Category: Big Data Beginner

This course focuses on exploring big data use cases in the banking sector through the lens of Hadoop. Students will learn about data integration, table creation, content analysis, and archival techniques. The teaching method involves a series of case studies to illustrate real-world applications. This course is designed for individuals interested in understanding how big…

This course covers the use cases of big data in e-commerce, focusing on data analysis using Hadoop. The learning outcomes include understanding e-commerce data analysis, creating tables and data, checking rules, and validating data. The course teaches skills such as table creation, data creation, rules checking, and e-commerce data analysis. The teaching method involves case…

Learn how to analyze music data using Hadoop for big data use cases. This course covers post-analysis steps, creating lookup tables, data filtering, data enrichment, and analyzing enriched data. The course aims to teach students how to apply Hadoop for music data analysis, providing hands-on experience with real-world use cases. The intended audience for this…

This course aims to teach learners about Big Data and Hadoop, providing an introduction to Big Data, Hadoop architecture, HDFS, MapReduce, Hive, Yarn, and HBase. By the end of the course, students will understand how to work with Hadoop clusters, solve Big Data problems, and utilize various tools within the Hadoop ecosystem. The teaching method…

The ecosystem of data science tools based on the Hadoop and NoSQL stack is a crucial and growing part of the future of the industry. Data engineers need a broad knowledge of the components of this platform, and this learning path enables learners to dig in and skill up. https://www.classcentral.com/course/linkedin-learning-advance-your-skills-in-the-hado-63793

This course covers recent advances in networking, focusing on topics such as Software Defined Networking (SDN), Big Data, Internet of Things (IoT), and Virtualization. By the end of the course, students will understand Data Center Networking, Network Virtualization, OpenFlow, Network Function Virtualization (NFV), and IoT. The course teaches skills in server virtualization, storage virtualization, application…

The amount of data in the world of business continues to grow almost exponentially. This course will teach you how to use AWS provided tools to create the necessary support structure for handling big data now and in the future.As the world of business continues to operate at a normal pace, the amount of data…

This course aims to prepare learners for the Hadoop Certifications – Cloudera Certified Associate Spark and Hadoop Developer exam. By the end of the course, students will be able to use tools like Sqoop, Flume, Spark, and Scala to work with big data environments. The course covers topics such as data importing and exporting, real-time…

This course covers various topics related to security, governance, data engineering, data warehouse, model deployment, multi-cloud portability, cluster management, troubleshooting, workload optimization, and backup using Cloudera technologies. By the end of the course, learners will be able to implement security measures, manage workloads efficiently, troubleshoot common issues, optimize cluster performance, and back up data effectively…

This course provides an in-depth introduction to Cloudera’s Shared Data Experience (SDX) and the Cloudera Data Platform (CDP). It covers topics ranging from provisioning workspaces in Cloudera Machine Learning and getting started with Cloudera Data Engineering on CDP to operational database with HBase on Data Hub and automating deployment of Apache Spark jobs in Cloudera…