Learn Qlik Sense Desktop the Easy and Fast way with Qlik Sense for Beginners (QS4B) - Sample
If you'd like to analyse your data so you can make informed decisions that help you reach your goals read on.
Qlik Sense can be used for all sorts of goals. For example in business that goal might be to make more profit, whereas for the personal user that goal might be to find where they are spending all their money.
Qlik Sense for Beginners (QS4B) will :
· Teach you how to create Qlik Sense apps from scratch in easy to understand steps with plenty of screenshots.
· Explain how to get data into a Qlik Sense apps from a variety of sources such as Excel, text files, access and sql databases.
· Show you how to create various charts and tables Qlik Sense for example bar, gauges,line,combo,treemaps and scatter plots.
· How to manage the Qlik Sense data model using joins, grouping, inline tables, link tables and dimensions.
Once you have mastered the basics some of the other topics we will cover are:
· Development Tips - Migrating from QlikView to Qlik Sense User.
· Development Techniques - subroutines and external scripts, crosstables.
· Advanced Functions such as Class, Intervalmatch, Dual and more.
· Set analysis
· QVDs and incremental loads
· Bookmarks
· Storytelling feature
· Qlik Sense Extensions
And much more...
Qlik Sense Desktop is a FREE product.
Examples are using Qlik Sense Desktop version 0.96
Qlik Sense Desktop has recently been release.
Buy with confidence on the Kindle knowing that you will get UPDATES to the book automatically.
Other books:
Practical QlikView
Practical QlikView 2 - Beyond Basic QlikView
Practical Sql: Microsoft Sql Server T-SQL for Beginners
https://www.youtube.com/user/practicalqlik
https://twitter.com/practicalqlik
http://www.techstuffy.com
Snowflake: The Good, the Bad, and the UglyTyler Wishnoff
Learn how to solve the top 3 challenges Snowflake customers face, and what you can do to ensure high-performance, intelligent analytics at any scale. Ideal for those currently using Snowflake and those considering it. Learn more at: https://kyligence.io/
QlikView is considered to be the most flexible business intelligence platforms for data visualization that business analysts and business intelligence (BI) developers can use to create advanced BI apps. It is not only fast to deploy and easy to learn, but also improves data vizualization practices. Several companies across the globe today like banking conglomerate, e-commerce, consulting or manufacturing companies have been using Qlikview and benefiting from it. It is a single application platform for all BI needs which is helping companies across the globe with unprecedented business insights.
Serverless Kafka and Spark in a Multi-Cloud Lakehouse ArchitectureKai Wähner
Apache Kafka in conjunction with Apache Spark became the de facto standard for processing and analyzing data. Both frameworks are open, flexible, and scalable.
Unfortunately, the latter makes operations a challenge for many teams. Ideally, teams can use serverless SaaS offerings to focus on business logic. However, hybrid and multi-cloud scenarios require a cloud-native platform that provides automated and elastic tooling to reduce the operations burden.
This session explores different architectures to build serverless Apache Kafka and Apache Spark multi-cloud architectures across regions and continents.
We start from the analytics perspective of a data lake and explore its relation to a fully integrated data streaming layer with Kafka to build a modern data Data Lakehouse.
Real-world use cases show the joint value and explore the benefit of the "delta lake" integration.
Snowflake: The Good, the Bad, and the UglyTyler Wishnoff
Learn how to solve the top 3 challenges Snowflake customers face, and what you can do to ensure high-performance, intelligent analytics at any scale. Ideal for those currently using Snowflake and those considering it. Learn more at: https://kyligence.io/
QlikView is considered to be the most flexible business intelligence platforms for data visualization that business analysts and business intelligence (BI) developers can use to create advanced BI apps. It is not only fast to deploy and easy to learn, but also improves data vizualization practices. Several companies across the globe today like banking conglomerate, e-commerce, consulting or manufacturing companies have been using Qlikview and benefiting from it. It is a single application platform for all BI needs which is helping companies across the globe with unprecedented business insights.
Serverless Kafka and Spark in a Multi-Cloud Lakehouse ArchitectureKai Wähner
Apache Kafka in conjunction with Apache Spark became the de facto standard for processing and analyzing data. Both frameworks are open, flexible, and scalable.
Unfortunately, the latter makes operations a challenge for many teams. Ideally, teams can use serverless SaaS offerings to focus on business logic. However, hybrid and multi-cloud scenarios require a cloud-native platform that provides automated and elastic tooling to reduce the operations burden.
This session explores different architectures to build serverless Apache Kafka and Apache Spark multi-cloud architectures across regions and continents.
We start from the analytics perspective of a data lake and explore its relation to a fully integrated data streaming layer with Kafka to build a modern data Data Lakehouse.
Real-world use cases show the joint value and explore the benefit of the "delta lake" integration.
Databricks is a Software-as-a-Service-like experience (or Spark-as-a-service) that is a tool for curating and processing massive amounts of data and developing, training and deploying models on that data, and managing the whole workflow process throughout the project. It is for those who are comfortable with Apache Spark as it is 100% based on Spark and is extensible with support for Scala, Java, R, and Python alongside Spark SQL, GraphX, Streaming and Machine Learning Library (Mllib). It has built-in integration with many data sources, has a workflow scheduler, allows for real-time workspace collaboration, and has performance improvements over traditional Apache Spark.
SAP Cloud Platform offers comprehensive data management capabilities to support both transactional and analytical scenarios. It provides a full range of SAP and open source data management solutions on a choice of public cloud providers to process any data and make data from any source available to the entire organization. Using SAP Cloud Platform Data & Storage services, you can build real-time transactional and analytical applications, highly scalable transactional applications, agile data marts and support data science scenarios.
A simplified version of my presentation:
- PowerBI solution architecture
- Key steps to visualize data in PowerBI
- PowerBI Demo
- R in PowerBI
- Custom Visuals
- PowerBI Report Server
- Azure services and Power BI
Modernizing to a Cloud Data ArchitectureDatabricks
Organizations with on-premises Hadoop infrastructure are bogged down by system complexity, unscalable infrastructure, and the increasing burden on DevOps to manage legacy architectures. Costs and resource utilization continue to go up while innovation has flatlined. In this session, you will learn why, now more than ever, enterprises are looking for cloud alternatives to Hadoop and are migrating off of the architecture in large numbers. You will also learn how elastic compute models’ benefits help one customer scale their analytics and AI workloads and best practices from their experience on a successful migration of their data and workloads to the cloud.
Apache Kafka Streams + Machine Learning / Deep LearningKai Wähner
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Big Data and Machine Learning are key for innovation in many industries today. Large amounts of historical data are stored and analyzed in Hadoop, Spark or other clusters to find patterns and insights, e.g. for predictive maintenance, fraud detection or cross-selling.
This first part of the session explains how to build analytic models with R, Python and Scala leveraging open source machine learning / deep learning frameworks like Apache Spark, TensorFlow or H2O.ai. The second part discusses how to leverage these built analytic models in your own streaming applications or microservices; leveraging the Apache Kafka cluster and Kafka Streams instead of building an own stream processing cluster. The session focuses on live demos and teaches lessons learned for executing analytic models in a highly scalable and performant way.
The last part explains how Apache Kafka can help to move from a manual build and deployment of analytic models to continuous online model improvement in real time.
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How to refresh your BI solution by providing the beauty of Power BI reports on premises and the ability from the same place to consume your legacy reports or to share efficiently your data model through a unique place. Demo based session with an architecture introduction and a "from the field" real project feedback.
The session will be a deep dive introduction to Snowflake that includes Snowflake architecture, Virtual Warehouses, Designing a real use case, Loading data into Snowflake from a Data Lake.
Building Modern Data Platform with Microsoft AzureDmitry Anoshin
This presentation will cover Cloud history and Microsoft Azure Data Analytics capabilities. Moreover, it has a real-world example of DW modernization. Finally, we will check the alternative solution on Azure using Snowflake and Matillion ETL.
Power bi (1)Power BI Online Training Hyderabad | power bi online training ben...Big IT Trainings
Power BI Desktop integrates proven Microsoft technologies the powerful Query engine, data modeling, and visualizations. All sorts of different data sources, then combine and shape them in ways that facilitate making interesting, in Power BI online Training.
SAP Cloud Platform - Integration, Extensibility & ServicesAndrew Harding
SAP Cloud Platform enables businesses to extend their SAP solutions to create new applications, integrate with other SAP solutions and external third parties (applications, businesses & government) with the addition of cloud services bringing access to the latest technologies such as IoT, Machine Learning, Intelligent RPA, etc.
Introduction to Google BigQuery. Slides used at the first GDG Cloud meetup in Brussels, about big data on Google Cloud Platform. (http://www.meetup.com/GDG-Cloud-Belgium/events/228206131)
OLAP on the Cloud with Azure Databricks and Azure SynapseAtScale
This presentation was part of the 2020 Global Summer Azure Data Fest. It explains how Cloud OLAP helps you to analyze large amounts of data on Azure Databricks, Azure Synapse and other data platforms without moving it. And, shows how to leverage AtScale’s Cloud OLAP perform multidimensional analysis – and derive business insights – on data sets from multiple providers – with no data prep or data engineering required.
Databricks is a Software-as-a-Service-like experience (or Spark-as-a-service) that is a tool for curating and processing massive amounts of data and developing, training and deploying models on that data, and managing the whole workflow process throughout the project. It is for those who are comfortable with Apache Spark as it is 100% based on Spark and is extensible with support for Scala, Java, R, and Python alongside Spark SQL, GraphX, Streaming and Machine Learning Library (Mllib). It has built-in integration with many data sources, has a workflow scheduler, allows for real-time workspace collaboration, and has performance improvements over traditional Apache Spark.
SAP Cloud Platform offers comprehensive data management capabilities to support both transactional and analytical scenarios. It provides a full range of SAP and open source data management solutions on a choice of public cloud providers to process any data and make data from any source available to the entire organization. Using SAP Cloud Platform Data & Storage services, you can build real-time transactional and analytical applications, highly scalable transactional applications, agile data marts and support data science scenarios.
A simplified version of my presentation:
- PowerBI solution architecture
- Key steps to visualize data in PowerBI
- PowerBI Demo
- R in PowerBI
- Custom Visuals
- PowerBI Report Server
- Azure services and Power BI
Modernizing to a Cloud Data ArchitectureDatabricks
Organizations with on-premises Hadoop infrastructure are bogged down by system complexity, unscalable infrastructure, and the increasing burden on DevOps to manage legacy architectures. Costs and resource utilization continue to go up while innovation has flatlined. In this session, you will learn why, now more than ever, enterprises are looking for cloud alternatives to Hadoop and are migrating off of the architecture in large numbers. You will also learn how elastic compute models’ benefits help one customer scale their analytics and AI workloads and best practices from their experience on a successful migration of their data and workloads to the cloud.
Apache Kafka Streams + Machine Learning / Deep LearningKai Wähner
Machine Learning and Deep Learning Applied to Real Time with Apache Kafka Streams...
Big Data and Machine Learning are key for innovation in many industries today. Large amounts of historical data are stored and analyzed in Hadoop, Spark or other clusters to find patterns and insights, e.g. for predictive maintenance, fraud detection or cross-selling.
This first part of the session explains how to build analytic models with R, Python and Scala leveraging open source machine learning / deep learning frameworks like Apache Spark, TensorFlow or H2O.ai. The second part discusses how to leverage these built analytic models in your own streaming applications or microservices; leveraging the Apache Kafka cluster and Kafka Streams instead of building an own stream processing cluster. The session focuses on live demos and teaches lessons learned for executing analytic models in a highly scalable and performant way.
The last part explains how Apache Kafka can help to move from a manual build and deployment of analytic models to continuous online model improvement in real time.
Your company is not-yet- ready for the cloud ?
How to refresh your BI solution by providing the beauty of Power BI reports on premises and the ability from the same place to consume your legacy reports or to share efficiently your data model through a unique place. Demo based session with an architecture introduction and a "from the field" real project feedback.
The session will be a deep dive introduction to Snowflake that includes Snowflake architecture, Virtual Warehouses, Designing a real use case, Loading data into Snowflake from a Data Lake.
Building Modern Data Platform with Microsoft AzureDmitry Anoshin
This presentation will cover Cloud history and Microsoft Azure Data Analytics capabilities. Moreover, it has a real-world example of DW modernization. Finally, we will check the alternative solution on Azure using Snowflake and Matillion ETL.
Power bi (1)Power BI Online Training Hyderabad | power bi online training ben...Big IT Trainings
Power BI Desktop integrates proven Microsoft technologies the powerful Query engine, data modeling, and visualizations. All sorts of different data sources, then combine and shape them in ways that facilitate making interesting, in Power BI online Training.
SAP Cloud Platform - Integration, Extensibility & ServicesAndrew Harding
SAP Cloud Platform enables businesses to extend their SAP solutions to create new applications, integrate with other SAP solutions and external third parties (applications, businesses & government) with the addition of cloud services bringing access to the latest technologies such as IoT, Machine Learning, Intelligent RPA, etc.
Introduction to Google BigQuery. Slides used at the first GDG Cloud meetup in Brussels, about big data on Google Cloud Platform. (http://www.meetup.com/GDG-Cloud-Belgium/events/228206131)
OLAP on the Cloud with Azure Databricks and Azure SynapseAtScale
This presentation was part of the 2020 Global Summer Azure Data Fest. It explains how Cloud OLAP helps you to analyze large amounts of data on Azure Databricks, Azure Synapse and other data platforms without moving it. And, shows how to leverage AtScale’s Cloud OLAP perform multidimensional analysis – and derive business insights – on data sets from multiple providers – with no data prep or data engineering required.
This presentation reviews Qlik and Tableau capabilities. It provides a summary of what the business intelligence experts say about each products pros and cons. It touches the surface on what each company provides and how much each product may cost.
Integrating QlikView with Salesforce.com was presented by David Sedgwick, Solutions Architect and Joe Francis, VP of Global Operations during the QlikView in Depth seminar track at The Business Discovery London event on 22nd November 2011
Modern analytics platform, designed to perform multidimensional analysis. These include Business Intelligence solutions, allowing you to make quick and accurate decisions.
Stand out by collaborative, advanced visualization, integration of data from multiple sources, as well as the option of using mobile devices. Simple and intuitive operation allows the end user to create their own ad-hoc analysis based on real data.
BPX group is an authorized partner of QlikTech – one of the leading business intelligence solutions. We have the QlikView Solution Provider and OEM status.
Thinking Outside the LMS - Taking SCORM to where people learn todayRustici Software
Presentation done by Mike Rustici at eLearning DevCon 2010. A look at how developers can use the SCORM Cloud API to connect learners to learning out around the web.
To be sure you can succesfully use the Agile methodology on your next software development project, simply ask yourself these four important questions.
Qalcwise Introduction to Designer v20160215qalcwise
Create your first Qalcwise Business App Tutorial.
Qalcwise Business Applications Cloud Platform.
This tutorial let's you create your first qalcwise business application. It's 2-4h teaching course. Have fun!!!
Introduction to GraphQL (or How I Learned to Stop Worrying about REST APIs)Hafiz Ismail
Talk for FOSSASIA 2016 (http://2016.fossasia.org)
----
This talk will give a brief and enlightening look into how GraphQL can help you address common weaknesses that you, as a web / mobile developer, would normally face with using / building typical REST API systems.
Let's stop fighting about whether we should implement the strictest interpretation of REST or how pragmatic REST-ful design is the only way to go, or debate about what REST is or what it should be.
A couple of demos (In Golang! Yay!) will be shown that are guaranteed to open up your eyes and see that the dawn of liberation for product developers is finally here.
Background: GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
Hafiz Ismail (@sogko) is a contributor to Go / Golang implementation of GraphQL server library (https://github.com/graphql-go/graphql) and is looking to encourage fellow developers to join in the collaborative effort.
Top 7 Angular Best Practices to Organize Your Angular AppKaty Slemon
Learn about Angular best practices to improve the performance of your existing Angular application. Tried and tested clean code checklist for your Angular app.
Notes on Deploying Machine-learning Models at ScaleDeep Kayal
While modeling techniques in machine learning have matured drastically, the deployment of models at scale has been overlooked. These are some learnings that I've had over the years, that I presented at Cognizant in Amsterdam.
Getting Started with Qlik Sense® Cloud: Understanding the BasicsQlik
Visual analytics with Qlik Sense® Cloud make it easy to uncover valuable business insights. Learn the basics and get the answers you need, right now.
With Qlik Sense® Cloud, there are no downloads, no hassles, and no catches – just reliable insights for your business. And it’s ready right now, at a price you can afford. In this SlideShare, we break down the basics of Qlik Sense Cloud, including its unique associative model, the ease of collaboration, and compelling, interactive visualizations that help you tell persuasive stories. Find out how to get the answers your business needs, right now.
Discussion on angular offering, approaches to integrate web worker in angular (5 and 6) application, their pros and cons. A sample example implementation using custom web worker approach and integrating the same with CLI(1 and 6) and the application.
Similar to Qlik Sense for Beginners - www.techstuffy.com - QlikView Next Generation (20)
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
DevOps and Testing slides at DASA ConnectKari Kakkonen
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GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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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/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
3. Qlik Sense for Beginners - Mark O'Donovan
2
Contents
Part 1. - Teach Me Qlik Sense 7
Chapter 1. - Tell me something about Qlik Sense 7
Who is this book aimed at 7
How to use this book 9
Examples in this book 10
About the Author 12
An overview of this book 14
Chapter 2. - Getting Started 17
Overview 17
Tell me something about Qlik Sense 18
Installation overview 20
Qlik Sense Installation 22
Summary 24
Chapter 3. - My First Qlik Sense App 25
Overview 25
Import Data into Qlik Sense 26
Data Load Editor (DLE) 36
Inline Tables 40
Basic concepts 47
Summary 51
Part 2. - Creating Qlik Sense Apps 52
Overview 52
4. Qlik Sense for Beginners - Mark O'Donovan
Read Data into Qlik Sense 53
Table Files - Excel Example 56
Text files 58
Inner Join 61
Part 3. - Manage Data 64
Overview 64
Manage data loaded into Qlik Sense 65
ODBC Connection to an Access database 78
Add some expressions 85
Read less data 89
Useful Script Functions 95
Folder connections 101
Part 4. - Charts and Tables 103
Overview 103
Tables 105
More Table Details 113
Bar chart 121
Line Chart 185
Pie Chart 133
Chart Expressions 136
Chart Groups 143
Change Charts 146
Part 5. - Development Tips 147
Overview 147
QlikView to Qlik Sense Migration 148
Memory stick development 151
3
5. Qlik Sense for Beginners - Mark O'Donovan
App icons 153
User Interface Design 155
Scripts and Debug 163
Subroutines 166
Loadscript tips 168
Bookmarks 170
Binary Statement 172
Export data to Excel 173
Part 6. - Advanced Topics 174
Overview 174
Storytelling 175
Chapter 1. - Advanced Sheet Objects 183
Overview 183
Line chart 185
Combo charts 190
Gauges 192
Scatter plot 194
Treemap 197
Url Links 202
Managing the Qlik Sense Data Model 204
Calendar Tables 222
Chapter 2. - Advanced Functions 229
Overview 229
Preceding Loads 232
File Functions 234
Class 237
4
6. Qlik Sense for Beginners - Mark O'Donovan
Aggr - Advanced Aggregation 240
Interval Match 244
Date Functions 248
Variables 250
Sql stored procedures 254
Dual Function 256
Set Analysis 261
Selection and Count functions 274
Web files 277
QVD - Qlik Sense Data 280
Qlik Sense Extensions 306
Part 7. - Further 310
What next ? 310
Thank You 311
Useful Websites 312
5
7. Qlik Sense for Beginners - Mark O'Donovan
6
Copyright Page
All rights reserved.
No part of this publication may be reproduced or transmitted in any form or by any means without written
permission from the author.
Disclaimer
Although the author and publisher have made every effort to ensure that the information in this book was
correct at press time, the author and publisher do not assume and hereby disclaim any liability to any party for
any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from
negligence, accident, or any other cause.
Information sold in this book is sold without warranty, either expressed or implied.
Title: Qlik Sense For Beginners
Version: 1.0
8. Qlik Sense for Beginners - Mark O'Donovan
7
Part 1.
Teach Me Qlik Sense
Chapter 1.
Tell me something about Qlik Sense
Who is this book aimed at
Anyone who currently uses a spreadsheet, text file or database to save information and
thinks it might be useful to analyse this information.
This could be the everyday person who wants to track their personal finances or how
they are progressing in their exerciseweight loss program.
This could be the IT user who wants to explore sql backup data, web server logs or sql
server reporting services (SSRS) logs.
This could be the finance person who wants to use Qlik Sense to explore Revenue
Information or Invoice Details.
Some reasons to use Qlik Sense after you learn the basics from this book and tried
some examples:
● It makes it easier to explore data and make decisions.
● It is helping you with your goals in life such as budgeting.
● You are using it at work whether in IT, Finance or another department.
● You might find that it helps you save you money.
● You see it more and more in job advertisements and feel it is something you
should learn.
9. Qlik Sense for Beginners - Mark O'Donovan
The main reason to use Qlik Sense is that you think it is a useful tool.
Why learn Qlik Sense and NOT QlikView
QlikView is a great product and you might be wondering why you should learn Qlik
Sense.
Here are a few reasons why I think it is worth spending your time learning Qlik Sense:
● You like some of the features such as Story Telling that are in Qlik Sense but
8
not in QlikView.
● You find the responsive design of Qlik Sense that rearranges objects such as
tablescharts depending on the
size of the screen very useful.
● You are a IT freelancercontractor and want to stay ahead of the game and be
prepared for any opportunities
that come when companies need someone with Qlik Sense experience to help
migrate their QlikView applications.
● At some point it the future Qlik will drop support for QlikView so it is best to
be prepared.
Qlik Sense is aimed more at a self-service style of business intelligence where users
are encouraged to create their own charts tables where they do not already exist.
Whereas QlikView which is described as ‘guided analytics’ generally involved more
input from IT to make changes when used within a work environment.
QlikView users had the ability to create their own charts and tables but in my
experience most do not do more than creating a listbox.
10. Qlik Sense for Beginners - Mark O'Donovan
9
How to use this book
I think the best way to use this book is to work your way through the chapters in
order, then you can start creating your own Qlik Sense apps with more confidence.
If you have used QlikView before you might be familiar with the scripts used in the
data load editor (loadscripts in QlikView).
In this case you might be tempted to skip parts of chapters but this might just cause
more confusion later on if your apps don’t resemble the screenshots in the book.
The completed applications with be included with the sample data.
These completed apps are useful to see what you will achieve through using this book
and later to compare against your own apps.
The sample data and completed apps are FREE to download whether or not you have
purchased the book.
11. Qlik Sense for Beginners - Mark O'Donovan
10
Examples in this book
You can download all the sample data for this book from :
http://www.techstuffy.com/downloads
The sample data will be in a zip file containing all the data used for the examples
within the book as well as solutions to the examples.
Example Apps
Throughout the book there will referenced to the ‘completed app’ in the sample data,
these apps are to help you if you get stuck with the examples.
Also some apps are referred to as ‘starting app’ , these apps are just to provide a
starting point for the example.
The data sources for these apps were loaded from the folder:
C:QLIK SENSE SAMPLE DATAdata sources
If you are using these apps and your data sources (such as excel and text files) are in a
different location you will need to update the connection in the data load editor.
To edit the connection go the Data Load Editor (DLE) and click the pencil icon for the
‘data sources’ folder and change the folder path, move the cursor to the folder name
and click save.
12. Qlik Sense for Beginners - Mark O'Donovan
You will learn more about the Data Load Editor as you work your way through the
book.
11
Using Example Apps
To add the solutions to your hub copy the qvf files to the following folder:
C:Users<your username>DocumentsQlikSenseApps
The press F5 to refresh the hub and the application should appear.
You will learn more about moving apps between computers within the book.
13. Qlik Sense for Beginners - Mark O'Donovan
12
About the Author
Mark O’Donovan
Mark O'Donovan has been working within the IT industry for over 18 years within IT
support and developer roles.
For over 6 years Mark has been focused on Sql Server development and business
intelligence applications such as Microsoft BI and QlikView.
Mark is currently working as a QlikView developer in London and also managing the
website www.techstuffy.com.
websites
To keep uptodate with QlikViewQlik Sense by subscribing to one of the following
sites:
http://www.techstuffy.com
http://twitter.com/practicalqlik
http://youtube.com/practicalqlik
Other publications
Practical QlikView
Learn QlikView Development with lots of Practical Examples.
14. Qlik Sense for Beginners - Mark O'Donovan
13
Practical QlikView on Amazon
Practical QlikView 2 - Beyond Basic QlikView
More advanced QlikView development techniques
Practical QlikView 2 - Beyond Basic QlikView on Amazon
Practical Sql
Learn Sql Server Development from the basics to more advanced concepts.
Practical Sql on Amazon
For more information on the books search for these titles on Amazon.
15. Qlik Sense for Beginners - Mark O'Donovan
14
An overview of this book
This book is split into various parts.
The aim of this book is to guide you from being a qlik sense beginner to someone who
is ready to tackle some of the more advanced features of qlik sense development.
Next we will give you an overview of what topics will be covered in the main parts of
this book:
Teach Me Qlik Sense
We start by explaining what Qlik Sense is and how to download and install the Qlik
Sense Desktop software.
Next we cover how to create your first qlik sense app. Finally we cover some basic
concepts and how to start using the Qlik Sense Desktop.
Creating Qlik Sense Apps
In this chapter we will describe:
● The types of files you can read data from into your Qlik Sense app.
● Demonstrate example apps using Excel and Text files.
● How you can filter the data in your data model using inner joins.
Manage Data
In this chapter of the book we will focus on the data that is being brought into your
Qlik Sense app.
We will cover:
● Reading data from ODBC and OLE DB connections.
● Managing the data such as creating links between 2 tables or reading less data
using the WHERE clause.
16. Qlik Sense for Beginners - Mark O'Donovan
● Creating expressions to calculate fields and also some useful expressions to
know when loading data into your app.
● Some useful functions such as concat and count.
● Using Folder connections to create shortcuts to your data source folder contains
15
files such as Excel and text files.
Charts and Tables
In this part of the book we will be covering :
● Bar chart
● Line chart
● Pie chart
● Tables
● Chart Expression and Groups
Development Tips
In this part we will introduce some tips to help with your Qlik Sense development
including:
● How to migrate documents from QlikView to Qlik Sense.
● How to work on apps located in other folders rather than the default Apps
folder.
● How to change the app image displayed on the desktop hub
● Finally we will cover some useful design tips when creating your Qlik Sense
apps.
Advanced Topics
In this final part we will cover some of the more advanced topics such as
17. Qlik Sense for Beginners - Mark O'Donovan
● Advanced sheet objects including gauges, scatter plot and treemap.
16
● Managing the data model.
● Calendar tables.
● Advanced functions including class, aggr, intervalmatch and dual.
● Using Sql stored procedures.
● Set analysis.
● QVDs to store data read from data sources and incremental loads.
● An introduction to qlik sense extensions.
18. Qlik Sense for Beginners - Mark O'Donovan
17
Chapter 2.
Getting Started
Overview
In this chapter we will cover:
● An introduction to QlikTech the developers of Qlik Sense.
● How to download and install QlikSense.
19. Qlik Sense for Beginners - Mark O'Donovan
Tell me something about Qlik Sense
18
What is this book about?
This book is a practical introduction to Qlik Sense.
First we will look at the basic concepts used in Qlik Sense so you can start using the
software quickly,
then we will explore different examples where Qlik Sense might be used.
If you have used QlikView before you will be familiar with the scripting techniques
used to bring data into the App.
Finally we will discuss how you can take this new knowledge further.
Who developed Qlik Sense
● Qlik Sense was developed by a Swedish company called QlikTech.
● QlikTech was founded in 1993.
● QlikTech has over 24,000 customers including Cisco, King, McAfee and
many more.
● QlikTech has over 1000 Employees.
● Qlik Tech also developed a product call QlikView.
The working title of Qlik Sense was Qlik.Next because it is seen as the next
generation of QlikView.
20. Qlik Sense for Beginners - Mark O'Donovan
If you have never heard of QlikView, QlikTech or Qlik Sense before then hopefully
the points above should satisfy you that QlikTech is by no means a small company.
Next we will look at getting the software and installing it on your computer.
19
21. Qlik Sense for Beginners - Mark O'Donovan
20
Installation overview
What version of Qlik Sense is used in this book?
This book uses Qlik Sense Desktop version 0.96
The Qlik Sense Desktop download is 120MB.
What are the system requirements for Qlik Sense?
Below is a table of system requirements for Qlik Sense installation:
Operating
System
Windows 7,8,8.1
Memory 4GB+
Disk space 300MB+ , all features require 500MB
Minimum
Browser :
Windows 7
IE 10, Chrome 24, Firefox 18
Minimum
Browser :
Windows 8 (not
tablets)
IE 10, Chrome 24
Screen
Resolution
(minimum)
1024x768
Where can I get the software and how much does it cost?
It’s Free!
22. Qlik Sense for Beginners - Mark O'Donovan
21
Go to :
http://www.qlik.com/us/explore/products/sense/desktop
Fill in the form and click on the ‘Download Now’ button to download the software.
The software will automatically download.
23. Qlik Sense for Beginners - Mark O'Donovan
22
Qlik Sense Installation
Next we will install the Qlik Sense Desktop.
The Qlik Sense Desktop is the application that will be used for the development and
viewing of your qlik sense apps.
1. Double click on the downloaded file Qlik_Sense_Desktop_setup.exe and click the
run button:
2. Click on the install option, accept the license agreement and click next.
3. Click Install.
24. Qlik Sense for Beginners - Mark O'Donovan
4. When the installation has completed click the Finish button.
5. Now click on the desktop icon to start Qlik Sense:
23
25. Qlik Sense for Beginners - Mark O'Donovan
24
Summary
In this chapter we covered the system requirements for Qlik Sense and you have
downloaded Qlik Sense Desktop and installed the application.
In the next chapter you will start using Qlik Sense and create your first application,
importing the data into Qlik Sense and creating a chart from the data.
26. Qlik Sense for Beginners - Mark O'Donovan
Chapter 3.
My First Qlik Sense App
25
Overview
In this chapter we are going to perform the following tasks:
● Import Excel data into a Qlik Sense App.
● Create a chart from the imported data.
● Display the data in a table.
● Create a table of calendar month names within the QlikView document so that
there is a link between the imported data and this new table created within
QlikView.
● Update the Chart and Table to display the month names.
27. Qlik Sense for Beginners - Mark O'Donovan
Import Data into Qlik Sense
1. Open the Qlik Sense Desktop by clicking the desktop shortcut or menu option.
2. You will be presented with a welcome message.
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3. Click on the 'Create a new app' option.
4. Enter a name of 'My first app' and click create.
5. Click on the Open app button and the application will be opened.
6. Drag and drop the 'random-data-excel.xls' file with the sample data onto the app.
The following screen should appear:
28. Qlik Sense for Beginners - Mark O'Donovan
27
7. Click on the 'Load data' button.
29. Qlik Sense for Beginners - Mark O'Donovan
8. Click on the 'Edit the sheet' button to begin creating your first sheet.
Next we will create a simple bar chart and listbox based on the loaded data.
28
Sheet overview
The sheet in edit mode is split into various parts as shown:
30. Qlik Sense for Beginners - Mark O'Donovan
29
Left pane - library pane
This has 3 main options shown in the last screenshot.
● Charts option - which is selected - From here you can drag objects to the
sheet.
● Fields - Which shows all the available fields from the data model.
● Master Items - These show Dimensions , Measures and Vizualizations which
have been setup to make the creation of objects such as chart easier.
Middle pane - sheet
31. Qlik Sense for Beginners - Mark O'Donovan
The middle is the main design pane for creating and arranging your sheet objects.
30
Right pane - properties
The right side is the properties pane and defaults to the sheet properties.
If you require more space for the design pane click on the following icon in either the
bottom leftright corner of the screen to hide the leftright pane.
Create the sheet objects
1. Drag and drop the 'Bar chart' icon the the middle part of the sheet.
32. Qlik Sense for Beginners - Mark O'Donovan
2. Click on the add dimension button and select the month field.
31
Dimensions
Dimensions determine how the data will be grouped in the chart (the X axis).
Measures
The measure will determine what value is plotted on the y-axis of the chart.
3. Click on the add measure button. Select the total field and then select the sum(total)
aggregation.
4. Drag the 'Filter pane' option to the sheet.
5. Click the 'add dimension' option and select month.
6. Click done to view your first sheet.
33. Qlik Sense for Beginners - Mark O'Donovan
32
7. Click the save button.
8. Now if you select a MONTH value from the MONTH filter pane the chart will be
updated to only display the selected months.
Bar selection options
If you select one of the Months from the bar chart you will be presented with the
following options.
The tick and cross are used to confirm or cancel the selection.
The dash line box with the cross is to clear the selection.
The first button on the left is to ‘Turn on the lasso selection’, this allows you to draw a
shape around the bars you wish to select:
34. Qlik Sense for Beginners - Mark O'Donovan
You can also select bars using the x and y axes by selecting and holding the mouse
down on one of the axes and dragging the mouse to select some bars as shown:
33
35. Qlik Sense for Beginners - Mark O'Donovan
34
Filter selection options
‘Select possible’ will select all the possible options ie: those that are still white.
‘Select excluded’ will select all the options that are dark gray.
‘Select alternative’, alternative values are those that where possible before the current
selection was made,
For example if we select the month Sep:
Here the alternative values are Jan,Aug and Nov.
36. Qlik Sense for Beginners - Mark O'Donovan
Whereas Feb,Mar and Apr have been excluded.
So choosing the option ‘select alternative’ will select Jan,Aug and Nov and unselect
Sep.
35
Completed App:
My first qlik sense appMy first app-completed.qvf
37. Qlik Sense for Beginners - Mark O'Donovan
36
Data Load Editor (DLE)
In this book the Data Load Editor is often abbreviated to DLE.
Whereas the Data Model Viewer is abbreviated to DMV.
Just like when you editing a sheet the DLE is split into 3 main panes.
Left pane:Sections
The left pane is used to divide your loadscript into sections (In QlikView this was
called tabs).
You just click on the + symbol at the top of the pane to add a new section.
Middle pane: The loadscript
The middle pane contains the script for the currently selected section.
Each new document contains SET statements to create variables that contain standard
values such as the MonthNames or DayNames for the system settings.
As you can probably tell from the MoneyFormat and DateFormat below the
screenshot is a computer setup with the UK regional settings.
38. Qlik Sense for Beginners - Mark O'Donovan
Right pane:Create and Manage Connections
The right pane allows you create connections to data sources such as Acccess Sql
databases using ODBC or OLEDB connections.
You also have the ability to select the data you wish to read into your app.
37
Bottom of screen:
output button
The output button at the bottom of the screen allows you to view the output of the last
‘load data’ command.
Top right:
Debug and Load data
The Load data button is to run the current script and load data into your app.
The scripts are run from top to bottom in the order of the sections in the left pane.
The debug button is to the left of the load data button.
Click on the debug button to make Variables and Breakpoint buttons appear at the
bottom of the screen next to the Output button.
39. Qlik Sense for Beginners - Mark O'Donovan
38
Variables
You can create a simple variable by adding the line of code:
LET mytestvar =1;
If you click on the ‘load data’ button the variable mytestvar will appear in the ‘User
defined variables’ and ‘All Variables sections.
You can use the Variables dropdown menu to show certain variables : All, System,
Reserved or User Defined.
You can click on the star next to the variable name to add it to your favourites
variables which is useful if you have many variables in your app.
Breakpoints
Breakpoints allow you to stop the loading of the script at a certain point, for example
if you want to check the values of certain variables.
You can click to the right of a line of code in the same column as the row numbers to
add a breakpoint as shown:
40. Qlik Sense for Beginners - Mark O'Donovan
Finally if you put a tick in the ‘limited load’ tickbox you can enter the number of lines
you wish to read.
For example if we ticked the limited load and entered a value of 3 and click the play
button we would see the following output.
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Calendar << INL1E36
Lines fetched: 3
years_to_display
Lines fetched: 2
09:46:47
Sheet1$
Lines fetched: 3
This shows us that no more that 3 lines of each source where read.
New tab option - in the DLE
In the DLE you can open various commands in a new tab like you might in a web
browser.
You do this by selecting the navigation button and then instead of clicking on the
words ‘App Overview’ you click on the icon of 2 windows on the far right of the
menu to open the option in a new tab.