which functions as
a filter, allowing one to obtain summary and detail statistics at different levels accordingly and export
them to Excel or PowerPoint; and 4. Data points in the chart can be drilled down to various dimensions as
demonstrated below, allowing for the creation of additional charts (see chart in next slide) which permit
one to investigate the contribution of various factors.
25. Continued: this chart is generated by drilling down from the previous
slide. For example, the 21.32% of health and fitness sales of parents in
Aug. 2005 is broken out by region.
33. MDX query for the primary dashboard
(Slide 15 and 16 in SSRS Section)
34. This MDX Query shows two measures, Internet Sales Amount and
Internet Freight Cost, are sliced against three dimensions:
Date (FY Year), Product and Customer (Country)