Digital data is exposed to various types of threats while traversing data networks across a wide range of platforms. Understanding the types of threats to which data is exposed is as important as understanding how to protect data from vulnerable systems. This course introduces important concepts in maintaining cyber hygiene and preserving data integrity in the cyberspace.
This course will focus on technical, business and regulatory aspects of Internet of Things (IoT), Big Data and Artificial Intelligence (AI). It will cover Internet technologies for IoT, then IoT standards, architectures and interoperability, as well as IoT policies and regulations, including IoT security and privacy issues. The course will include IoT services in 4G and 5G mobile systems, including massive IoT and critical IoT use cases. The IoT generates large amounts of data that cannot be processed by traditional techniques, and such data is referred to as Big Data.
The COVID-19 pandemic has led to the global reliance on the digital domain for various transactions. The global adoption of online alternatives has also resulted in fresh data security challenges, as well as significant increase in the number and sophistication of cyberattacks. Understanding the techniques to tackle data breaches is essential to preventing fatal consequences. This course teaches how to mitigate post-COVID data security challenges in the corporate world.
Due to successive technological advancements, developments, and innovations, the global industrial landscape has drastically transformed over the last years. The fourth industrial revolution (Industry 4.0) aims at transforming previous generation's industries into intelligent ones by incorporating IoT as innovative technology. Internet of Things (IoT) is a rapidly growing concept that has dramatically contributed to the industry 4.0 realization.
This course focuses on building a range of data related skills and competence in data analysis techniques for participants from all disciplines and/or backgrounds. This course presents a Data Science approach to working with Research and scientific data.
Les entreprises produisent d'énormes quantités de données chaque jour. Ces données sont stockées puis traitées et analysées pour en tirer de la valeur. Grâce aux plateformes de stockage et de traitements distribués de type Hadoop, il est devenu plus facile pour les ingénieurs de répondre aux problématiques du Big Data avec une grande efficacité et à un coût réduit. Ce séminaire vous offre l'occasion de vous essayer au traitement distribué de données massives via la plateforme Hadoop et ses outils comme Hive et Spark.
The subject matter if this web seminar refers to international data transfers whereby cloud computing solutions will be applied. In relation to the subject matter various types of data will be discussed, including personal, which will be analysed in the context of different regulations. The web seminar will include technical aspects of application of various types of the cloud computing and its impact on the application of the legal framework. The seminar will also address different roles of cloud actors and its obligations under relevant regulations.
The training aims to strengthen the capacity of countries to produce ICT indicators and statistics according to international standards and methodologies. It presents the main groups of telecommunication/ICT indicators collected and the different questionnaires as well as the definition and methodologies of the indicators following the ITU Handbook for the collection of administrative data on telecommunications/ICT. Examples provided address data gaps and challenges faced by countries and suggests possible solutions.