Apache Hadoop is the most popular platform for big data processing. Hadoop combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 provides participants with insight into these tools and software benefits and uses through the exploration of practical examples and case studies. The course reviews Hadoop 3’s latest features, taking a detailed look at HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. The course then explores how to integrate Hadoop with the open source tools - such as Python and R – used to analyze and visualize data and perform statistical computing on big data. Participants will also learn how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing.
Attendees will exit this course with the skills required to use Hadoop to build analytics solutions on the cloud, working in an end-to-end pipeline to perform big data analysis using practical use cases. Students will be well-versed with the analytical capabilities of the Hadoop ecosystem, and able to build powerful solutions to perform big data analytics and get insight effortlessly.
Working in a hands-on learning environment, students will:
This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current "on-the-job" experience into every classroom
Working in a hands-on learning environment, led by our expert instructor, students will learn to:
Need different skills or topics? If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate. We offer additional Big Data / Data Science, Hadoop, programming, analytics, Python/R, and other related topics that may be blended with this course for a track that best suits your needs. Our team will collaborate with you to understand your needs and will target the course to focus on your specific learning objectives and goals.
This course is geared for attendees who wish to use Integrated Big Data Solution to acquire, process, integrate and analyze big data. Attendees should possess the following incoming skills:
Please see the Related Courses tab for specific Pre-Requisite courses, Related Courses that offer similar skills or topics, and next-step Learning Path recommendations.
Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most.
Each student will receive a Student Guide with course notes, code samples, software tutorials, step-by-step written lab instructions, diagrams and related reference materials and links (as applicable). Students will also receive the project files (or code, if applicable) and solutions required for the hands-on work.
Lab Setup Made Simple. All course labs and solutions, data sets, Tableau course software (limited version, for course use only), detailed courseware, lab guides and resources (as applicable) are provided for attendees in our easy access, no installation required, remote lab environment for the duration of the course. Our tech team will help set up, test and verify lab access for each attendee prior to the course start date, ensuring a smooth start to class and successful hands-on course experience for all participants.
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