We did this to solve a business issue and not because of technology... . The business need for and expectations of MI are evolving rapidly as is the value we can deliver. The current technology architecture struggles (and sometimes fails) to deliver the complexity of information required in a timely manner to the dispersed, diverse user community via their channels of choice.
The purpose of business intelligence is to support better business decision making. BI systems provide historical, current, and predictive views of business operations, most often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data.
Data-Ed Online Presents: Data Warehouse StrategiesDATAVERSITY
Integrating data across systems has been a perpetual challenge. Unfortunately, the current technology-focused solutions have not helped IT to improve its dismal project success statistics. Data warehouses, BI implementations, and general analytical efforts achieve the same levels of success as other IT projects – approximately 1/3rd are considered successes when measured against price, schedule, or functionality objectives. The first step is determining the appropriate analysis approach to the data system integration challenge. The second step is understanding the strengths and weaknesses of various approaches. Turns out that proper analysis at this stage makes actual technology selection far more accurate. Only when these are accomplished can proper matching between problem and capabilities be achieved as the third step and true business value be delivered. This webinar will illustrate that good systems development more often depends on at least three data management disciplines in order to provide a solid foundation.
Takeaways:
Data system integration challenge analysis
Understanding of a range of data system-integration technologies including
Problem space (BI, Analytics, Big Data), Data (Warehousing, Vault, Cube) and alternative approaches (Virtualization, Linked Data, Portals, Meta-models)
Understanding foundational data warehousing & BI concepts based on the Data Management Body of Knowledge (DMBOK)
How to utilize data warehousing & BI in support of business strategy
The purpose of business intelligence is to support better business decision making. BI systems provide historical, current, and predictive views of business operations, most often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data.
Data-Ed Online Presents: Data Warehouse StrategiesDATAVERSITY
Integrating data across systems has been a perpetual challenge. Unfortunately, the current technology-focused solutions have not helped IT to improve its dismal project success statistics. Data warehouses, BI implementations, and general analytical efforts achieve the same levels of success as other IT projects – approximately 1/3rd are considered successes when measured against price, schedule, or functionality objectives. The first step is determining the appropriate analysis approach to the data system integration challenge. The second step is understanding the strengths and weaknesses of various approaches. Turns out that proper analysis at this stage makes actual technology selection far more accurate. Only when these are accomplished can proper matching between problem and capabilities be achieved as the third step and true business value be delivered. This webinar will illustrate that good systems development more often depends on at least three data management disciplines in order to provide a solid foundation.
Takeaways:
Data system integration challenge analysis
Understanding of a range of data system-integration technologies including
Problem space (BI, Analytics, Big Data), Data (Warehousing, Vault, Cube) and alternative approaches (Virtualization, Linked Data, Portals, Meta-models)
Understanding foundational data warehousing & BI concepts based on the Data Management Body of Knowledge (DMBOK)
How to utilize data warehousing & BI in support of business strategy
Download at http://DavidHubbard.net/powerpoint - This Introduction to Business Intelligence gives an overview of how Business Intelligence fits into business strategy in general. It does not go into the specific technologies of Business Intelligence. It is meant to be used to explain Business Intelligence to those not already familiar with Business Intelligence.
An Overview of Business Intelligence Technology. Business intelligence (BI) software is a collection of decision support technologies for the enterprise aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. Take a look on Business Intelligence Process and History!
Top SAP Online training institute in HyderabadAadhyaKrishnan
ERP tech is the one of the top & Best SAP Training institute in Hyderabad. We offers best training completely on all SAP Modules Like BPC Embedded, BPC Classic and HANA with Reasonable prices.
Foundation for Success: How Big Data Fits in an Information ArchitectureInside Analysis
BDIA Roundtable
Live Webcast on April 9, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=c84869fcca958d278b210cfca2a023a0
Big Data can offer big value and big challenges, and there are lots of solutions and promises out there. But in order to harness the most insight from Big Data, organizations need to solve pain points with more than triage. Since data challenges continue to permeate the information landscape, businesses would do well to incorporate solutions that fit into the infrastructure and provide a sustainable method for managing and analyzing Big Data.
Register for this Roundtable Webcast to hear veteran Analysts Robin Bloor, Mike Ferguson and Richard Winter as they offer their perspectives on the evolving Big Data industry. They’ll comment on the proposed Big Data Information Architecture, and take questions from the audience. This is the second event of The Bloor Group's Interactive Research Report for 2014 which will focus on illuminating optimal Big Data Information Architectures. The series will include a dozen interviews with today's Big Data visionaries, plus three interactive Webcasts and a detailed findings report.
Visit InsideAnlaysis.com for more information.
Discover how to boost your reporting and navigate Sage 300 faster and easier in this presentation. You can watch the full recording here: http://bit.ly/2qf1awF
Overview of analytics and big data in practiceVivek Murugesan
Intended to give an overview of analytics and big data in practice. With set of industry use cases from different domains. Would be useful for someone who is trying to understand Analytics and Big Data.
Advanced Topics In Business Intelligenceguest1a9ef2
The blurring of the line between decision support systems and operational systems because of real-time warehousing, the use of Enterprise Information Integration (EII), and closed- loop business processes
Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATIONMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Becky Smith
Organisation: Denodo
About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization.
According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner.
Join us to find out more about:
• What data virtualization actually means and how it differs from traditional data integration approaches.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
• The benefits of data virtualization and its most important use cases.
Use cases for Hadoop and Big Data Analytics - InfoSphere BigInsightsGord Sissons
This presentation is from TDWI's event in Boston during the summer of 2014. IBM InfoSphere BigInsights is IBM's enterprise grade Hadoop offering. It combines the best of open-source Hadoop, with advanced capabilities including Big SQL that clients can optionally deploy to get to market faster with a variety of big data and analytic applications.
Extended Data Warehouse - A New Data Architecture for Modern BI with Claudia ...Denodo
This presentation has been extracted from a full webinar organized by Denodo. To learn more click here: http://bit.ly/1FOMD90
Big Data, Internet of Things, Data Lakes, Streaming Analytics, Machine Learning… these are just a few of the buzzwords being thrown around in the world of data management today. They provide us with new sources of data, new forms of analytics, and new ways of storing, managing and utilizing our data. The reality however, is that traditional Data Warehouse architectures are no longer able to handle many of these new technologies and a new data architecture is required.
So what does the new architecture look like? Does the enterprise data warehouse still have a role? Where do these new technologies fit in? How can business users easily and quickly access the various sources of data and analytic results at the right time to make the right decisions in this new world order?
Dr. Claudia Imhoff addresses these questions and presents the Extended Data Warehouse architecture (XDW), demonstrating the need for each component and how an enterprise combines these into appropriate workflows for proper decision support.
BI is the “Gathering of data from multiple sources to present it in a way that allows executives to make better business decisions”. I will describe in more detail exactly what BI is, what encompasses the Microsoft BI stack, why it is so popular, and why a BI career pays so much. I will review specific examples from previous projects of mine that show the benefits of BI and its huge return-on-investment. I'll go into detail on the components of a BI solution, and I will discuss key concepts for successfully implementing BI in your organization.
As a follow-on to the presentation "Building an Effective Data Warehouse Architecture", this presentation will explain exactly what Big Data is and its benefits, including use cases. We will discuss how Hadoop, the cloud and massively parallel processing (MPP) is changing the way data warehouses are being built. We will talk about hybrid architectures that combine on-premise data with data in the cloud as well as relational data and non-relational (unstructured) data. We will look at the benefits of MPP over SMP and how to integrate data from Internet of Things (IoT) devices. You will learn what a modern data warehouse should look like and how the role of a Data Lake and Hadoop fit in. In the end you will have guidance on the best solution for your data warehouse going forward.
During this presentation, Infusion and MongoDB shared their mainframe optimization experiences and best practices. These have been gained from working with a variety of organizations, including a case study from one of the world’s largest banks. MongoDB and Infusion bring a tested approach that provides a new way of modernizing mainframe applications, while keeping pace with the demand for new digital services.
Download at http://DavidHubbard.net/powerpoint - This Introduction to Business Intelligence gives an overview of how Business Intelligence fits into business strategy in general. It does not go into the specific technologies of Business Intelligence. It is meant to be used to explain Business Intelligence to those not already familiar with Business Intelligence.
An Overview of Business Intelligence Technology. Business intelligence (BI) software is a collection of decision support technologies for the enterprise aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. Take a look on Business Intelligence Process and History!
Top SAP Online training institute in HyderabadAadhyaKrishnan
ERP tech is the one of the top & Best SAP Training institute in Hyderabad. We offers best training completely on all SAP Modules Like BPC Embedded, BPC Classic and HANA with Reasonable prices.
Foundation for Success: How Big Data Fits in an Information ArchitectureInside Analysis
BDIA Roundtable
Live Webcast on April 9, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=c84869fcca958d278b210cfca2a023a0
Big Data can offer big value and big challenges, and there are lots of solutions and promises out there. But in order to harness the most insight from Big Data, organizations need to solve pain points with more than triage. Since data challenges continue to permeate the information landscape, businesses would do well to incorporate solutions that fit into the infrastructure and provide a sustainable method for managing and analyzing Big Data.
Register for this Roundtable Webcast to hear veteran Analysts Robin Bloor, Mike Ferguson and Richard Winter as they offer their perspectives on the evolving Big Data industry. They’ll comment on the proposed Big Data Information Architecture, and take questions from the audience. This is the second event of The Bloor Group's Interactive Research Report for 2014 which will focus on illuminating optimal Big Data Information Architectures. The series will include a dozen interviews with today's Big Data visionaries, plus three interactive Webcasts and a detailed findings report.
Visit InsideAnlaysis.com for more information.
Discover how to boost your reporting and navigate Sage 300 faster and easier in this presentation. You can watch the full recording here: http://bit.ly/2qf1awF
Overview of analytics and big data in practiceVivek Murugesan
Intended to give an overview of analytics and big data in practice. With set of industry use cases from different domains. Would be useful for someone who is trying to understand Analytics and Big Data.
Advanced Topics In Business Intelligenceguest1a9ef2
The blurring of the line between decision support systems and operational systems because of real-time warehousing, the use of Enterprise Information Integration (EII), and closed- loop business processes
Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATIONMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Becky Smith
Organisation: Denodo
About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization.
According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner.
Join us to find out more about:
• What data virtualization actually means and how it differs from traditional data integration approaches.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
• The benefits of data virtualization and its most important use cases.
Use cases for Hadoop and Big Data Analytics - InfoSphere BigInsightsGord Sissons
This presentation is from TDWI's event in Boston during the summer of 2014. IBM InfoSphere BigInsights is IBM's enterprise grade Hadoop offering. It combines the best of open-source Hadoop, with advanced capabilities including Big SQL that clients can optionally deploy to get to market faster with a variety of big data and analytic applications.
Extended Data Warehouse - A New Data Architecture for Modern BI with Claudia ...Denodo
This presentation has been extracted from a full webinar organized by Denodo. To learn more click here: http://bit.ly/1FOMD90
Big Data, Internet of Things, Data Lakes, Streaming Analytics, Machine Learning… these are just a few of the buzzwords being thrown around in the world of data management today. They provide us with new sources of data, new forms of analytics, and new ways of storing, managing and utilizing our data. The reality however, is that traditional Data Warehouse architectures are no longer able to handle many of these new technologies and a new data architecture is required.
So what does the new architecture look like? Does the enterprise data warehouse still have a role? Where do these new technologies fit in? How can business users easily and quickly access the various sources of data and analytic results at the right time to make the right decisions in this new world order?
Dr. Claudia Imhoff addresses these questions and presents the Extended Data Warehouse architecture (XDW), demonstrating the need for each component and how an enterprise combines these into appropriate workflows for proper decision support.
BI is the “Gathering of data from multiple sources to present it in a way that allows executives to make better business decisions”. I will describe in more detail exactly what BI is, what encompasses the Microsoft BI stack, why it is so popular, and why a BI career pays so much. I will review specific examples from previous projects of mine that show the benefits of BI and its huge return-on-investment. I'll go into detail on the components of a BI solution, and I will discuss key concepts for successfully implementing BI in your organization.
As a follow-on to the presentation "Building an Effective Data Warehouse Architecture", this presentation will explain exactly what Big Data is and its benefits, including use cases. We will discuss how Hadoop, the cloud and massively parallel processing (MPP) is changing the way data warehouses are being built. We will talk about hybrid architectures that combine on-premise data with data in the cloud as well as relational data and non-relational (unstructured) data. We will look at the benefits of MPP over SMP and how to integrate data from Internet of Things (IoT) devices. You will learn what a modern data warehouse should look like and how the role of a Data Lake and Hadoop fit in. In the end you will have guidance on the best solution for your data warehouse going forward.
During this presentation, Infusion and MongoDB shared their mainframe optimization experiences and best practices. These have been gained from working with a variety of organizations, including a case study from one of the world’s largest banks. MongoDB and Infusion bring a tested approach that provides a new way of modernizing mainframe applications, while keeping pace with the demand for new digital services.
sap hana|sap hana database| Introduction to sap hanaJames L. Lee
SAP HANA, sap hana implementation scenarios, sap hana deployment scenarios, SAP HANA Implementations, sap hana implementation and modeling, sap hana implementation cost, sap hana implementation partners, Applications based on SAP HANA, SAP HANA Databases.
DAMA Webinar: Turn Grand Designs into a Reality with Data VirtualizationDenodo
Watch full webinar here: https://buff.ly/2HMdbUp
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
• What data virtualization really is,
• How it differs from other enterprise data integration technologies
• Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.
Become More Data-driven by Leveraging Your SAP DataDenodo
Watch full webinar here: https://bit.ly/3K2SaCQ
In today’s world, management of data can be a major challenge. For many systems, including SAP, data in real-time and integrating it with other disparate sources has historically been difficult to accomplish. The traditional Data Warehouse approach can also be quite expensive to keep data fresh and control access to meet new and future data protection requirements. Denodo and Gateway Architect’s Meister Core™ offers a high-performance data virtualization solution, designed to fulfill those needs.
Join Denodo, Gateway Architects and W5 Consulting to learn about the value of a logical Data Fabric and delivery platform and its role in this new solution. The webinar will overview the solution including how it provides support for SAP Migrations and sharing of SAP data across geographic boundaries. In addition, you will see how this solution provides the added value of improved agility for supply chain management, and much more. We will also share a demonstration to showcase the benefits of this solution.
Do not miss this opportunity to learn all this as well as how the Joint Denodo/Meister Core solution can:
- Create an agile, real-time, robust data virtualization solution.
- Work with combinations of SAP and Non-SAP data in “Actual” real time scenarios.
- And deliver a true 360 degree view of analytics from multiple systems and seemingly tie that to all your SAP FICO documents 10X faster then previously possible.
Canadian Experts Discuss Modern Data Stacks and Cloud Computing for 5 Years o...Daniel Zivkovic
Two #ModernDataStack talks and one DevOps talk: https://youtu.be/4R--iLnjCmU
1. "From Data-driven Business to Business-driven Data: Hands-on #DataModelling exercise" by Jacob Frackson of Montreal Analytics
2. "Trends in the #DataEngineering Consulting Landscape" by Nadji Bessa of Infostrux Solutions
3. "Building Secure #Serverless Delivery Pipelines on #GCP" by Ugo Udokporo of Google Cloud Canada
We ran out of time for the 4th presenter, so the event will CONTINUE in March... stay tuned! Compliments of #ServerlessTO.
Building an Effective Data Warehouse ArchitectureJames Serra
Why use a data warehouse? What is the best methodology to use when creating a data warehouse? Should I use a normalized or dimensional approach? What is the difference between the Kimball and Inmon methodologies? Does the new Tabular model in SQL Server 2012 change things? What is the difference between a data warehouse and a data mart? Is there hardware that is optimized for a data warehouse? What if I have a ton of data? During this session James will help you to answer these questions.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Is your business intelligence team backlogged with information demands? You're not alone. Business users have an insatiable appetite for information, yet current delivery methods can't keep pace.
Join us for an educational webinar discussing how to meet users' demands for information with your existing business intelligence platform and staff.
During our session, you will learn how to automate business intelligence solution delivery.
Enable Better Decision Making with Power BI Visualizations & Modern Data EstateCCG
Self-service BI empowers users to reach analytic outputs through data visualizations and reporting tools. Solution Architect and Cloud Solution Specialist, James McAuliffe, will be taking you through a journey of Azure's Modern Data Estate.
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Denodo
Watch full webinar here: https://bit.ly/34iCruM
Many organizations are embarking on strategically important journeys to embrace data and analytics. The goal can be to improve internal efficiencies, improve the customer experience, drive new business models and revenue streams, or – in the public sector – provide better services. All of these goals require empowering employees to act on data and analytics and to make data-driven decisions. However, getting data – the right data at the right time – to these employees is a huge challenge and traditional technologies and data architectures are simply not up to this task. This webinar will look at how organizations are using Data Virtualization to quickly and efficiently get data to the people that need it.
Attend this session to learn:
- The challenges organizations face when trying to get data to the business users in a timely manner
- How Data Virtualization can accelerate time-to-value for an organization’s data assets
- Examples of leading companies that used data virtualization to get the right data to the users at the right time
Business intelligence: A tool that could help your businessBeyond Intelligence
Discusse how business intelligence (BI) is a set of theories, methodologies, architectures and technologies that transform raw data into meaningful and useful information for business purposes. Because of its fexibility, it can bring order to the most chaotic environments.Click here to read more.
Similar to High Performance BI with Cognos and ParAccel Analytic Database (20)
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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/
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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
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/
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
2. Agenda
About me
Plan for today:
– Business Intelligence Concepts & Technologies
IBM Cognos Business Intelligence
ParAccel Analytic Database
– Roll out in an Investment Banking division of a global
bank
– Adoption by Client & Sales BI Unit
Reporting execution summary
Report conversion results
Issues discovered & their solutions
Next steps
Credits: Sanjeev Aggarwal, Technology Architect
3. Motto
We did this to solve a business issue and not because
of technology...
The business need for and expectations of MI are evolving
rapidly as is the value we can deliver.
The current technology architecture struggles
(and sometimes fails) to deliver the complexity of
information required in a timely manner to the dispersed,
diverse user community via their channels of choice.
4. Business Intelligence
Good decisions are the building blocks of great business performance.
Understand and improve your business based on:
How are we doing?
Monitoring KPIs with dashboards and scorecards, tracking key metrics.
Why?
Reporting and analysis to get close to your data, gain context,
understand trends, and spot anomalies.
What should we be doing?
Planning, budgets, and forecasts let you set and share a reliable view of
the future.
Business intelligence (BI) is the set of techniques and tools for the
transformation of raw data into meaningful and useful information to get
competitive advantage:
Data → Information → Knowledge → Action
5. Concepts - BI System
Query & reporting
Analysis
Dashboards for on-line and off-line analysis
Scorecards
Planning & budgets
Statistics, predictive modeling & advanced
analytics
Real-time monitoring
Collaboration & social networking
Mobile applications
6. Concepts - DWH System
Real-Time
Massively Parallel Processing
(MPP):
Shared Nothing vs Shared
Everything
Near-linear Scalability
Big Data:
“Big data is like teenage sex:
everyone talks about it,
nobody really knows how to do
it, everyone thinks everyone
else is doing it, so everyone
claims they are doing it…”
–Dan Ariely
MPP OLAP
Database
Typical OLTP
Database
Large volumes of
data (TB to PB)
Smaller volumes of
data (GB to TB)
Low number of
power database
users
High number of
concurrent light
users
Complex analytic
queries
Optimized of single
row access
Low level of data
granularity (Facts)
High use of tuning
structures
Decision support,
and what if
scenarios
Transaction
processing
and data integrity
Bulk data loading
(TB / day is typical)
Low volume data
loading
References: Press, G. (2013, June 03). [Text]. Retrieved from
http://whatsthebigdata.com/2013/06/03/big-data-quotes/
7. BI Platforms
Business Intelligence (BI) and
analytics systems are applications
and technologies for gathering,
storing, analyzing, and accessing
information for better business
decision making to gain
competitive advantage.
What is IBM Cognos BI?
What is ParAccel Analytic Database
(PADB)?
Strong hints:
- on my employer's name
- on why we actually should it PADB
- Data sheet Data sheet of
a new product References: Henschen, D. (2014, February 26). Gartner BI Magic Quadrant: Winners & Losers [Image
file]. Retrieved from http://www.informationweek.com/big-data/big-data-analytics/gartner-bi-magic-
quadrant-winners-and-losers/d/d-id/1114013
8. References: Manoria, V. (2012, May 3). IBM Cognos 10 BI: Components & User Interfaces
[Image files]. Retrieved from https://www.ibm.com/developerworks/community/blogs/ibm-bi-
capabilities/entry/ibm_cognos_10_bi_components_user_interfaces1?lang=en
IBM Cognos BI
9. Actian Analytics Database
Created by ParAccel, and known as ParAccel
Analytic DataBase (PADB), now re-branded
to Actian Analytics Database - Matrix
Parallel processing database management
system designed for high performance
advanced analytics for business
intelligence:
I/O: Columnar & Compressed
CPU: Fully Compiled Queries
Interconnect: MPP Grid Protocol for inter-
node communications.
Core Components
Leader node
Compute node
Interconnect
SAN Integration
Runs on Red Hat or Cent OS! References: Anderson, D. (2012, July 24). Column Oriented Database Technologies [Image files].
Retrieved from http://www.dbbest.com/blog/column-oriented-database-technologies/
10. Adaptive Compression (~4x) and no
performance structures:
Using columnar storage, each block holds
column field values for more records then in
row-based storage. As a result reading the
same number of column fields for the same
number of records requires proportionally
less I/O operations
Blocks hold the same data type, so
compression can can be selected based on
the column type of data stored in a block
(mostly, delta, bytedict, runlength, text)
High-performance MPP optimizer (Omne)
Cost-based, Columnar aware
●
Founded on PostgreSQL Planner/Optimizer
Unlimited Table Join Ability (patented) for
use in complex database schema
referenced by views
View Folding for planning through views,
eliminating unused columns
References: Saama blog (2014, October 20). On Big Data and In-Memory Data Clouds [Image file].
Retrieved from http://www.saama.com/on-big-data-and-in-memory-data-clouds/
Columnar storage vs row-wise database
storage:
Data blocks store column values for
consecutive rows
Data blocks store values for
consecutive rows making up the entire
record
Actian Analytics Database
11. Business Case
Business drivers:
Improved decision making
Reduced data latency
Perform deep, near real time analytics not possible on current platform
Simplified BI infrastructure
(We need to initiate, choose, purchase, engineer & implement the MPP
database)
Landscape before the solution:
MS SQL Server 2008 with aggregate tables & MSAS cubes
A number of front-ends to access data, incl.:
• Dozens of QlikView dashboards
• Hundreds of Cognos BI reports
• Reporting packs not always reconciling to each other due to timing
difference or system issues
• Additional manual processing, or inputs needed to build complex reports
12. Front Office Implementation
PoC was done in 2011 and that PADB
was the best fit for the business use
case, winning with Sybase IQ SMP &
PlexQ.
Implementation happened in Q3
2012 and brought:
- Introduction of MPP Database
technology reduced query times
from minutes to sub seconds
- Reduced data processing from T+1
to near real-time
(within 5 minutes from trade
received to available for reporting)
- Introduction of high performance
analytics
New strategic platform delivered to
bank's clients
References: Slicker city blog (2014, June 24). Rogers' technology adoption curve [Image file]. Retrieved
from http://slickercity.net/tag/information-communication-technology/
13. Adoption by Finance BI
Client & Sales BI function based in Warsaw, Poland
Project Summary: Who is it about? What happens?
When did it take place? Where did it take place?
Why did it happen?
15. Report Conversion Results
Region
Report
Type
(D/W/M)
Original Package
Original Execution Time
(min:sec)
PABD Execution
Time
(min:sec)
Result
EMEA D Aggregated Relational 16:56 05:00 339%
EMEA W Standard Relational 20:00 03:30 571%
US D Aggregated Relational 01:20 00:40 200%
US D Aggregated Relational 01:46 00:32 331%
US M Aggregated Relational 00:17 00:19 89%
US D Aggregated Relational 01:38 00:22 445%
US D Aggregated Relational 04:01 00:52 463%
US M Aggregated Relational 00:25 00:35 71%
US D Aggregated Relational 08:01 00:15 3207%
16. Report Issues & Solutions
Issue Description Solution
Report page containing list does not
run returning error RQP-DEF-0177.
(this is despite an underlying query
returning tabular data with no issues).
Default list header might use ‘Data Item Label’ as
a column source type. After changing the setting
from ‘Data Item Label’ to ‘Text’ the error
disappears.
Rank in not working as expected when
applied in the filters, returning incorrect
sequence.
Set Application to After Auto Aggregation.
When using case when {expression}
then … end the returned else result
expression type is always BLOB.
Report fails to run.
Perform CAST to char or any other desired type in
the case statement definition.
PADB does not handle DATETIME
data type.
Use TRUNC (date) function to return date with no
time portion
17. Adoption Next Steps
Next steps are to:
Deliver additional end-user trainings
Finalize report conversion exercise
Add additional facts and dimensions to PADB
Connect ALL remaining standard MI reports to a single
real-time Cognos data source (PADB Cognos package)
Decommission:
aggregate tables in SQL Server
redundant Cognos packages
Make a better use of off-the-shelf PABD analytic
functions with Cognos
Monitor and optimize...