Augmented reality has several applications in an Industry 4.0 environment including design checking, spatial layout planning, step-by-step assembly guidance, advanced documentation, and inspection. AR allows virtual 3D objects to be overlaid on real products, reducing the need for physical prototypes. It can provide interactive, intuitive guidance for tasks. Location-based AR enables inspection and maintenance by visualizing system data directly in a user's field of view. Current developments integrate 3D tracking, stereoscopic visualization, and gesture control for more advanced AR applications in industries.
Prof. Dr. Holger Hütte von der Hochschule Weserbergland (HSW) aus Hameln informierte in einem Kurzvortrag über Chancen und Risiken für den Mittelstand zum Thema Industrie 4.0. Anhand von Beispielen aus der Praxis verdeutlichte er die neuen Spielregeln in Markt und Gesellschaft.
L'interesse e la passione nei riguardi del mondo delle PMI ha accompagnato gran parte del mio percorso accademico e da questo ne è scaturita la volontà di indagare, teoricamente ed empiricamente, gli effetti del rapporto banca-impresa sulla disponibilità e costo del credito.
Lo studio approfondito di tale argomento, trova riscontro pratico con l'attuale posizione lavorativa ricoperta.
Di fatto, il contatto diretto e giornaliero con le vere protagoniste dell'economia italiana, mi ha permesso di scoprire i punti di forza e di debolezza delle PMI senesi appartenenti al settore terziario e da ciò ne emerge la necessità di agire in maniera concreta sul vero "Tallone d'Achille" della crescita e sviluppo delle stesse ovvero l'accesso al credito bancario.
This document discusses augmented reality (AR) technologies that can help small and medium enterprises (SMEs) adopt Industry 4.0 capabilities. It introduces enabling AR technologies like markers, displays, mobile devices and cloud computing. It presents case studies of companies using AR for applications like equipment training, maintenance and production monitoring. The document concludes that AR has high potential to help SMEs add value through supporting processes, though many are hesitant to invest in new technologies currently. Case studies provided may help SMEs understand how to leverage AR in their business under Industry 4.0 visions.
THE IMPACT OF DIGITALIZATION ON THE MANUFACTURING INDUSTRY - TECH MAHINDRATech Mahindra
This IDC Spotlight paper emphasizes how continuous improvement methodologies, empowered by instrumentation, machine learning, and distributed intelligence, will help manufacturing companies become flexible, context-aware digital businesses.
The Influence of Artificial Intelligence on E-Governance and Cybersecurity in...Shakas Technologies
The Influence of Artificial Intelligence on E-Governance and Cybersecurity in Smart Cities A Stakeholder’s Perspective.
Shakas Technologies ( Galaxy of Knowledge)
#11/A 2nd East Main Road,
Gandhi Nagar,
Vellore - 632006.
Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723
Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust|IEEE projects | Research & Development | Journal Publication |
Email : info@shakastech.com | shakastech@gmail.com |
website: www.shakastech.com
Facebook: https://www.facebook.com/pages/Shakas-Technologies
Augmented reality has several applications in an Industry 4.0 environment including design checking, spatial layout planning, step-by-step assembly guidance, advanced documentation, and inspection. AR allows virtual 3D objects to be overlaid on real products, reducing the need for physical prototypes. It can provide interactive, intuitive guidance for tasks. Location-based AR enables inspection and maintenance by visualizing system data directly in a user's field of view. Current developments integrate 3D tracking, stereoscopic visualization, and gesture control for more advanced AR applications in industries.
Prof. Dr. Holger Hütte von der Hochschule Weserbergland (HSW) aus Hameln informierte in einem Kurzvortrag über Chancen und Risiken für den Mittelstand zum Thema Industrie 4.0. Anhand von Beispielen aus der Praxis verdeutlichte er die neuen Spielregeln in Markt und Gesellschaft.
L'interesse e la passione nei riguardi del mondo delle PMI ha accompagnato gran parte del mio percorso accademico e da questo ne è scaturita la volontà di indagare, teoricamente ed empiricamente, gli effetti del rapporto banca-impresa sulla disponibilità e costo del credito.
Lo studio approfondito di tale argomento, trova riscontro pratico con l'attuale posizione lavorativa ricoperta.
Di fatto, il contatto diretto e giornaliero con le vere protagoniste dell'economia italiana, mi ha permesso di scoprire i punti di forza e di debolezza delle PMI senesi appartenenti al settore terziario e da ciò ne emerge la necessità di agire in maniera concreta sul vero "Tallone d'Achille" della crescita e sviluppo delle stesse ovvero l'accesso al credito bancario.
This document discusses augmented reality (AR) technologies that can help small and medium enterprises (SMEs) adopt Industry 4.0 capabilities. It introduces enabling AR technologies like markers, displays, mobile devices and cloud computing. It presents case studies of companies using AR for applications like equipment training, maintenance and production monitoring. The document concludes that AR has high potential to help SMEs add value through supporting processes, though many are hesitant to invest in new technologies currently. Case studies provided may help SMEs understand how to leverage AR in their business under Industry 4.0 visions.
THE IMPACT OF DIGITALIZATION ON THE MANUFACTURING INDUSTRY - TECH MAHINDRATech Mahindra
This IDC Spotlight paper emphasizes how continuous improvement methodologies, empowered by instrumentation, machine learning, and distributed intelligence, will help manufacturing companies become flexible, context-aware digital businesses.
The Influence of Artificial Intelligence on E-Governance and Cybersecurity in...Shakas Technologies
The Influence of Artificial Intelligence on E-Governance and Cybersecurity in Smart Cities A Stakeholder’s Perspective.
Shakas Technologies ( Galaxy of Knowledge)
#11/A 2nd East Main Road,
Gandhi Nagar,
Vellore - 632006.
Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723
Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust|IEEE projects | Research & Development | Journal Publication |
Email : info@shakastech.com | shakastech@gmail.com |
website: www.shakastech.com
Facebook: https://www.facebook.com/pages/Shakas-Technologies
Research in Internet of Things' Operating Systems (IoT OS's)Salahuddin ElKazak
This technical report explores research in operating systems for the Internet of Things (IoT OSs). It first defines IoT and operating systems, explaining their relationship. It then surveys the field of IoT OSs, comparing different systems and their specialized uses. The report argues that the growth of IoT has reignited research in OSs. It concludes that while IoT offers opportunities, current IoT OSs still require further research to ensure the safe and efficient development of the IoT.
Next IIoT wave: embedded digital twin for manufacturing IRS srl
Next IIoT wave will be a population of digital twin. A digital twin is a real-time digital replica of a physical device. Developing an embedded digital twin allows superior device diagnostic and failure anticipation. Discover how to to implement an embedded digital twin using real-time monitoring, physical models, and machine learning
Presentazione Tesi di Laurea Triennale - L'utilizzo di tecnologia Blockchain a supporto della sicurezza di dati critici generati in ambito Internet of Things
The document discusses the four industrial revolutions: Industry 1.0 focused on mechanization, Industry 2.0 added electrical power, Industry 3.0 brought digital technology, and Industry 4.0 integrates cyber-physical systems using IoT, cloud, and cognitive computing. Industry 4.0 enables technologies like augmented reality, big data analytics, autonomous robots, additive manufacturing, simulation, system integration, and cybersecurity. It aims for interconnected smart factories through technologies that enable interoperability, transparency, assistance, and decentralized decision making.
Industry 4.0 refers to the current trend of automation and data exchange in manufacturing technologies like cyber-physical systems, the internet of things, cloud computing, and cognitive computing. It involves cyber-physical systems monitoring physical processes and creating virtual copies of the physical world. In the future, businesses will establish global networks incorporating machinery, warehousing, and production facilities as cyber-physical systems that can autonomously exchange information and control each other. Industry 4.0 is expected to fundamentally improve industrial processes involved in manufacturing, engineering, materials usage, and supply chain management.
Industry 4.0 takes automation to a new level with customized and flexible mass production technologies. It involves machines operating independently by collecting and analyzing data to advise themselves. Key building blocks include autonomous robots, simulation, integration of horizontal and vertical systems, industrial internet of things, cyber security, additive manufacturing, augmented reality, and big data analytics. ERP systems play a role in Industry 4.0 by reducing manufacturing lead times, enabling real-time data processing and decision making, reducing data processing times through IoT and cloud, and integrating communication between raw materials and equipment as well as the whole value chain with customers and suppliers.
19. Evoluzione dei paradigmi di interazione (I)Roberto Polillo
Slides dalle lezioni del corso di Interazione Uomo Macchina per il corso di laurea in Informatica - Università di Milano Bicocca (prof.R.Polillo) - lezione del 15 maggio 2014
Le plan de numérisation du Ministère de la Culture (1996-2003) Jpsd consultant
Le contexte scientifique, technologique et politique au moment du lancement du plan de numérisation.
Son organisation, ses moyens et ses résultats de 1996 à 2003
Bibliographie
Exposé présenté lors de la journée d'étude FrabriNum du 25 mars 2015,
Maison des Sciences Humaines, Angers
http://alma.hypotheses.org/1517
Next generation Manufacturing - winning through technology and innovationFelipe Sotelo A.
The Indian manufacturing sector has grown steadily over the long term at an annual rate of 13%, but there remains significant untapped potential to increase its contribution to GDP and employment. While historical growth has been strong, recent manufacturing performance has been below par, with output declining in 7 of the past 11 months. The slowdown in capital goods has been particularly concerning. However, the government has introduced several initiatives through programs like "Make in India" to promote manufacturing growth by improving infrastructure, easing business regulations, and reforming labor laws.
Università Di Salerno Presentazione Tesi Gaetano Costaguest777bcf
Presentazione della Tesi di Laurea in Informatica "Editoria Online e Nuovi Media: un'Esperienza Lavorativa sull'Utilizzo delle Tecnologie Web 2.0" a cura di Gaetano Costa
IOT is going to be very big and the fitness, health club and gym industry are no exception. To lead the adoption of IOT requires thoughtful strategy and a clear road map for implementation.
Keynote at Advantech's AI+Smart Manufacturing event. Shared the AI trend in smart manufacturing as well as a demo regarding how to use Azure Cognitive Services to empower employees and customers.
Methods and Challenges for Metaverse Analytics.pdfSafaa Alnabulsi
Which existing methods and analytical approaches can be applied to quantitatively study metaverse?
Which challenges are associated with the quantitative investigation of metaverse and the application of those methods?
Digital Transformation in the Manufacturing sectorArun Natarajan
Traditionally, manufacturers have been slow to adopt digital transformation, despite the sector holding great potential for digital outcomes. However, digital transformation is gaining momentum in the manufacturing sector, as seen with companies like GE aggressively pursuing digital opportunities. Digital transformation offers manufacturers possibilities to reimagine business models, recast value chains, enhance customer engagement, digitally enhance products, and optimize operations. These possibilities extend to the factory floor with Industry 4.0 initiatives. If exploited fully, digital transformation could disrupt and transform the industrial landscape.
The document discusses the key components of Industry 4.0, which aims to create a new phase of value chain organization through advanced manufacturing technologies. The three main components are horizontal integration between corporations, vertical integration of factory subsystems, and end-to-end digital integration across the product lifecycle. Horizontal integration allows information and materials to flow between cooperating corporations, while vertical integration creates flexible manufacturing systems through integration of sensors, controls and other subsystems. End-to-end engineering integration digitally connects all stages from design to recycling to enable customized product development.
This thesis examines the concepts of co-creation and marketing through a literature review and case study analysis. The literature review finds that while research into co-creation has grown since the 2000s, there are still gaps regarding its impact on business performance and the capabilities required of firms. The case study analyzes initiatives from companies like Spreadshirt and finds that co-creation activities are diversifying and becoming more sophisticated through the use of technology, with trends moving from standard to personalized value and involvement of customer communities. The implications are that firms should embrace multichannel co-creation approaches illustrated by best practices.
UIC POLIMI Master of Science in Computer Science PresentationPier Luca Lanzi
This document summarizes a joint master's program between the University of Illinois at Chicago (UIC) and the Politecnico di Milano. Students take the first three semesters at Politecnico di Milano and the fourth semester at UIC. They complete their thesis defense at both universities. The program provides an opportunity for an American education and expands career opportunities. Courses include data mining, formal methods, and high performance systems. Requirements include English proficiency, GPA, and application deadlines. Tuition is approximately $14,000 for the two semesters at UIC.
Research in Internet of Things' Operating Systems (IoT OS's)Salahuddin ElKazak
This technical report explores research in operating systems for the Internet of Things (IoT OSs). It first defines IoT and operating systems, explaining their relationship. It then surveys the field of IoT OSs, comparing different systems and their specialized uses. The report argues that the growth of IoT has reignited research in OSs. It concludes that while IoT offers opportunities, current IoT OSs still require further research to ensure the safe and efficient development of the IoT.
Next IIoT wave: embedded digital twin for manufacturing IRS srl
Next IIoT wave will be a population of digital twin. A digital twin is a real-time digital replica of a physical device. Developing an embedded digital twin allows superior device diagnostic and failure anticipation. Discover how to to implement an embedded digital twin using real-time monitoring, physical models, and machine learning
Presentazione Tesi di Laurea Triennale - L'utilizzo di tecnologia Blockchain a supporto della sicurezza di dati critici generati in ambito Internet of Things
The document discusses the four industrial revolutions: Industry 1.0 focused on mechanization, Industry 2.0 added electrical power, Industry 3.0 brought digital technology, and Industry 4.0 integrates cyber-physical systems using IoT, cloud, and cognitive computing. Industry 4.0 enables technologies like augmented reality, big data analytics, autonomous robots, additive manufacturing, simulation, system integration, and cybersecurity. It aims for interconnected smart factories through technologies that enable interoperability, transparency, assistance, and decentralized decision making.
Industry 4.0 refers to the current trend of automation and data exchange in manufacturing technologies like cyber-physical systems, the internet of things, cloud computing, and cognitive computing. It involves cyber-physical systems monitoring physical processes and creating virtual copies of the physical world. In the future, businesses will establish global networks incorporating machinery, warehousing, and production facilities as cyber-physical systems that can autonomously exchange information and control each other. Industry 4.0 is expected to fundamentally improve industrial processes involved in manufacturing, engineering, materials usage, and supply chain management.
Industry 4.0 takes automation to a new level with customized and flexible mass production technologies. It involves machines operating independently by collecting and analyzing data to advise themselves. Key building blocks include autonomous robots, simulation, integration of horizontal and vertical systems, industrial internet of things, cyber security, additive manufacturing, augmented reality, and big data analytics. ERP systems play a role in Industry 4.0 by reducing manufacturing lead times, enabling real-time data processing and decision making, reducing data processing times through IoT and cloud, and integrating communication between raw materials and equipment as well as the whole value chain with customers and suppliers.
19. Evoluzione dei paradigmi di interazione (I)Roberto Polillo
Slides dalle lezioni del corso di Interazione Uomo Macchina per il corso di laurea in Informatica - Università di Milano Bicocca (prof.R.Polillo) - lezione del 15 maggio 2014
Le plan de numérisation du Ministère de la Culture (1996-2003) Jpsd consultant
Le contexte scientifique, technologique et politique au moment du lancement du plan de numérisation.
Son organisation, ses moyens et ses résultats de 1996 à 2003
Bibliographie
Exposé présenté lors de la journée d'étude FrabriNum du 25 mars 2015,
Maison des Sciences Humaines, Angers
http://alma.hypotheses.org/1517
Next generation Manufacturing - winning through technology and innovationFelipe Sotelo A.
The Indian manufacturing sector has grown steadily over the long term at an annual rate of 13%, but there remains significant untapped potential to increase its contribution to GDP and employment. While historical growth has been strong, recent manufacturing performance has been below par, with output declining in 7 of the past 11 months. The slowdown in capital goods has been particularly concerning. However, the government has introduced several initiatives through programs like "Make in India" to promote manufacturing growth by improving infrastructure, easing business regulations, and reforming labor laws.
Università Di Salerno Presentazione Tesi Gaetano Costaguest777bcf
Presentazione della Tesi di Laurea in Informatica "Editoria Online e Nuovi Media: un'Esperienza Lavorativa sull'Utilizzo delle Tecnologie Web 2.0" a cura di Gaetano Costa
IOT is going to be very big and the fitness, health club and gym industry are no exception. To lead the adoption of IOT requires thoughtful strategy and a clear road map for implementation.
Keynote at Advantech's AI+Smart Manufacturing event. Shared the AI trend in smart manufacturing as well as a demo regarding how to use Azure Cognitive Services to empower employees and customers.
Methods and Challenges for Metaverse Analytics.pdfSafaa Alnabulsi
Which existing methods and analytical approaches can be applied to quantitatively study metaverse?
Which challenges are associated with the quantitative investigation of metaverse and the application of those methods?
Digital Transformation in the Manufacturing sectorArun Natarajan
Traditionally, manufacturers have been slow to adopt digital transformation, despite the sector holding great potential for digital outcomes. However, digital transformation is gaining momentum in the manufacturing sector, as seen with companies like GE aggressively pursuing digital opportunities. Digital transformation offers manufacturers possibilities to reimagine business models, recast value chains, enhance customer engagement, digitally enhance products, and optimize operations. These possibilities extend to the factory floor with Industry 4.0 initiatives. If exploited fully, digital transformation could disrupt and transform the industrial landscape.
The document discusses the key components of Industry 4.0, which aims to create a new phase of value chain organization through advanced manufacturing technologies. The three main components are horizontal integration between corporations, vertical integration of factory subsystems, and end-to-end digital integration across the product lifecycle. Horizontal integration allows information and materials to flow between cooperating corporations, while vertical integration creates flexible manufacturing systems through integration of sensors, controls and other subsystems. End-to-end engineering integration digitally connects all stages from design to recycling to enable customized product development.
This thesis examines the concepts of co-creation and marketing through a literature review and case study analysis. The literature review finds that while research into co-creation has grown since the 2000s, there are still gaps regarding its impact on business performance and the capabilities required of firms. The case study analyzes initiatives from companies like Spreadshirt and finds that co-creation activities are diversifying and becoming more sophisticated through the use of technology, with trends moving from standard to personalized value and involvement of customer communities. The implications are that firms should embrace multichannel co-creation approaches illustrated by best practices.
UIC POLIMI Master of Science in Computer Science PresentationPier Luca Lanzi
This document summarizes a joint master's program between the University of Illinois at Chicago (UIC) and the Politecnico di Milano. Students take the first three semesters at Politecnico di Milano and the fourth semester at UIC. They complete their thesis defense at both universities. The program provides an opportunity for an American education and expands career opportunities. Courses include data mining, formal methods, and high performance systems. Requirements include English proficiency, GPA, and application deadlines. Tuition is approximately $14,000 for the two semesters at UIC.
Master of Science in Computer Science - Politecnico di Milano and UICPier Luca Lanzi
Brief presentation of the MSc in Computer Science at UIC. This master is a coordinated project between Politecnico di Milano and the University of Illinois at Chicago (UIC) to allow students enrolled in Politecnico’s Laurea Specialistica in Ingegneria Informatica to obtain the degree of Master of Science in Computer Science from UIC while working towards their degree in Italy.
The document provides tips and guidance for excelling at job interviews. It discusses the importance of preparation, research on the company, handling common interview questions, and making a good impression. Specific tips include dressing appropriately, having firm handshakes, maintaining eye contact and a confident voice. The document also outlines questions interviewers may ask about one's background, career goals, education and previous work experience. Overall, it stresses being prepared to clearly discuss one's qualifications and how they align with the job requirements.
This stack of slides describes my view on how to work as a PhD student. The presentation was targeted a Ubiquitous Computing audience, but is fairly generic in nature.
Ricky Ghilarducci is a 29-year-old mechanical engineer seeking a new position. He has 5 years of experience in quality assurance and medical device engineering. He graduated from San Jose State University in 2005 with a BS in mechanical engineering and a minor in mathematics. His work experience includes positions at Abbott Diabetes Care, Calibra Medical, and MAP Pharmaceuticals, where he contributed to product development, manufacturing, and quality processes. He is enthusiastic and brings strong engineering skills, documentation experience, and communication abilities to a potential new role.
The document is an interview presentation by applicant Zhang XXXX from Jiujiang, China. It includes sections about the applicant's educational and professional background, works portfolio, and proposed research plan. The applicant studied art and design at Tongji University and Wuhan University of Technology, and currently teaches digital design at Jiujiang University. Their portfolio includes website and 3D simulation projects. The proposed research plan involves three topics: information interaction design, information design for smart cities, and studying the design research and teaching mode of Kookmin University.
IncQuery Server for Teamwork Cloud - Talk at IW2019Istvan Rath
IncQuery Server provides scalable query evaluation over collaborative model repositories. It uses a hybrid database technology that is 10-100x faster than conventional databases and supports large models and complex queries. IncQuery Server integrates with MagicDraw and Teamwork Cloud to enable version control, access control, and customizable queries for model validation and impact analysis.
Full lifecycle of a microservice: how to
realize a fault-tolerant and reliable
architecture and deliver it as a Docker
container or in a Cloud environment
This document summarizes new features in Apache Spark 2.3, including continuous processing mode for structured streaming, stream-stream joins, running Spark applications on Kubernetes, improved PySpark performance through vectorized UDFs and Pandas integration, and Databricks Delta for reliability and performance in data lakes. The author, an Apache Spark committer and PMC member, provides overviews and code examples of these features.
Continuous integration and continuous delivery (CI/CD) enables an organization to rapidly iterate on software changes while maintaining stability, performance, and security. Many organizations have adopted various tools to follow the best practices around CI/CD to improve developer productivity, code quality, and software delivery. However, following the best practices of CI/CD is still challenging for many big data teams.
This webinar will highlight:
*Key challenges in building a data pipeline for CI/CD.
*Key integration points in a data pipeline's CI/CD cycle.
*How Databricks facilitates iterative development, continuous integration and build.
Apache Spark 2.0 set the architectural foundations of Structure in Spark, Unified high-level APIs, Structured Streaming, and the underlying performant components like Catalyst Optimizer and Tungsten Engine. Since then the Spark community has continued to build new features and fix numerous issues in releases Spark 2.1 and 2.2.
Continuing forward in that spirit, the upcoming release of Apache Spark 2.3 has made similar strides too, introducing new features and resolving over 1300 JIRA issues. In this talk, we want to share with the community some salient aspects of soon to be released Spark 2.3 features:
• Kubernetes Scheduler Backend
• PySpark Performance and Enhancements
• Continuous Structured Streaming Processing
• DataSource v2 APIs
• Structured Streaming v2 APIs
High Performance Enterprise Data Processing with Apache Spark with Sandeep Va...Spark Summit
Data engineering to support reporting and analytics for commercial Lifesciences groups consists of very complex interdependent processing with highly complex business rules (thousands of transformations on hundreds of data sources). We will talk about our experiences in building a very high performance data processing platform powered by Spark that balances the considerations of extreme performance, speed of development, and cost of maintenance. We will touch upon optimizing enterprise grade Spark architecture for data warehousing and data mart type applications, optimizing end to end pipelines for extreme performance, running hundreds of jobs in parallel in Spark, orchestrating across multiple Spark clusters, and some guidelines for high speed platform and application development within enterprises. Key takeaways: – example architecture for complex data warehousing and data mart applications on Spark – architecture to build high performance Spark platforms for enterprises that balance functionality with total cost of ownership – orchestrating multiple elastic Spark clusters while running hundreds of jobs in parallel – business benefits of high performance data engineering, especially for Lifesciences.
Bringing Streaming Data To The Masses: Lowering The “Cost Of Admission” For Y...confluent
(Bob Lehmann, Bayer) Kafka Summit SF 2018
You’ve built your streaming data platform. The early adopters are “all in” and have developed producers, consumers and stream processing apps for a number of use cases. A large percentage of the enterprise, however, has expressed interest but hasn’t made the leap. Why?
In 2014, Bayer Crop Science (formerly Monsanto) adopted a cloud first strategy and started a multi-year transition to the cloud. A Kafka-based cross-datacenter DataHub was created to facilitate this migration and to drive the shift to real-time stream processing. The DataHub has seen strong enterprise adoption and supports a myriad of use cases. Data is ingested from a wide variety of sources and the data can move effortlessly between an on premise datacenter, AWS and Google Cloud. The DataHub has evolved continuously over time to meet the current and anticipated needs of our internal customers. The “cost of admission” for the platform has been lowered dramatically over time via our DataHub Portal and technologies such as Kafka Connect, Kubernetes and Presto. Most operations are now self-service, onboarding of new data sources is relatively painless and stream processing via KSQL and other technologies is being incorporated into the core DataHub platform.
In this talk, Bob Lehmann will describe the origins and evolution of the Enterprise DataHub with an emphasis on steps that were taken to drive user adoption. Bob will also talk about integrations between the DataHub and other key data platforms at Bayer, lessons learned and the future direction for streaming data and stream processing at Bayer.
This document discusses Indix's evolution from its initial Data Platform 1.0 to a new Data Platform 2.0 based on the Lambda Architecture. The Lambda Architecture uses three layers - batch, serving, and speed layers - to process streaming and batch data. This provides robustness, fault tolerance, and the ability to query both real-time and batch processed views. The new system uses technologies like Spark, HBase, and Solr to implement the Lambda Architecture principles.
Incquery Suite Models 2020 Conference by István Ráth, CEO of IncQuery LabsIncQuery Labs
This document discusses how IncQuery Suite can be used to analyze digital threads in model-based systems engineering (MBSE) projects. It provides an overview of IncQuery Suite's features for efficiently extracting and analyzing engineering data across proprietary tools, validating documents and projects, performing graph queries and full-text search, and integrating with various tools. The document also presents two case studies, one involving integrating IncQuery Suite with Airbus's application platform to enable data continuity, and another using IncQuery Suite to provide model checking as a service for SysML models.
This document discusses running MySQL on Kubernetes with Percona Kubernetes Operators. It provides an introduction to cloud native applications and Kubernetes. It then discusses the benefits and challenges of running MySQL on Kubernetes compared to database-as-a-service options. It introduces Percona Kubernetes Operators for MySQL, which help manage and configure MySQL deployments on Kubernetes. Finally, it discusses how to deploy MySQL with the Percona Kubernetes Operators, including prerequisites, connectivity, architecture, high availability, and monitoring.
Day 13 - Creating Data Processing Services | Train the Trainers ProgramFIWARE
This technical session for Local Experts in Data Sharing (LEBDs), this session will explain how to create data processing services that are key to i4Trust.
A Collaborative Data Science Development WorkflowDatabricks
Collaborative data science workflows have several moving parts, and many organizations struggle with developing an efficient and scalable process. Our solution consists of data scientists individually building and testing Kedro pipelines and measuring performance using MLflow tracking. Once a strong solution is created, the candidate pipeline is trained on cloud-agnostic, GPU-enabled containers. If this pipeline is production worthy, the resulting model is served to a production application through MLflow.
Data Engineering Course Syllabus - WeCloudDataWeCloudData
This document provides information about the Programming for Data Engineers course offered by WeCloudData. The course teaches essential programming skills for data engineering such as Scala, Spark, Linux, and Docker over 10 sessions. Students will learn key topics like Scala programming, Spark fundamentals, and how to build data pipelines. They will also complete hands-on projects and get interview preparation support to help find jobs as a data engineer.
Miklos Christine is a solutions architect at Databricks who helps customers build big data platforms using Apache Spark. Databricks is the main contributor to the Apache Spark project. Spark is an open source engine for large-scale data processing that can be used for machine learning. Spark ML provides machine learning algorithms and pipelines to make machine learning scalable and easier to use at an enterprise level. Spark 2.0 includes improvements to Spark ML such as new algorithms and better support for Python.
The structured streaming upgrade to Apache Spark and how enterprises can bene...Impetus Technologies
The adoption of Apache Spark to analyze data in real-time is increasing with its ability to handle sophisticated analytical requirements and a common framework for streaming and batch. However, most organizations are also looking for "true streaming" features like lower latency and the ability to process out-of-order data.
Structured Streaming, a new high-level API, introduced in Apache Spark 2.0 promises these and other enhancements to the Spark approach to streaming data processing.
In this webinar, Anand Venugopal (Product Head) and other technical experts from StreamAnalytix, speak about the promising developments in Apache Spark 2.0 and how organizations can leverage structured streaming to make timely and accurate decisions and stay competitive.
Tokyo Azure Meetup #7 - Introduction to Serverless Architectures with Azure F...Tokyo Azure Meetup
Serverless architecture is the next big shift in computing - completely abstracting the underlying infrastructure and focusing 100% on the business logic.
Today we can create applications directly in our browser and leave the decision how they are hosted and scaled to the cloud provider. Moreover, this approach give us incredible control over the granularity of our applications since most of the time we are dealing with single function at a time.
In this presentation we will cover:
• Introduce Serverless Architectures
• Talk about the advantages of Serverless Architectures
• Discuss in details in event-driven computing
• Cover common Serverless approaches
• See practical applications with Azure Functions
• Compare AWS Lambda and Azure Functions
• Talk about open source alternatives
• Explore the relation between Microservices and Serverless Architectures
Solving Enterprise Data Challenges with Apache ArrowWes McKinney
This document discusses Apache Arrow, an open-source library that enables fast and efficient data interchange and processing. It summarizes the growth of Arrow and its ecosystem, including new features like the Arrow C++ query engine and Arrow Rust DataFusion. It also highlights how enterprises are using Arrow to solve challenges around data interoperability, access speed, query performance, and embeddable analytics. Case studies describe how companies like Microsoft, Google Cloud, Snowflake, and Meta leverage Arrow in their products and platforms. The presenter promotes Voltron Data's enterprise subscription and upcoming conference to support business use of Apache Arrow.
This document discusses cloud-native applications and serverless computing. It begins with an introduction to cloud-native applications and core technologies like containers, orchestrators, and microservices. Examples are then given of how companies like Fujifilm and ASOS have benefited from serverless architectures on Azure. The document concludes with an overview of Azure serverless services like Functions, Event Grid, Cosmos DB, and Logic Apps and a sample serverless application architecture diagram.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
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1. Avoiding CRUD operations lock-in
in NoSQL databases: extension of
the CPIM library
Candidato: Fabio Arcidiacono (799001)
Relatore: Prof.ssa Elisabetta Di Nitto
Correlatore: Ing. Marco Scavuzzo
Scuola di Ingegneria Industriale e dell'Informazione
Corso di Laurea Magistrale in
Ingegneria Informatica
Anno Accademico 2013 - 2014
2. Tesi di Laurea Magistrale – Fabio Arcidiacono
Data management systems
2
Well structured data
Relational model
ACID transactions
Vertical scaling
SQL
RDBMS
Non-structured data
Various data models
BASE properties
Horizontal scaling
Proprietary API
NoSQL
3. Tesi di Laurea Magistrale – Fabio Arcidiacono
NoSQL Common language approaches
3
Meta-model
• Apache MetaModel
• SOS platform
SQLification
• Apache Phoenix
• UnQL
• Native support
ORM
• Kundera
• PlayORM
• Spring-data
• Apache Gora
4. Tesi di Laurea Magistrale – Fabio Arcidiacono
Work objectives
4
Integrate Kundera in the CPIM library
Contribute to the open source project Kundera
Integrate the migration and synchronization system Hegira
Evaluation
5. Tesi di Laurea Magistrale – Fabio Arcidiacono
Work objectives
5
Integrate Kundera in the CPIM library
Contribute to the open source project Kundera
Integrate the migration and synchronization system Hegira
Evaluation
6. Tesi di Laurea Magistrale – Fabio Arcidiacono
Kundera
A JPA 2.1 ORM Library for NoSQL databases
6
ORM operation (through EntityManager interface)
JPQL queries (DELETE and UPDATE)
On-premises databases:
• Cassandra
• HBase
• MongoDB
• Oracle NoSQL
• Redis
• Neo4j
• Couchdb
• Elastic Search
• MySQL
7. Tesi di Laurea Magistrale – Fabio Arcidiacono
Why Kundera
• Open source
• Developed with extensibility as primary goal
• Support to many different NoSQL databases
• Polyglot persistency
• In the field since 2010 with an active community
• Already used in production
7
8. Tesi di Laurea Magistrale – Fabio Arcidiacono
Contributions to Kundera
Two newly developed clients
• Azure Tables1
• GAE Datastore2
Paradigm shift
• Off-premises databases à DaaS solutions
• Bug fix Kundera deploy on PaaS
8
1: https://github.com/deib-polimi/kundera-azure-table
2: https://github.com/deib-polimi/kundera-gae-datastore
9. Tesi di Laurea Magistrale – Fabio Arcidiacono
Developed clients
9
Exploit consistency mechanisms as much
as possible
GAE Datastore
à no Ancestor Path support
Azure Tables
à manage partition key and row key
master
Limited support to consistency
mechanisms but achieve interoperability
GAE Datastore
à no Ancestor Path support
Azure Tables
à fix partition key to table name
migration
10. Tesi di Laurea Magistrale – Fabio Arcidiacono
Work objectives
10
Integrate Kundera in the CPIM library
Contribute to the open source project Kundera
Integrate the migration and synchronization system Hegira
Evaluation
11. Tesi di Laurea Magistrale – Fabio Arcidiacono
CPIM
Abstract application logic from the specific PaaS Provider to overcome the vendor lock-in
11
Many supported services:
• Blob
• NoSQL
• Memcache
• Queue
• Mail
• SQL
12. Tesi di Laurea Magistrale – Fabio Arcidiacono
Original CPIM NoSQL service implementation
12
• Many JPA providers
• Duplicated code
• No complete code portability
• Choice of the NoSQL database strictly bounded to the cloud
provider (e.g. App Engine à Datastore)
• Limited NoSQL databases support
CloudEntityManager
jpa4Azure
SimpleJPA
Google JPA
Azure EntityManager
Azure EntityManagerFactory
AWS EntityManager
AWS EntityManagerFactory
GAE EntityManager
GAE EntityManagerFactory
CloudEntityManagerFactory
13. Tesi di Laurea Magistrale – Fabio Arcidiacono
Kundera integration
• Single persistence provider
• Complete code portability
• NoSQL support inherited by Kundera
• Easier Configuration through standard persistence.xml
13
CloudEntityManager
Kundera
CloudEntityManagerFactory
14. Tesi di Laurea Magistrale – Fabio Arcidiacono
Work objectives
14
Integrate Kundera in the CPIM library
Contribute to the open source project Kundera
Integrate the migration and synchronization system Hegira
Evaluation
15. Tesi di Laurea Magistrale – Fabio Arcidiacono
Data migration
15
• move application to another cloud provider
• move data to a database that better fit requirements
• load balancing, system expansion, failure recovery, costs, etc.
• modern computer systems are expected to be up continuously
• data synchronization between the two involved systems
16. Tesi di Laurea Magistrale – Fabio Arcidiacono
Hegira support
16
• Intercept transparently user operations (DMQ)
• Translate operations to SQL statements
• Send them to the Hegira commit-log
17. Tesi di Laurea Magistrale – Fabio Arcidiacono
Work objectives
17
Integrate Kundera in the CPIM library
Contribute to the open source project Kundera
Integrate the migration and synchronization system Hegira
Evaluation
18. Tesi di Laurea Magistrale – Fabio Arcidiacono
Cloud Serving Benchmark
18
Compare Kundera client w.r.t. the use of low-level API for the same operations
• Development of new adapter for operations through Kundera
• Development of new adapter for operations through the low-level API
Workload
100.000 entities
Transaction
phase
(read)
Load
phase
(write)
Write
operation
report
Read
operation
report
produces
produces
Framework for evaluating the performance of different NoSQL databases
20. Tesi di Laurea Magistrale – Fabio Arcidiacono
Results comparison
20
Azure Tables
Read latency Read throughput Write latency Write throughput
Kundera 42,44 ms 689,67 ops/sec 40,701 ms 707,12 ops/sec
low-level API 36,74 ms 787,22 ops/sec 38,809 ms 758,54 ops/sec
overhead 13,43 % 12,39 % 4,75 % 6,78 %
Google Datastore
Read latency Read throughput Write latency Write throughput
Kundera 139,13 ms 212,74 ops/sec 151,159 ms 194,64 ops/sec
low-level API 132,36 ms 222,5 ops/sec 150,018 ms 198,67 ops/sec
overhead 4,36 % 4,39 % 0,76 % 2,03 %
21. Tesi di Laurea Magistrale – Fabio Arcidiacono
Conclusions
21
Contributions:
● Integration of Kundera in CPIM library
● New Kundera clients to support Google Datastore and Azure Tables
● Hegira integration in the CPIM library
Future work:
● Compare developed client performance with the ones of the other
client developed by Kundera team
22. Tesi di Laurea Magistrale – Fabio Arcidiacono
THANK YOU
42