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This course teaches learners about how big data is transforming incident response, covering topics such as big data infrastructure, data analysis, the advantages of big data in security, and different tools and techniques used in incident response. The teaching method includes lectures and real-world examples. This course is intended for individuals interested in cybersecurity, incident…

This course teaches learners how to apply Big Data technology to security use cases. The learning outcomes include understanding various data technologies, databases, Hadoop, MapReduce, Hive, design patterns, and machine learning. The course covers skills such as working with big and small data, different types of databases, and implementing machine learning algorithms. The teaching method…

This course aims to teach learners about utilizing big data and algorithms for ecology and conservation purposes. The learning outcomes include understanding novel data sources for ecological research, fitting models, testing hypotheses, making predictions, and reasoning about human impacts on biological processes at large scales. The course covers skills such as working with collective graphical…

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with…

This course aims to teach learners how to build a simple, scalable infrastructure to handle and analyze massive real-time data from Swiss public transportation. The course covers topics such as streaming events with Kafka and Logstash, flow transformation with Akka or Play Streaming, storage in Elasticsearch, real-time visualization with ReactJS and d3.js, a posteriori analysis…

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with…

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with…

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with…

This course covers the learning outcomes and goals of transitioning from traditional workflow managers to second-generation tools for big data. Participants will explore Python-based open-source workflow managers such as Luigi, Pinball, and Airflow, which offer agility and extensibility by describing workflows in code. The course aims to equip learners with the skills to effectively manage…

This course aims to help learners understand the evolving Big Data landscape, including alternatives to Hadoop and next-generation datastores. The goal is to provide insights into the strengths and weaknesses of various Big Data tools, guiding learners on how to evaluate and integrate these tools to meet specific business objectives. The course focuses on extracting…