This track includes:
Big Data on AWS - 3 Days
Exam Readiness: AWS Certified Data Analytics - 0.5 Day
Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.
The AWS Certified Data Analytics - Specialty exam validates technical skills and experience in designing and implementing AWS services to derive value from data. This course is intended for Individuals with a Cloud Practitioner or Associate-level AWS certification and two or more years of experience performing complex big data analysis. The course helps you prepare for the exam by taking a deep dive into several data-driven use cases.
Certification bundle includes:
· Big Data on AWS
· AWS Certification Exam Readiness Workshop: Data Analytics
We recommend that attendees of this course have the following prerequisites:
· Working knowledge of IT infrastructure concepts
· Familiarity with basic finance concepts
· Familiarity with basic IT security concepts
· Basic familiarity with big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying.
· Students should complete the Big Data Technology Fundamentals web-based training or have equivalent experience.
· Working knowledge of core AWS services and public cloud implementation.
· Students should complete the AWS Essentials course or have equivalent experience.
· Basic understanding of data warehousing, relational database systems, and database design.
· AWS Certified Cloud Practitioner or an Associate-level AWS Certification
· Two or more years of hands-on experience performing complex big data analyses on AWS