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Top 10 Most Popular Articles of Big Data. Praveen Kumar. Updated date Jul 08, 2020. 3.2k. 0. 3. This article lists the top 10 most-read articles of the Big Data category. facebook. twitter Stichwort Big Data bekannt gewordenen neuen Möglichkeiten im Umgang mit großen Datenmen-gen gelenkt. Dabei geht es nicht um eine einzelne neue Technologie. Vielmehr bezeichnet Big Data ein Bündel neu entwickelter Methoden und Technologien, die die Erfassung, Speicherung und Ana Der Begriff Big Data bezieht sich auf Datenbestände, die so groß, schnelllebig oder komplex sind, dass sie sich mit herkömmlichen Methoden nicht oder nur schwer verarbeiten lassen. Das Speichern großer Datenmengen oder der Zugriff darauf zu Analysezwecken ist nichts Neues

Big Data und Überwachung in China: In der Höhle der Daten. Mit Big Data möchte Chinas Regierung den Alltag der Bevölkerung verbessern - und sie zugleich überwachen Der aus dem englischen Sprachraum stammende Begriff Big Data bezeichnet Datenmengen, welche beispielsweise zu groß, zu komplex, zu schnelllebig oder zu schwach strukturiert sind, um sie mit manuellen und herkömmlichen Methoden der Datenverarbeitung auszuwerten. Big Data wird häufig als Sammelbegriff für digitale Technologien verwendet, die in technischer Hinsicht für eine neue Ära digitaler Kommunikation und Verarbeitung und in sozialer Hinsicht für einen. Big Data ist der Rohstoff, aus dem Unternehmen neue Dienste und Produkte entwickeln. Der implizite Deal: Das Unternehmen sammelt Daten über seine Kunden und vernetzt sie. Was daraus erwächst,.. Organisation Die Grenzen von Big Data Die Analyse riesiger Zahlenberge gilt derzeit als der Schlüsselfaktor schlechthin. Doch die meisten Unternehmen sind für diese Arbeit noch nicht reif

Top 10 Most Popular Articles of Big Data - C# Corne

Big data's power does not erase the need for vision or human insight. On the contrary, we still must have business leaders who can spot a great opportunity, understand how a market is developing. Big Data und Datenschutz. Big Data - große Datenmengen - gehören zu den erklärten Lieblingsthemen der digitalen Revolution. Begeistert erfreuen sich viele Unternehmen an den innovativen Daten-Analyse-Methoden unserer Zeit für Marketing und Kundenbindung. Datenschutzrechtlich dagegen ist die Verarbeitung riesiger Datenmengen eine der größten denkbaren Herausforderungen. Die seit 25. Mai 2018 rechtskräftige EU-Datenschutzgrundverordnung versucht dieser Herausforderung auf. Big Data Analytics beschreibt die systematische Auswertung/Analyse großer Datenmengen mit Hilfe neu entwickelter Software. Big Data Software umfasst im Gegesatz zu herkömmlichen Software Lösungen besondere Funktionen und Techniken, die die parallele Verarbeitung vieler Daten ermöglicht. Verarbeitung vieler Datensätze Big Data - Gefahren und Chancen für die Versicherungsbranche Der digitale Wandel hat die Versicherungsbranche reichlich spät ereilt - und kalt erwischt. Im einst so beschaulichen Feld ist ein.. Verknüpfte Artikel: Big Data und Überwachung in China: In der Hö taz.de vor 2 Minuten. Big Data und Überwachung in China: In der Höhle der Daten. Mit Big Data möchte Chinas Regierung den Alltag der Bevölkerung verbessern - und sie zugleich überwachen. Die Provinz Guizhou geht schon mal voran. Den ganzen Artikel lesen: Big Data und Überwachung in China: In de...→ 2021-05-13.

Big data refers to collected data sets that are so large and complex that they require new technologies, such as artificial intelligence, to process. The data comes from many different sources. Often they are of the same type, for example, GPS data from millions of mobile phones is used to mitigate traffic jams; but it can also be a combination, such as health records and patients' app use. Big Data unterstützt die digitale Transformation der Fertigungsindustrie in Guiyang. Die mechanischen Arme einer Gruppe von Robotern bewegen sich in der Fertigungsstätte. Sie kommissionieren, be.

  1. Big data processes and users require access to a broad array of resources for both iterative experimentation and running production jobs. A big data solution includes all data realms including transactions, master data, reference data, and summarized data. Analytical sandboxes should be created on demand. Resource management is critical to ensure control of the entire data flow including pre.
  2. Big data is usually associated with the so-called key-features (3 V's, 4 V', etc.). Its three fundamental features are volume, concerning the size of the data generated by the devices and.
  3. Big Data Growth Trends. The amount of data created each year is growing faster than ever before. By 2020, every human on the planet will be creating 1.7 megabytes of information each second!; In only a year, the accumulated world data will grow to 44 zettabytes (that's 44 trillion gigabytes)! For comparison, today it's about 4.4 zettabytes
  4. 'Big data' is massive amounts of information that can work wonders. It has become a topic of special interest for the past two decades because of a great potential that is hidden in it. Various public and private sector industries generate, store, and analyze big data with an aim to improve the services they provide
  5. Data Scientist - ein neues Berufsbild für die Big-Data-Welt. Herangehensweisen. Auf einer Seite lesen. Anzeige. Wer in der IT-Welt auf Jobsuche ist, trifft in letzter Zeit immer häufiger auf.
  6. Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software
  7. Big Data, das IoT und die digitale Transformation: Die Top-Themen der Zukunft auf dem HPE Event Reimagine 2016 in Stuttgart. Daten gelten als das neue Öl des kommenden Jahrhunderts. Wie beim Öl ist es jedoch auch bei den Daten so, dass der eigentliche Wert dann entsteht, wenn der Rohstoff richtig verarbeitet wird

Big Data und deren Analyse gelten als künftige Goldgrube in vielen Bereichen der Wirtschaft. Aber auch in der Kriminalitätsbekämpfung werden große Hoffnungen ins Data-Mining gesetzt. Erste Erfolge bestätigen den Einsatz von Predictive Analytics in der täglichen Polizeiarbeit für ein friedlicheres Miteinander As we have seen all along this article, leveraging your big data analytics will lead to an increased business success. Hereafter we present you an actual way to use these analytics by visualizing important retail KPIs it in an understandable manner: professional real-time dashboards. Sales & Order Dashboard **click to enlarge** With the advent and generalization of internet, consumption ways. Den ganzen Artikel lesen: Big Data-Tools für Privatradios...→ 2021-02-25. 4 / 10. medianet.at vor 129 Tagen. Marktforscher und Big Data-Analysten . Die Wiener Manova zeigt, wie man Daten aus der Blackbox holt, analysiert und als Live-Reporting anbietet. Den ganzen Artikel lesen: Marktforscher und Big Data-Analysten→ 2021-01-05. 7 / 10. ots.at vor 218 Tagen. Zukunftsfragen: Vielseitige.

Over the last decades, there has been growing enthusiasm of the potential usefulness of these massive quantities of data, called Big Data, in transforming personal care, clinical care and public health. 1 An overview of Big Data definition Big Data ist vor allem für den Bereich der Business Intelligence (BI) relevant, welcher sich mit der Analyse von Daten (Erfassung, Auswertung, Darstellung) befasst. Big Data Analytics beschreibt die systematische Auswertung/Analyse großer Datenmengen mit Hilfe neu entwickelter Software. Big Data Software umfasst im Gegesatz zu herkömmlichen Software Lösungen besondere Funktionen und Techniken, die die parallele Verarbeitung vieler Daten ermöglicht Big Data is a term that's come to be used to describe the technology and practice of working with data that's not only large in volume but also fast and comes in many different forms. For.

Big Data: Was Sie darüber wissen sollten SA

  1. als; consumer wearables such as fit meters; electronic health records; and on and on
  2. g languages for data scientists to lear
  3. g the study of how social networks function. In the 1960s, Stanley Milgram of Harvard used packages as his research medium in a famous experiment in social connections
  4. Big data is having a transformative impact across virtually all academic disciplines—it is time for data science to be integrated into the foundational courses for all undergraduates. Safeguarding data is his other major concern, because the privacy implications are profound. Typically, the owners of huge datasets are very nervous about sharing even anonymized, population-level.
  5. Schlagwort: Big data Analysing Datenschutz? Gibt's doch gar nicht. Publiziert 21. Januar 2018 7. Oktober 2020 von Ralf Lankau. Ein paar grundsätzliche Überlegungen für Nichtinformatiker und Lehrende zum Umgang mit Rechnern und Internet (25.1.2018) in: Paul Tarmann (Hrsg.) Datenschutz - Big Data als gesellschaftliche und politische Herausforderung. Gesellschaft & Politik.
  6. Big Data steht bei sechs von zehn Unternehmen an erster Stelle. 57 Prozent planen Investitionen in Big Data oder sind bereits in der Umsetzung. Manager: Internet of Things, Big Data und Robotik haben große Bedeutung für Wettbewerbsfähigkeit deutscher Unternehmen. Aber: Künstliche Intelligenz und Blockchain werden bislang nur selten genutzt
  7. How AI uses big data. It's not as if storage and other issues with big data and analytics have gone bye-bye. Gruber, for one, notes that the pairing of big data and AI creates new needs (or underscores existing ones) around infrastructure, data preparation, and governance, for example. But in some cases, AI and ML technologies might be a key part of how organizations address those operational complexities. (Again, there's a cyclical relationship here.
HR-Trends 2021 von Karlheinz Schwuchow | ISBN 978-3-648

Big Data und Überwachung in China: In der Höhle der Daten

  1. The big data era has only just emerged, but the practice of advanced analytics is grounded in years of mathematical research and scientific application. It can be a critical tool for realizing improvements in yield, particularly in any manufacturing environment in which process complexity, process variability, and capacity restraints are present. Indeed, companies that successfully build up their capabilities in conducting quantitative assessments can set themselves far apart from.
  2. Big Data analytics is a process used to extract meaningful insights, such as hidden patterns, unknown correlations, market trends, and customer preferences. Big Data analytics provides various advantages—it can be used for better decision making, preventing fraudulent activities, among other things
  3. Big Data is a phenomenon that is fundamentally changing what we know and do. Big Data is all about capturing, storing, sharing, evaluating, and acting upon information that humans and devices create and distribute using computer-based technologies and networks. Data comes from a multitude of sources, including sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, RFID devices, and cell phone GPS signals.

Big Data - Wikipedi

In the second episode of Five Minute Masterminds, the author and broadcaster Timandra Harkness introduces big data, explaining how big it actually is, its impact on recent political elections and. Big Data unterstützt die digitale Transformation der Fertigungsindustrie in Guiyang. Guiyang, China (ots/PRNewswire)-Die mechanischen Arme einer Gruppe von Robotern bewegen sich in der Fertigungsstätte. Sie kommissionieren, be- und entladen immer in perfekter Synchronisierung. In der AVIC Guiyang Wanjiang Aviation Electromechanical Co., Ltd. durfte der Journalist die digitale Transformation. Fighting Coronavirus with Big Data. We need to direct computing power toward finding a solution. Summary. Right now during the global pandemic, the awful choice seems to be between saving lives or.

Big Data: Schöne neue Datenwelt - Wirtschaft - Tagesspiege

Die Digitalisierung im Preismanagement - Homburg & Partner

Big data adoption is constantly growing: the number of companies using big data has dramatically increased from just 17% in 2015 to 53% in 2017. In 2018, 97.2% of companies indicated that they were investing in big data and AI. [1], [11 Introduction. Big data is a blanket term for the non-traditional strategies and technologies needed to gather, organize, process, and gather insights from large datasets. While the problem of working with data that exceeds the computing power or storage of a single computer is not new, the pervasiveness, scale, and value of this type of computing has greatly expanded in recent years 8 big trends in big data analytics Big data technologies and practices are moving quickly. Here's what you need to know to stay ahead of the game

Big Data: Wie mit vorhandenen Daten umgehen? Eine

Was ist Big Data

Wie Algorithmen und Big Data unsere Zukunft bestimmen

Big Data • Definition Gabler Wirtschaftslexiko

  1. Big data is not just for companies and governments but also for all of us individually. We can now benefit from the data generated from wearable devices such as smart watches or smart bracelets. Take the Up band from Jawbone as an example: the armband collects data on our calorie consumption, activity levels, and our sleep patterns. While it gives individuals rich insights, the real value is.
  2. g analytics from a science-fair project to the core of a business model starts with leadership from the top. Here are five questions CEOs should be.
  3. Big Data Analytics. ISSN: 2058-6345. Contact us. Submission enquiries: Access here and click Contact Us; General enquiries: info@biomedcentral.com; Read more on our blogs; Receive BMC newsletters; Manage article alerts; Language editing for authors; Scientific editing for authors; Policies; Accessibility; Press center; Support and Contact; Leave feedback ; Careers; Follow BMC. BMC Twitter page.

Big data dreams for tiny technologies Big data dreams for tiny technologies. MIT research combines machine learning with nanoparticle design for personalized drug delivery. Bendta Schroeder | Erika Reinfeld | Koch Institute. Publication Date: March 30, 2021. Press Inquiries. Press Contact: Bendta Schroeder Email: bendta@mit.edu. Phone: 617-324-7795 Koch Institute Close. Caption: A molecular. 16. November 2015, Bonn Technik und digitalisierte Daten begleiten und bestimmen mittlerweile unseren Alltag

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Trendbegriffe zur Konnektivität - Zukunftsinstitu

  1. #4 - Big Data Analysis Isn't Completely Accurate. Perhaps the surprising issue seen with big data, is that contrary to popular belief, the analysis generated by big data isn't as accurate as we previously thought it to be. Although the insights formulated by big data are powerful, they can also be critically flawed at times, further contributing to the privacy issues we've mentioned so.
  2. Big Data is an American electronic music project created by producer Alan Wilkis. Big Data is best known for its single Dangerous, featuring Joywave, which reached number one on the Billboard Alternative Songs chart in August 2014, and was certified gold by the RIAA in May 2015.Big Data's first EP, 1.0, was released on October 1, 2013, on Wilkis's own Wilcassettes label and features the.
  3. Big data is the data that is characterized by such informational features as the log-of-events nature and statistical correctness, and that imposes such technical requirements as distributed storage, parallel data processing and easy scalability of the solution. Below, you can read about these features and requirements in more detail. Informational features: In contrast to traditional data.
  4. Big data is a vague term for a massive phenomenon that has rapidly become an obsession with entrepreneurs, scientists, governments and the medi
  5. Nowadays big data is often seen as integral to a company's data strategy. Big data has specific characteristics and properties that can help you understand both the challenges and advantages of big data initiatives. You may have heard of the three Vs of big data, but I believe there are seven additional important characteristics you need to know. Conveniently, these properties each start with v as well, so let's discuss the 10 Vs of big data
  6. This article argues that big data's entrepreneurial potential is based not only on new technological developments that allow for the extraction of non-trivial, new insights out of existing data, but also on an ethical judgment that often remains implicit: namely the ethical judgment that those companies that generate these new insights can legitimately appropriate (the fruits of) these insights

Almost by definition, big data analytics means going deep into the information weeds and crunching the numbers with a technical sophistication that can appear so esoteric that senior leadership may be tempted simply to leave it to the experts and disengage from the conversation. But the conversation is worth having. The real power of analytics-enabled insights comes when they become so fully embedded in the culture that their predictions and prescriptions drive a company's strategy. Commercial big data are generated and used to provide goods and services to customers, and enable analytics to improve services and make investment or other business decisions. 3 Telecommunications providers, mobile operating systems, social media platforms, and retailers often collect, store, and analyse large quantities of data about customers' locations, transactions, usage patterns, interests, demographics, and more. Highly detailed personal information is used to provide.

Big data: the greater good or invasion of privacy? Pratap Chatterjee. This article is more than 8 years old. There are benign uses of data-mining, but for most of us the bigger issue is protection. Big data sources are very wide, including: 1) data sets from the internet and mobile internet (Li & Liu, 2013); 2) data from the Internet of Things; 3) data collected by various industries; 4) scientific experimental and observational data (Demchenko, Grosso & Laat, 2013), such as high-energy physics experimental data, biological data, and space observation data. These sources produce rich. Big data analytics in railway O&M will use advanced technologies to perform predictive analytics and make decisions based on the analysis of huge amounts of data. Providing O&M services will involve data collection, analysis, visualisation, and decision-making for assets. The use of big data in O&M will address a common Achilles' heel in asset management: that of status forecasting, commonly. Big data versicherungsbranche zu erproben - gesetzt dem Fall Sie kaufen das genuine Mittel zu einem akzeptabelen Preis - ist eine intelligent Entscheidung. Im Folgenden zeige ich Ihnen so manche Sachen, die ich während meiner Recherche ausmachen konnte: 6X4X200 ml , ohne Ballaststoffe ( Lieferumfang: 1 Karton Fresubin energy und streng lactosearm Cappuccino, Erdbeere, Multifrucht, Descriptive.

But often, the way data is collected and measured can result in biased and incomplete information. How We Can Solve Big Data's Bias Problem Wharton, University of Pennsylvani At the heart of its business lie some of the most sophisticated Big Data tools on the planet, including no shortage of dataviz applications. At a high level, these tools serve the interests of two.

Follow the virus software can track disease outbreaks in

Big Data: The Management Revolutio

Big data's one of many domains where open source shines. From open source alternatives for Google Analytics to new features in MySQL, 2020 brought several ways for open source enthusiasts to learn big data skills. Get up to speed on how open source data science languages, libraries, and tools help us understand our world better by reviewing the top 10 data science articles published on Opensource.com last year But big data also encompasses everything from call center voice data to genomic and proteomic data from biological research and medicine. Every day, Google alone processes about 24 petabytes (or 24,000 terabytes) of data. Yet very little of the information is formatted in the traditional rows and columns of conventional databases Volume, velocity, and variety: Understanding the three V's of big data (ZDNet) Best cloud services for small businesses (CNET) Big data: More must-read coverage (TechRepublic on Flipboard The entire reason for the complexity and expense of the big data platform is being able to run meaningful analytics across massive data volumes and different types of data. These analytics output results to applications, reports, and dashboards. This extremely valuable intelligence makes for a rich target for intrusion, and it is critical to encrypt output as well as ingress. Also, secure compliance at this stage: make certain that results going out to end-users do not contain.

Big Data und Datenschutz datenschutzexperte

Big data in healthcare refers to the vast quantities of data—created by the mass adoption of the Internet and digitization of all sorts of information, including health records—too large or complex for traditional technology to make sense of Previously, big data was primarily deployed by big businesses, who could afford the technology and channels used to collect and analyze the information. Today the scope of big data is changed leading to business enterprises large and small rely on big data for intelligent business insights. This has led to big data evolving at an unbelievably fast pace. The best example of the growth is big. Seit Beginn der Proteste gegen die Wahlverfahren setzen Big-Data-Konzerne in den USA zunehmend auf pauschale Stigmatisierung und Zensur. Bislang jubelte der. These big data sets can include structured, unstructured, and semistructured data, each of which can be mined for insights. How much data actually constitutes big is open to debate, but it. The problem is that these datasets—sometimes so large they're literally called big data—can make visualization with meaning difficult. But that's something we as designers are equipped to tackle. We just have to know what our users are hoping to gain from viewing and interacting with visualizations, and what we have to do to make their effort worthwhile

Robot helps in delicate eye operation – a world’s first

Was ist Big Data? - Big Data Analytics, Software, Tools

BIG data is suddenly everywhere. Everyone seems to be collecting it, analyzing it, making money from it and celebrating (or fearing) its powers. Whether we're talking about analyzing zillions of. Drugmakers are racing to scoop up patient health records and strike deals with technology companies as big data analytics start to unlock a trove of information about how medicines perform in the. Big data for good auszuprobieren - wenn Sie von den günstigen Aktionen des Fabrikanten profitieren - ist eine vernünftig Entscheidung. Dazu diverse Resultate, die ich im Verlauf meiner Suche ausfindig machen konnte: of Big Data & Cognitive Computing. Erfahrungen der Käufer Die Auswahl an starken Artikeln im Vergleich ist famos. Ich bin enorm glücklich, die Seite aufgefunden zu haben. Big Tech companies such as Facebook, Google, and Amazon collect personal user data from many different sources to create secret identities of people in order to understand users' personality. Data Science bezeichnet generell die Extraktion von Wissen aus Daten. Data Science ist ein interdisziplinäres Wissenschaftsfeld, welches wissenschaftlich fundierte Methoden, Prozesse, Algorithmen und Systeme zur Extraktion von Erkenntnissen, Mustern und Schlüssen sowohl aus strukturierten als auch unstrukturierten Daten ermöglicht. Der Studiengang Data Science verwendet Techniken und Theorien aus den Fächern Mathematik, Statistik und Informationstechnologie, einschließlich.

Robots In Healthcare: Creepy Dolls, Therapists Or Socialadidas Predator 20

Big Data - Gefahren und Chancen für die

Big Data is a huge phenomenon in the United States. Companies from a vast variety of industries are benefiting from the collection, analysis, and manipulation of massive amounts of data from a wide variety of sources. Many analysts predict explosive growth for the future of Big Data In this article. A big data architecture is designed to handle the ingestion, processing, and analysis of data that is too large or complex for traditional database systems. The threshold at which organizations enter into the big data realm differs, depending on the capabilities of the users and their tools. For some, it can mean hundreds of gigabytes of data, while for others it means hundreds of terabytes. As tools for working with big data sets advance, so does the meaning of big data.

Big Data und Überwachung in China: In der Hö GLONAABO

The Rise of Big Data Psychiatry The information captured by our smartphones, as well as new speech- and facial-recognition technologies, can yield invaluable insights for mental health professionals The path to better food is paved with data, says entrepreneur Erin Baumgartner. Drawing from her experience running a farm-to-table business, she outlines her plan to help create a healthier, zero-waste food system that values the quality and taste of small, local farm harvests over factory-farmed produce

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Big data: definition, benefits, challenges (infographics

Big Data describes massive amounts of data, both unstructured and structured, that is collected by organizations on a daily basis. This Big Data can then be filtered, and turned into Smart Data before being analyzed for insights, in turn, leading to more efficient decision-making. Smart Data can be described as Big Data that has been cleansed, filtered, and prepared for context Big data im personalwesen • Dort gibt es die tollsten Ausführungen! mit 3M Reflektierendem für Kinder mit. aus strapazierfähigem, robustem geeignet Diese Kinderwarnweste Die Weste ist entspricht der EN Farben, deswegen ist Hergestellt mit in die Schule. (Europäische Hochschulschriften Recht Beschäftigtendatenschutz nach der . Das beste Angebot ist trotz des Preises hochwertiger als.

Big Data unterstützt die digitale Transformation der

The Agency is organising the Veterinary Big Data Stakeholder forum as a first opportunity to bring together regulators, the pharmaceutical industry, farm management system providers, academia, consumers and practitioners, to: build awareness on the use of innovative digital technologies in the veterinary regulatory environment The Handbook of Big Geospatial Data with 24 chapters was written by more than 70 authors from all over the world, the book provides a wide range of interesting articles ranging from very special algorithmic aspects (GPUs) over foundational questions of mind-set (e.g., uncertain database management) to current state-of-the-art in certain domains. Professor Martin Werner from the Technical. Big data brings the power of computers together with some of the biggest inventories of hyper-individualized information to give us insight into every aspect of modern life and human behavior. Naturally, data scientists, policymakers, and tax experts are interested in using the same sort of big data mechanisms to advance the study, and reform, of taxation [2]. As America's leaders continue. The Dark Side Of The Recovery Revealed In Big Data : Planet Money The way the government tracks recessions is largely the same as it was 70 years ago. A research group is working to change that. big-data tools may allow online payday lenders to target the most vulnerable consumers and lure them into debt traps. Existing laws are insufficient to respond to the challenges posed by credit scoring in the era of big-data. While federal law prohibits certain forms of discrimination in lending and ensures that consumers have limited rights to review and correct errors in their credit reports.

What Is Big Data? Oracl

Big data By Jayati Ramakrishnan. East Oregonian. Aug 9, 2018 Aug 9, 2018 Updated Dec 13, 2018; 0; Facebook; Twitter; WhatsApp; SMS; Email; The Amazon data center in Umatilla is one of four sites. In this second article of our Big Data & Issues & Opportunities series (see our first article here), we focus on some of the privacy and data protection aspects in a big data context. Where relevant, illustrations from the transport sector will be provided. The analysis of privacy and data protection aspects in a big data context can be relatively complex from a legal perspective. Indeed. Big data is the key to everything. Here are four ways to improve how you use it. Companies with a strong awareness of customer trends and business priorities have been able to stay competitive. Big Data und Künstliche Intelligenz in der Gesundheitsversorgung am Di., 08.06.2021, 19.00 Uhr Livestream im Rahmen der Veranstaltungsreihe Stadt | Land | DatenFlus

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