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Learn how to utilize tools designed for “Big Data” to analyze Ftrace data efficiently. This course will teach you how to perform sophisticated analysis through scripting, leveraging existing infrastructure from the “Big Data” and machine learning industries. The teaching method involves demonstrating a Proof of Concept interface for accessing Ftrace data in Python, along with…

This course aims to teach learners how to bring batch capability into Kubernetes, using AI and Big Data as examples. The learning outcomes include understanding how to run batch workloads on Kubernetes, implementing advanced scheduling features like fair-share scheduling, and integrating domain frameworks like TensorFlow, Spark, PyTorch, and MPI with Kubernetes. The course teaches skills…

This course aims to provide participants with the opportunity to have their questions on SQL Server 2014, Microsoft Azure, and Big Data answered by SQL Server Product Managers in a live session. The course focuses on enhancing participants’ understanding of these topics through interactive Q&A sessions. This course is suitable for individuals interested in SQL…

This course teaches learners how big data is utilized to manage over 1 million databases in SQL Azure. The course covers troubleshooting models, telemetry scenarios, data collection strategies, building batch pipelines, utilizing table and blob storage, creating dashboard systems, cloud service fundamentals, petabyte-scale telemetry approaches, real-time alerting, and machine learning options. The teaching method involves…

This course covers the following learning outcomes and goals: understanding generic data lakes, Lambda Architecture, Azure Blob Storage, Azure Data Lake Store, Azure HDInsight, Azure Data Lake Analytics, Azure SQL Data Warehouse, DTU (Data Warehouse Unit), partitioning data, and handling non-supported data types and features. The course teaches skills such as working with big data…

This course covers the management of massive amounts of data at PayPal to extract useful insights for business growth. The learning outcomes include understanding PayPal’s architecture, fast data principles, and challenges in handling large datasets. The course teaches about XA transactions, fast data architecture, and requirements. The teaching method involves a presentation by a Chief…

This course explores the concept of Big Data’s Fourth V and discusses why finding the Loch Ness Monster may be an elusive task. The course aims to provide insights into the challenges and limitations of big data analysis. The teaching method involves a lecture format. This course is intended for individuals interested in big data,…

This course explores how big data and smart city initiatives can address urban challenges and improve efficiency. Participants will learn about the use of data analytics in areas such as housing, public safety, and environmental sustainability. The course covers best practices for implementing smart city projects, the importance of data for cities, and strategies for…

This course explores how big data, AI, and machine learning can be applied to help bees thrive. The learning outcomes include understanding the importance of data analytics in beekeeping and the potential benefits for bee populations. The course teaches about augmented reality, AI, machine learning, and their applications in The World Bee Project. The teaching…

Learn about the anatomy of data-intensive containerized applications, their lifecycle, and importance. Explore various data-intensive applications like Amazon Retail and Uber, understand their architectures (such as Lambda and CAPA), and discuss trade-offs. The course covers microservices, general concerns, and application architectures. Intended for individuals interested in understanding the structure and lifecycle of data-intensive containerized applications.…