This document discusses Internet of Things (IoT) and big data. It provides an overview of key concepts in IoT such as the growing number of connected devices, drivers in the IoT ecosystem including enterprises and users, and examples of IoT applications from Bosch Group. It also discusses how big data and evolving data models are driving new requirements for databases including scalability, flexibility, support for analytics, and providing a unified view of data. The document promotes an upcoming webinar series on IoT and big data.
IoT Meets Big Data: The Opportunities and Challenges by Syed Hoda of ParStreamgogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
IoT Meets Big Data: The Opportunities and Challenges as presented at the IoT Inc Business' Eighth Meetup. See: http://www.iot-inc.com/iot-meets-big-data-the-opportunities-and-challenges/
In our eighth Meetup we have Syed Hoda, Chief Marketing Officer of ParStream presenting “IoT Meets Big Data: The Opportunities and Challenges”. Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
Presentation Abstract
The Internet of Things (IoT) and Big Data have each made press headlines and continue to be board-level priorities. The intersection of IoT and Big Data is a fascinating area of innovation with tremendous scope for business impact. From industrial sensors to vehicles to health monitors, a huge variety of devices connects to the Internet and share information. At the same time, the cost to store data has dropped dramatically while capabilities for analysis have made huge leaps forward. How can analytics drive business benefits from IoT projects? What are the challenges in storing and analyzing huge amounts of real-world information? How can companies generate more value from their data? We will address these questions and also share our perspectives on innovative technologies enabling new IoT use cases.
Proof of concepts and use cases with IoT technologiesHeikki Ailisto
Set of proof of concept and use cases with internet of things technologies are presented with one sliders. In each case, the IoT challenge, result, benefits and use case example are given.
The impact of emerging IoT Technology and BigData. This is the slide presentation I did at the http://globalbigdatabootcamp.com/speakers/sanjay-sabnis/
State of the market for IoT/IIoT and the cloud: What are the emerging opportunities for using interconnected devices and the cloud to provide enterprises with operational efficiencies and more effective mobility?
Here's how big data and the Internet of Things work together: a vast network of sensors (IoT) collect a boatload of information (big data) that is then used to improve services and products in various industries, which in turn generate revenue.
IoT Meets Big Data: The Opportunities and Challenges by Syed Hoda of ParStreamgogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
IoT Meets Big Data: The Opportunities and Challenges as presented at the IoT Inc Business' Eighth Meetup. See: http://www.iot-inc.com/iot-meets-big-data-the-opportunities-and-challenges/
In our eighth Meetup we have Syed Hoda, Chief Marketing Officer of ParStream presenting “IoT Meets Big Data: The Opportunities and Challenges”. Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
Presentation Abstract
The Internet of Things (IoT) and Big Data have each made press headlines and continue to be board-level priorities. The intersection of IoT and Big Data is a fascinating area of innovation with tremendous scope for business impact. From industrial sensors to vehicles to health monitors, a huge variety of devices connects to the Internet and share information. At the same time, the cost to store data has dropped dramatically while capabilities for analysis have made huge leaps forward. How can analytics drive business benefits from IoT projects? What are the challenges in storing and analyzing huge amounts of real-world information? How can companies generate more value from their data? We will address these questions and also share our perspectives on innovative technologies enabling new IoT use cases.
Proof of concepts and use cases with IoT technologiesHeikki Ailisto
Set of proof of concept and use cases with internet of things technologies are presented with one sliders. In each case, the IoT challenge, result, benefits and use case example are given.
The impact of emerging IoT Technology and BigData. This is the slide presentation I did at the http://globalbigdatabootcamp.com/speakers/sanjay-sabnis/
State of the market for IoT/IIoT and the cloud: What are the emerging opportunities for using interconnected devices and the cloud to provide enterprises with operational efficiencies and more effective mobility?
Here's how big data and the Internet of Things work together: a vast network of sensors (IoT) collect a boatload of information (big data) that is then used to improve services and products in various industries, which in turn generate revenue.
How Artificial Intelligence Will Kickstart the Internet of Thnigs Ahmed Banafa
The possibilities that IoT brings to the table are endless.
IoT continues its run as one of the most popular technology buzzwords of the year, and now the new phase of IoT is pushing everyone to ask hard questions about the data collected by all devices and sensors of IoT.
The competitive landscape of the Internet of ThingsIoTAnalytics
The competitive landscape of IoT
Competitive forces and companies shaping the Internet of Things
Vienna Global IoT Day, 9 April 2015
Knud Lasse Lueth, Founder of IoT Analytics
Agenda:
Introduction
Part 1: How IoT changes competitive forces
Part 2: The companies and technologies making IoT happen
Conclusion
1. The value of the Internet of Things lies beyond the connectivity – It comes with smart analytics and ecosystem-enablement
2. Entire industry forces are changing due to IoT. Some industries may experience higher profits. Companies need to be aware of potential lock-out.
3. The “new” IoT infrastructure is being created now – Hardware including sensors and processors, communication, software, and application.
4. The top IoT companies in terms of “share-of-voice” currently are: Intel, Microsoft, Cisco, Google, IBM
5. US startup funding in the IoT area is much larger than German or Austrian IoT investment activity
For some, Hadoop is synonymous with “Big Data,” but Hadoop is just one component of a successful Big Data architecture. Depending on one’s application, it may not even be the most important part.
NoSQL solutions like MongoDB also play a dominant role for storage and real-time data processing, helping companies keep pace with the scale of their data requirements. But NoSQL figures even more prominently in helping enterprises consume a wide variety of data sources at speeds not currently possible in Hadoop. NoSQL, then, offers a useful complement to Hadoop, as well as the transaction-based data of traditional RDBMSs.
Tackling Big Data is not a one-tool job, and so the orchestration of the appropriate NoSQL database with Hadoop and RDBMS is essential. In this session, we’ll dig deep into the different types of NoSQL, identifying how they differ and the types of Big Data workloads for which they’re best suited. We’ll also explore the trade-offs one makes in choosing NoSQL databases like MongoDB or Neo4j over an RDBMS like MySQL, and when it makes sense to use both Hadoop and NoSQL and when it’s more appropriate to use NoSQL on its own.
Internet of Things (IoT) and Artificial Intelligence (AI) can be described as the communication services with connections of things to things and things to humans.
Check more info: http://bit.ly/2yZe0lC
Call Us: +91-9741117750
At WomenWhoCode, 2019 https://india.womenwhocode.dev/agenda/
Edge Computing: What, Why, How and Where
Edge Analytics: What, Why, benefits, limitations
Edge computing vs Edge Analytics
Edge Analytics use-cases
IoT ( M2M) - Big Data - Analytics: Emulation and DemonstrationCHAKER ALLAOUI
Study and simulation of the systems modern IoT with examples of connected objects such as: GPS(GLOBAL POSITIONING SYSTEM), Philips Hue, Thermometer, and connected cars implemented with the technology nodeJS and Node-Red with the communication protocol of M2M ( MQTT).
As well as an analytical study based on Elasticsearch, MongoDB, Apache Hadoop, Apache Hive and Jaspersoft.
Managing your Assets with Big Data ToolsMachinePulse
This presentation was given by Karthigai Muthu, Lead Big Data Analyst, at a meetup organized by the group Internet of Everything in March 2015.
Through his presentation, Karthik provided a comprehensive understanding of available ecosystem tools and how they can be used to perform data engineering and data analytics. Karthik covers the following topics in his presentation:
• Establishment of complete data pipeline using big data ecosystem tools.
• Tackling of high velocity streams using various stream processing engines on cloud and performing Real Time analytics.
• Tackling of historical data using big data ecosystem tools and migration of traditional infrastructure to big data environments.
• Integration of big data ecosystem for data analysis using SAMOA , R and Mahout.
• Deployments of big data environments on the cloud.
Smart Industry 4.0: IBM Watson IoT in de praktijkIoT Academy
Tijdens de tweede IoT meetup van 2017 gaf Ronald Teijken inzicht hoe bedrijven slimmer complexe beslissingen kan nemen dankzij het Watson IoT Platform van IBM. Sensoren, Data, Analytics, Cognitive zijn enkele onderwerpen die hierbij aan bod kwamen.
Talk on Industrial Internet of Things @ Intelligent systems tech forum 2014Ahmed Mahmoud
The Industrial Internet can be thought of as Intelligent Industrial Systems. A subset of Intelligent Systems per IDC’s taxonomy, these systems have extremely high value not just in terms of product and process optimizations, efficiency and cost savings but in the enablement of new business models such as mass customization in manufacturing. This session will focus on the state of Industrial Internet today, the efforts underway to make the Industrial Internet a reality, leading companies, technologies and products in the space, efforts at standardization, case studies of the Industrial Internet in action, and opportunities in the space.
Internet of Things: Connected Devices Enabling Energy ManagementEnercare Inc.
Enercare’s 3rd annual Thought Leadership event series, Energy Management: What’s New and What’s Next, explores energy conservation opportunities, the latest technologies and regulations shaping the multi-residential and commercial building management space.
Energy Management is taking center stage in discussions and investments on and around consumption, sustainability, zero net energy buildings, costs and GHG emissions. These very important conversations are taking place among all stakeholders, from the single household owner to the enterprise executive who is guiding governance and investments around their energy strategy as part of the corporate and public commitment. Understanding where things are today, industry insights, what the trends are and the role of smart technology like Internet of Things megatrend, sensors, cloud based computing, analytics and fault detection are important pieces that will be discussed as part of this presentation.
Presented by: Demitrius Marshall, VP, Technology & Professional Services, RYCOM
The Internet of Things is transforming the way we work and live. IoT technologies are enabling enterprises to create new business models, transform customer engagements and catapult entire industries forward. Technologies like cognitive computing, IoT Platforms, blockchain and Digital Twin are rapidly reinventing how businesses are driving industry transformation. This session explores how businesses across the world are taking advantage of the ever-more-connected world to drive smarter and more profitable business. Watch the replay on IoT Practitioner. https://iotpractitioner.com/iot-slam-live-2017-headline-keynote-chris-oconnor/
Interplay of Big Data and IoT - StampedeCon 2016StampedeCon
Big Data and IoT are changing the world. The big question is how Big Data and IoT are related? This presentation explores the synergy of Big Data and IoT. We will anatomize Big Data and IoT separately, in terms of what, which, why, where, when, who, how and how much. We then analyze the relationship between IoT and Big Data, specifically the drilldown of how the 4Vs of Big Data (Volume, Variety, Velocity and Value) intersect with the 4Cs of IoT (Connectivity, Collection, Context and Cognition). We will dive deep to the matrix chart of the 1-to-1 mapping of individual aspects. Case studies and best practices will be discussed to further dissect the interlock in real-world business solutions.
Short introduction to Big Data Analytics, the Internet of Things, and their s...Andrei Khurshudov
Invited talk at the 26th ASME annual conference on information and storage and processing systems (ISPS 2017) held at Hilton San Francisco District, San Francisco, California, USA from August 29–30, 2017.
Computer science is faced with many challenges as the digital universe expands. From mobile and cloud computing to data security, addressing these issues can require large, structural changes, but an examination of these problems can lead to organizational solutions and improvements in the world.
HPE Presentation on Internet of Things at IoT World 2016 - DubaiAlpha Data
IoT World 2016 is a conference bringing together industry experts to analyse the opportunities, challenges and help enterprise leap into a new set of challenging technologies. HPE was the Strategic Technology Partner and Alpha Data was the event Partner.
How Artificial Intelligence Will Kickstart the Internet of Thnigs Ahmed Banafa
The possibilities that IoT brings to the table are endless.
IoT continues its run as one of the most popular technology buzzwords of the year, and now the new phase of IoT is pushing everyone to ask hard questions about the data collected by all devices and sensors of IoT.
The competitive landscape of the Internet of ThingsIoTAnalytics
The competitive landscape of IoT
Competitive forces and companies shaping the Internet of Things
Vienna Global IoT Day, 9 April 2015
Knud Lasse Lueth, Founder of IoT Analytics
Agenda:
Introduction
Part 1: How IoT changes competitive forces
Part 2: The companies and technologies making IoT happen
Conclusion
1. The value of the Internet of Things lies beyond the connectivity – It comes with smart analytics and ecosystem-enablement
2. Entire industry forces are changing due to IoT. Some industries may experience higher profits. Companies need to be aware of potential lock-out.
3. The “new” IoT infrastructure is being created now – Hardware including sensors and processors, communication, software, and application.
4. The top IoT companies in terms of “share-of-voice” currently are: Intel, Microsoft, Cisco, Google, IBM
5. US startup funding in the IoT area is much larger than German or Austrian IoT investment activity
For some, Hadoop is synonymous with “Big Data,” but Hadoop is just one component of a successful Big Data architecture. Depending on one’s application, it may not even be the most important part.
NoSQL solutions like MongoDB also play a dominant role for storage and real-time data processing, helping companies keep pace with the scale of their data requirements. But NoSQL figures even more prominently in helping enterprises consume a wide variety of data sources at speeds not currently possible in Hadoop. NoSQL, then, offers a useful complement to Hadoop, as well as the transaction-based data of traditional RDBMSs.
Tackling Big Data is not a one-tool job, and so the orchestration of the appropriate NoSQL database with Hadoop and RDBMS is essential. In this session, we’ll dig deep into the different types of NoSQL, identifying how they differ and the types of Big Data workloads for which they’re best suited. We’ll also explore the trade-offs one makes in choosing NoSQL databases like MongoDB or Neo4j over an RDBMS like MySQL, and when it makes sense to use both Hadoop and NoSQL and when it’s more appropriate to use NoSQL on its own.
Internet of Things (IoT) and Artificial Intelligence (AI) can be described as the communication services with connections of things to things and things to humans.
Check more info: http://bit.ly/2yZe0lC
Call Us: +91-9741117750
At WomenWhoCode, 2019 https://india.womenwhocode.dev/agenda/
Edge Computing: What, Why, How and Where
Edge Analytics: What, Why, benefits, limitations
Edge computing vs Edge Analytics
Edge Analytics use-cases
IoT ( M2M) - Big Data - Analytics: Emulation and DemonstrationCHAKER ALLAOUI
Study and simulation of the systems modern IoT with examples of connected objects such as: GPS(GLOBAL POSITIONING SYSTEM), Philips Hue, Thermometer, and connected cars implemented with the technology nodeJS and Node-Red with the communication protocol of M2M ( MQTT).
As well as an analytical study based on Elasticsearch, MongoDB, Apache Hadoop, Apache Hive and Jaspersoft.
Managing your Assets with Big Data ToolsMachinePulse
This presentation was given by Karthigai Muthu, Lead Big Data Analyst, at a meetup organized by the group Internet of Everything in March 2015.
Through his presentation, Karthik provided a comprehensive understanding of available ecosystem tools and how they can be used to perform data engineering and data analytics. Karthik covers the following topics in his presentation:
• Establishment of complete data pipeline using big data ecosystem tools.
• Tackling of high velocity streams using various stream processing engines on cloud and performing Real Time analytics.
• Tackling of historical data using big data ecosystem tools and migration of traditional infrastructure to big data environments.
• Integration of big data ecosystem for data analysis using SAMOA , R and Mahout.
• Deployments of big data environments on the cloud.
Smart Industry 4.0: IBM Watson IoT in de praktijkIoT Academy
Tijdens de tweede IoT meetup van 2017 gaf Ronald Teijken inzicht hoe bedrijven slimmer complexe beslissingen kan nemen dankzij het Watson IoT Platform van IBM. Sensoren, Data, Analytics, Cognitive zijn enkele onderwerpen die hierbij aan bod kwamen.
Talk on Industrial Internet of Things @ Intelligent systems tech forum 2014Ahmed Mahmoud
The Industrial Internet can be thought of as Intelligent Industrial Systems. A subset of Intelligent Systems per IDC’s taxonomy, these systems have extremely high value not just in terms of product and process optimizations, efficiency and cost savings but in the enablement of new business models such as mass customization in manufacturing. This session will focus on the state of Industrial Internet today, the efforts underway to make the Industrial Internet a reality, leading companies, technologies and products in the space, efforts at standardization, case studies of the Industrial Internet in action, and opportunities in the space.
Internet of Things: Connected Devices Enabling Energy ManagementEnercare Inc.
Enercare’s 3rd annual Thought Leadership event series, Energy Management: What’s New and What’s Next, explores energy conservation opportunities, the latest technologies and regulations shaping the multi-residential and commercial building management space.
Energy Management is taking center stage in discussions and investments on and around consumption, sustainability, zero net energy buildings, costs and GHG emissions. These very important conversations are taking place among all stakeholders, from the single household owner to the enterprise executive who is guiding governance and investments around their energy strategy as part of the corporate and public commitment. Understanding where things are today, industry insights, what the trends are and the role of smart technology like Internet of Things megatrend, sensors, cloud based computing, analytics and fault detection are important pieces that will be discussed as part of this presentation.
Presented by: Demitrius Marshall, VP, Technology & Professional Services, RYCOM
The Internet of Things is transforming the way we work and live. IoT technologies are enabling enterprises to create new business models, transform customer engagements and catapult entire industries forward. Technologies like cognitive computing, IoT Platforms, blockchain and Digital Twin are rapidly reinventing how businesses are driving industry transformation. This session explores how businesses across the world are taking advantage of the ever-more-connected world to drive smarter and more profitable business. Watch the replay on IoT Practitioner. https://iotpractitioner.com/iot-slam-live-2017-headline-keynote-chris-oconnor/
Interplay of Big Data and IoT - StampedeCon 2016StampedeCon
Big Data and IoT are changing the world. The big question is how Big Data and IoT are related? This presentation explores the synergy of Big Data and IoT. We will anatomize Big Data and IoT separately, in terms of what, which, why, where, when, who, how and how much. We then analyze the relationship between IoT and Big Data, specifically the drilldown of how the 4Vs of Big Data (Volume, Variety, Velocity and Value) intersect with the 4Cs of IoT (Connectivity, Collection, Context and Cognition). We will dive deep to the matrix chart of the 1-to-1 mapping of individual aspects. Case studies and best practices will be discussed to further dissect the interlock in real-world business solutions.
Short introduction to Big Data Analytics, the Internet of Things, and their s...Andrei Khurshudov
Invited talk at the 26th ASME annual conference on information and storage and processing systems (ISPS 2017) held at Hilton San Francisco District, San Francisco, California, USA from August 29–30, 2017.
Computer science is faced with many challenges as the digital universe expands. From mobile and cloud computing to data security, addressing these issues can require large, structural changes, but an examination of these problems can lead to organizational solutions and improvements in the world.
HPE Presentation on Internet of Things at IoT World 2016 - DubaiAlpha Data
IoT World 2016 is a conference bringing together industry experts to analyse the opportunities, challenges and help enterprise leap into a new set of challenging technologies. HPE was the Strategic Technology Partner and Alpha Data was the event Partner.
MongoDB IoT CITY Tour EINDHOVEN: Machina ResearchMongoDB
Emil Berthelsen, Principal Analyst at Machina Research, discusses the market landscape for M2M and IoT, and the impact of these market developments on database requirements.
Building a reliable and scalable IoT platform with MongoDB and HiveMQDominik Obermaier
Today’s Internet of Things (IoT) is enabling companies to blend together the physical and digital worlds, creating new business models and generating insights that increase productivity at once unimaginable levels. However, managing the ever growing volume of heterogeneous IoT data from disparate devices, systems and applications both on premise and in the cloud can be a challenging endeavour without a scalable and reliable IoT platform.
In this webinar, we will explore why and how companies are leveraging HiveMQ and MongoDB to build exactly that: a scalable and reliable IoT platform. Based upon a sample fleet management scenario, we will explain how telematics data can be routed via MQTT and efficiently stored to provide analytics and insights into the data.
Key Learnings
- Common challenges and pitfalls of IoT projects
- Required components for effectively handling data with an IoT platform
- HiveMQ for MQTT to enable bi-directional device communication over unstable networks
- MongoDB as the flexible and scalable modern data platform combining data from different sources and powering your applications
- Why MongoDB and HiveMQ is such a great combination
IoT how it works, IoT Perspectives, IoT technologies, IoT architecture, IoT protocols, IoT applications, sensor as service model, IoT data flow, IoT functional view, IoT analogy, IoT taxanomy of research
IoT design considerations
Gartner Top 10 Strategy Technology Trends 2018Den Reymer
Gartner Top 10 Strategy Technology Trends 2018
1. AI Foundation
2. Intelligent Apps and Analytics
3. Intelligent Things
4. Digital Twin
5. Cloud to the Edge
6. Conversational Platforms
7. Immersive Experience
8. Blockchain
9. Event Driven Model
10. Continuous Adaptive Risk and Trust
MongoDB IoT CITY Tour LONDON: How M2M and IoT are changing the playing field ...MongoDB
Presented by, Emil Berthelsen, Principal Analyst at Machina Research.
Emil discusses the market landscape for M2M and IoT, and the impact of these market developments on database requirements.
MongoDB IoT CITY Tour STUTTGART: The IoT Market Landscape, Machina ResearchMongoDB
Presented by, Emil Berthelsen, Principal Analyst at Machina Research.
Emil discusses the market landscape for M2M and IoT, and the impact of these market developments on database requirements.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Similar to Internet of Things and Big Data: Vision and Concrete Use Cases (20)
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Common components of an IoT solution
The challenges involved with managing time-series data in IoT applications
Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance.
How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts
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Il n’a jamais été aussi facile de commander en ligne et de se faire livrer en moins de 48h très souvent gratuitement. Cette simplicité d’usage cache un marché complexe de plus de 8000 milliards de $.
La data est bien connu du monde de la Supply Chain (itinéraires, informations sur les marchandises, douanes,…), mais la valeur de ces données opérationnelles reste peu exploitée. En alliant expertise métier et Data Science, Upply redéfinit les fondamentaux de la Supply Chain en proposant à chacun des acteurs de surmonter la volatilité et l’inefficacité du marché.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
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.
Knowledge engineering: from people to machines and back
Internet of Things and Big Data: Vision and Concrete Use Cases
1. IoT and Big Data
Internet of Things and Big Data
Part I / III: Vision and Concrete Use Cases
2. IoT and Big Data
Joint Webinar Series:
Register to Reserve your Seat
Webinar 1: Vision & Use Cases
Webinar 2: Data Management Requirements for the IoT
Webinar 3: From Concept to Code
3. IoT and Big Data
Today’s Speakers
Dirk Slama, Director of Business Development
Bosch Software Innovations
20+ years of experience in large-scale distributed application
projects including M2M and IoT projects
Emil Berthelsen, Principal Analyst
Machina Research
Two decades of experience with management, strategic and research
consulting in business process management, telecoms and IT and more
recently focused on M2M, IoT and Big Data
Mat Keep, Product Management & Marketing
MongoDB
15 years working in high scale, data driven systems, working with
relational databases before moving into NoSQL and Big Data
platforms
4. IoT and Big Data
"Fixed" computing Mobility/BYOD Internet of things Internet of everything
Source: Cisco IBSG, 2013
(you go to the device) (the device goes with you) (age of devices) (people, process, data, things)
1995 2000 2013 2020
200M
10B
50B
Rapid growth of connected things
5. IoT and Big Data
IoT Predictions (by 2020-22)
7,1tn IoT Solutions Revenue | IDC
Some Big Numbers:
1,9tn IoT Economic Value Add | Gartner
309bn IoT Supplier Revenue | Gartner
50bn Connected Devices | Cisco
14bn Connected Devices | Bosch SI
Some small numbers:
http://postscapes.com/internet-of-things-market-size
Peter Middleton, Gartner:
“By 2020, component
costs will have come
down to the point that
connectivity will become a
standard feature, even for
processors costing less
than
$1
“
6. IoT and Big Data
Networked
heating systems
Networked
surveillance systems
Connected
vehicles
Smart sensor
platforms
Network
capability of
devices
Low power
consumption
Small form
factor
Energy
harvesting
capability
Wireless
technologies
Applications
Appropriate
cost
Enablers
IP is a key driver of innovation
7. IoT and Big Data
Bosch Group – Example Products
8. IoT and Big Data
THING IT
[HW | SW]
THING-BASED
FUNCTION
[Local | Business
models known]
IT-BASED
SERVICE
[Global | Business
models required]
IoT Formula for Success
Example SERVICE: Send ambulance
in case of accident (detected by sensors)
Example FUNCTION:
Drive from A to B
A B
Source: University of St. Gallen, Prof. Dr. Elgar Fleisch
9. IoT and Big Data
Key Drivers in the IoT Ecosystem
Enterprises
Process efficiency
End-to-end processes
STP
Real-time decisions
Big Data
Partners
Value chain optimization
Real-time integration
Flexible supply chains
Mobile tracking &
monitoring
Users
Mobile revolution
Social & business networks
Personalized services
Location based services
Things
Ubiquitous comms: GSM, WiFi,
BlueTooth, ZigBee, NFC, RFID
HW: Cost , performance
Software: Embedded Linux,
embedded Java, …
Smart devices, sensors,
actuators
10. IoT and Big Data
Vehicle
Equipped with telematics unit
Sensors to monitor moving parts,
hydraulics liquids, etc
Partners
Service provider
Repair specialist and vehicle
manufacturers
Vehicle Driver
On-board diagnostics
Information about other vehicles,
e.g. to unload harvest
Vehicle Operations
Intelligent monitoring of machine
KPIs and fluid analysis
Optimum servicing intervals
Example: Remote Condition Monitoring
12. IoT and Big DataTensHundredsThousandsMillionsBillionsConnections
Internet of Things
Machine-to-Machine
Isolated
(autonomous, disconnected)
Monitored
Smart Systems
(Intelligence in Subnets of Things )
Telemetry
and
Telematics
Smart Homes
Connected Cars
Intelligent Buildings
Intelligent Transport
Systems
Smart Meters and Grids
Smart Retailing
Smart Enterprise
Management
Remotely controlled
and managed
Building
automation
Manufacturing
Security
Utilities
Internet of Things
Sensors
Devices
Systems
Things
Processes
People
Industries
Products
Services
Growth in connections generates
an unparalleled scale of data
Source: Machina Research 2014
13. IoT and Big Data
A new mindset and technology is
required for IoT
A changing approach to
databases in the Internet of
Things
14. IoT and Big Data
New requirements in enabling technologies
Devices
Connectivity
Platforms
Internet of
Things
Connected things,
products, services,
systems, etc.
Security
Networks
Apps &
Analytics
Databases
Source:
Machina Research 2014
15. IoT and Big Data
Data
Big data
Changing data
models
Real-time
Processing
Aggregation
Internet of Things
Large estates of
devices
Evolving applications
All forms of data
Data streaming and
processing
Pre-IoT (M2M)
Limited estate of
devices
Single purpose
applications
Structured / Semi-
structured
Data transfers
(sensors and
actuators)
Evolution from M2M to IoT and Big Data
Source: Machina Research 2014
16. IoT and Big Data
Data
Big data
Changing data
models
Real-time
processing
Aggregation
Databases will need to address new requirements
Scalability
Flexibility
Analytics
Unified View
Source: Machina Research 2014
17. IoT and Big Data
Scalability
Heterogeneity
Agility & Flexibility
in
Applications, Devices
and Connectivity
Scalability
Flexibility
Analytics
Unified View
in
Data
M2M & IoT Application
Platforms
Data Databases
SQL
(Oracle, IBM, etc.)
for structured data
Hybrid
(SAP Hana, VoltDB, etc.)
for speed and heterogeneity
NoSQL
(MongoDB, Cassandra, etc.)
for agility and heterogeneity
IoT-Platforms and Database-Systems
Source: Machina Research 2014
18. IoT and Big Data
IoT Foundation: Bosch Suite for IoT
A
D
C
B
Scale
Flexibility
Analytics
Unified View
21. IoT and Big Data
Use Case 1: Retail & Logistics
22. IoT and Big Data
Use Case 2: Handheld Power Tools
23. IoT and Big Data
Use Case 3: Field Data Capturing
Project SCFD
Structured Capturing of
Field Data
Components: Car brakes,
power steering, etc.
Usage patterns:
temperature, voltage, etc.
Predictive maintenance,
product optimization
Why MongoDB:
Constantly evolving system,
from a data capturing and a
data analytics point of view
Large amount of streaming
data
Asset
Management
Stream
Processing
Big Data
Management
Analytics
BRM BRM
24. IoT and Big Data
Capabilities
Solutions
Key Capabilities of MongoDB
Bosch SI IoT Suite
M2M | BPM | BRM | Big Data
A
D
C
B
Scale
Flexibility
Analytics
Unified View
25. IoT and Big Data
Register Now for Webinar 2
Key Data Management Capabilities
for IoT
Kannst du die Abbildung neu erstellen und Cisco als Quelle nennen?
Drucksensor BMP085 von Bosch Sensortec setzt Maßstäbe bei Packungsdichte, Ruhestrom und Auflösung
Der neue digitale MEMS Drucksensor BMP085 von Bosch Sensortec (5 x 5 x 1,2 Millimeter) unterstützt unter anderem den Trend, Navigationsfunktionen in Mobiltelefone zu integrieren. Mit seiner sehr feinen Höhenauflösung von bis zu 25 Zentimetern ermöglicht er eine sinnvolle Unterstützung bei einem fehlenden GPS Signal. Über die ROHS-Konformität hinaus ist der Sensor auch frei von Halogenen.
UNIMAT Heating Boiler UT-M
The UT-M boiler series, as flame-tube smoke-tube boilers, built in accordance with the Pressure Vessels Directive, is used to produce high-pressure hot water cheaply in the mid-temperature range up to 190°C.
http://www.bosch.com/en/com/innovation/insidebosch/powertrains_of_tomorrow/challenges_posed_by_the_electric_powertrain/challenges_posed_by_the_electric_powertrain.html
Challenges posed by the electric powertrain
Powerful batteries, the latest power electronics: the electric drive presents engineers with many new challenges.
Within the Internet of Things, many if not all objects of our daily life will become „smart“. What does this mean?
According to Prof. Elgar Fleisch from University of St. Gallen, „Smart Things“ are defined by the combination of „Things“ with IT Hardware and Software. This allows for two kinds of functions: first the original „primary“, „thing-based“ functions. Those are usually local functions, with known business models. A car drives you from A to B, a phone lets you make phone calls, a watch gives you the time, your glasses allow you to see.
New is the second area: by adding IT based services via the IoT, many new additional „secondary“ functions become possible. They are in many cases not limited to the local physical device, and come often in combination with new business models.
Examples: a car in an emergency may call the red cross service. Its sensor data may be used to warn other cars behind you about foggy or icy road stretchs. Floating position data from cars and phones may be used to get information about traffic congestions. Your watch will allow for remote monitoring of your health and give you an early warning before a stroke. And so on.
Those are just a few example of new functions, that become possible with the Internet of Things – new chances to make lifes better, and certainly also significant new business opportunities for companies to create new customer offerings based on the combination of smart things and web-based services.
MongoDB provides agility, scalability, and performance without sacrificing the functionality of relational databases, like full index support and rich queriesIndexes: secondary, compound, text search, geospatial, and more