This track includes:
Building Data Lakes on AWS - 1 Day
Building Batch Data Analytics Solutions on AWS - 1 Day
Building Data Analytics Solutions using Amazon Redshift - 1 Day
Exam Readiness: AWS Certified Data Analytics - 1 Day
In this Building Batch Data Analytics Solutions on AWS course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.
In this Building Data Analytics Solutions using Amazon Redshift course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.
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.
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