Category: Big Data Beginner

This course focuses on the future of Scala performance on big data. The learning outcomes include understanding the newly developed Scala Big Data Benchmark, learning about the most impacting big data-related performance improvements for Scala, and exploring benchmarks based on real-world workloads. The course teaches skills such as benchmarking, optimizing Hashmap, and utilizing benchmark drivers.…

This course focuses on learning about Scala and the JVM as a Big Data platform, with a specific emphasis on lessons from Apache Spark. The course aims to teach the advantages of Scala over Java, including a balance of object-oriented and functional programming, interpreter mode, rich Collections library, tuples, pattern matching, and type inference. It…

This course focuses on the future of Scala performance on big data. The learning outcomes include understanding the challenges in benchmarking Scala on big data workloads and learning about the newly developed Scala Big Data Benchmark. The course aims to teach the most impactful big data-related performance improvements for Scala. The teaching method involves a…

This course teaches learners how to scale machine learning workflows to big data using Fugue. The learning outcomes include understanding how to transition from Pandas to Spark or Dask as data grows, implementing Fugue to port Python code with minimal changes, and writing code in a framework-agnostic manner for different execution environments. The course covers…

This course aims to teach learners the tools and skills necessary for working with big data. The learning outcomes include understanding mathematical modeling of networks, particularly in communication, road transport, and energy networks. The course covers theoretical modeling, data analysis, and utilizing recent advances in computer technology like multi-core and cluster computing. The teaching method…

This course aims to teach learners how to handle and process large volumes of data efficiently using a Bloom Filter. The course covers topics such as the infrastructure used at Report URI, the concept of Bloom Filters, inserting items, probabilities, width considerations, and real-world case studies. The teaching method involves a presentation style lecture with…

This course aims to teach learners how to utilize big data to enhance consumer trust and confidence. The course covers the skills and tools needed to analyze and interpret large datasets effectively. The teaching method involves real-world examples and case studies to demonstrate the impact of big data on consumer behavior. This course is intended…

This course covers topics such as digital exhaust, human interests, wearable devices, MOOCs, algorithmic transparency, machine learning, and recommendations. The learning outcomes include understanding big data challenges and exploring various data-related concepts. The teaching method involves video lectures from a conference. The intended audience is individuals interested in big data and its implications. https://www.classcentral.com/course/youtube-109-big-datas-big-problems-jeanna-neefe-matthews-256997

This course aims to teach learners about processing big data from space, focusing on utilizing satellite data to extract information about weather, climate, and other parameters. The course covers the challenges of handling large volumes of data and introduces high-performance computing as a solution. The teaching method includes an introduction to big data, its applications,…

This course covers the following learning outcomes and goals: understanding how to handle big data by designing appropriate databases and infrastructure, adding value to big data through Smart Data techniques, evaluating the application of machine learning models, and gaining insights from real-life project examples. The course teaches skills in data warehouses, ETL tools, visualization, database…