Category: Big Data Beginner

Learn how to utilize Hadoop for solving real-world big data problems by gaining insights into new types and huge sets of data. The course covers examples of using Hadoop for analyzing social media data and other real-world use cases. By attending this course, you will be inspired and educated on leveraging Hadoop to extract valuable…

This course teaches learners how to make Big Data useful by exploring the complexities of systems logging and storing data, as well as the logic and reasoning of end users. The course covers topics such as data pipelines, reporting history, dealing with data size, architecture layers, user experience, and tools like QV Helper, Master Portal,…

This course aims to teach learners how to connect and make sense of big data using Apache TinkerPop and graph databases. By the end of the course, students will be able to extract and discover relationships from their data lake using the Gremlin graph query language. The course covers property graphs, Gremlin queries, SQL queries,…

This course focuses on improving safety in real-world driving and transport using Big Data and IoT. The learning outcomes include understanding how Nauto utilizes visual and sensor data streams to enhance driving safety and fleet efficiency. The course covers topics such as distracted driving, driver identification, collision detection, and insurance claims. The teaching method involves…

This course teaches learners how to work with large, unstructured data without using Hadoop or Java. The learning outcomes include understanding different tools for collecting, mining, storing, and provisioning big data. The course aims to equip participants with the skills to handle large data sets efficiently. The teaching method involves a presentation by a lead…

This course aims to teach learners how to leverage Big Data, Analytics, and AI in the context of electronic transactions. The course covers the development of solutions using state-of-the-art, open-source tools such as a conversational assistant, recommendation system, search engine, and analytics end-to-end solution. The teaching method involves exploring the technical aspects of the “Payzy…

This course aims to help learners understand the fundamentals of Big Data beyond just Map/Reduce and NoSQL. By exploring various technologies and their practical applications, students will gain insights into handling large datasets effectively. The course teaches skills such as data processing, analysis, and management in the context of Big Data. The teaching method involves…

This course explores the challenges and opportunities of Big Data, focusing on how research and development work can have a social impact. The course covers topics such as understanding Big Data, measuring it, identifying sectors of promise, talent shortage, data privacy, management, science, and integration. The teaching method includes lectures on various aspects of Big…

This course provides an overview of the evolving Big Data landscape, covering technologies such as Hadoop, NoSQL databases, Spark, and SQL. The learning outcomes include understanding the state of the art in Big Data, exploring tools for specific problems, and delving into technologies like Spark and SQL for event processing and analytics. The course is…

This course focuses on handling and processing large volumes of data efficiently. By the end of the course, learners will understand the challenges of dealing with massive amounts of data and how to process them effectively. The course teaches skills such as managing JSON payloads and handling telemetry data. The teaching method involves real-world examples…