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This course focuses on the intersection of business rules management and big data, highlighting the importance of harnessing data for informed business decisions. By integrating JBoss BRMS with a big data stack, learners will acquire the skills to create and manage data-driven rules for real-time decision-making, particularly in areas like anti-money laundering. The teaching method…

Learn how to sketch big data to efficiently process and analyze large datasets. This course covers the basics of sketching, approximate counting, frequent items, and graph streaming. Students will acquire skills in sketching techniques, approximate counting methods, and graph streaming algorithms. The teaching method involves theoretical explanations, simple sketching examples, and known algorithms. This course…

This course focuses on scaling up Bayesian inference for big and complex data. The learning outcomes include understanding computational challenges in machine learning, exploring mixing rate problems, playing MCMC games, addressing big N problems, utilizing stochastic approximation, solving sparse linear programs, and discussing theoretical guarantees. The course teaches skills such as implementing logistic regression, Gaussian…

This course covers the transition from Big Data to Data Science, focusing on Predictive Analytics in a changing data landscape. The course aims to teach participants about the challenges and opportunities in utilizing data and analytics to drive growth and cost savings in businesses. The syllabus includes topics such as Classic Data, Commercial Signal, Text,…

This course aims to explore the security and compliance aspects of genomic data in the cloud. The learning outcomes include understanding the intersection of genomics, cloud, and big data, as well as the implications for medical therapies. The course covers topics such as the central dogma of DNA, genomics in clinical trials, cloud adoption in…

This course teaches how to deploy a serverless Osquery backend for intrusion detection at scale. The learning outcomes include understanding endpoint management, data transport, and processing large-scale data. The course covers topics such as deploying Osquery, using Saltstack for management, data transport and storage, performance considerations, and data visualization. The intended audience for this course…

This course aims to teach learners about endpoint big data in the age of compromise. The learning outcomes include understanding the challenges and solutions related to endpoint security, analyzing attack statistics, and implementing automation for remediation. The course covers topics such as endpoint visibility, network logs, and responding to security alerts. The intended audience for…

This course covers the use of big data in cyber security, focusing on topics such as security operations research, abuse case botnet command and control, DNS data analysis, solution architecture, and the concept of the Security Machine for scalable and reliable detection and remediation. The course aims to teach learners about leveraging big data tools…

This course aims to help learners understand that big data doesn’t have to be overwhelming. By exploring the theory, differences between Twitter and Facebook data, and the meaning and focus of big data, participants will learn how to evaluate and utilize it effectively. The course covers the challenges associated with big data and provides practical…

This course covers the learning outcomes and goals of understanding secure networking in a big data environment. It teaches about the impact of big data on networks, network characteristics, traditional network architecture, leaf and spine networks, network fabric, and network functions virtualization. The teaching method involves presenting information through slides. The intended audience for this…