Description
ACI Learning – Data Engineering using AWS Data Analytics 2024: A Complete Guide to Cloud Data Solutions
Are you looking to develop your skills in cloud data engineering? The AWS Data Analytics Course Data Engineering using AWS Data Analytics 2024 Training from ACI Learning is designed to teach you how to leverage AWS services to build scalable, efficient data pipelines, manage big data, and perform advanced analytics on the cloud. Whether you’re new to cloud data engineering or looking to refine your skills, this course covers everything from data ingestion to analytics and visualization, ensuring you’re ready to tackle real-world data challenges with AWS.
What You’ll Learn in This Data Engineering using AWS Data Analytics 2024 Training
- Introduction to AWS Data Analytics and Data Engineering
- Setting up data lakes and data warehouses on AWS
- Ingesting and processing data using AWS services like Kinesis, Lambda, and Glue
- Building and optimizing data pipelines
- Using AWS Redshift for data warehousing and analytics
- Performing data transformation and aggregation with AWS tools
- Visualizing and analyzing data with AWS QuickSight
- Best practices for cloud data security and cost optimization
Requirements for the Data Engineering using AWS Data Analytics 2024 Training
This Data Engineering using AWS Data Analytics 2024 Training is intended for individuals with basic knowledge of cloud computing and data engineering principles. Familiarity with AWS services is recommended but not required. If you’re new to AWS, consider taking introductory AWS courses or reviewing cloud computing fundamentals. The course is ideal for data engineers, data scientists, and anyone interested in mastering cloud-based data engineering techniques on AWS.
Course Description: Build Cloud Data Pipelines with AWS
This course provides a comprehensive introduction to data engineering using AWS Data Analytics services, which will enable you to design and implement scalable data solutions on the cloud. You will begin with an overview of AWS and its data analytics capabilities, including data lakes, data warehouses, and the key AWS tools such as Kinesis, Lambda, and Glue.
The course then moves on to practical lessons where you will learn how to ingest large volumes of data, process and transform it using AWS services, and build optimized data pipelines that can scale with your business. You will also explore the use of AWS Redshift for advanced data warehousing and analytics, and learn how to visualize your data using AWS QuickSight for deeper insights.
By the end of this Data Engineering using AWS Data Analytics 2024 Training, you will have the skills to build and manage end-to-end cloud data solutions on AWS, enabling your organization to handle large datasets, run complex analytics, and make data-driven decisions with ease.
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About the Author of the Data Engineering using AWS Data Analytics 2024 Training
The instructors at ACI Learning are seasoned cloud data engineers and AWS specialists with years of experience in building, managing, and optimizing cloud-based data pipelines. Their deep expertise in AWS services and cloud computing ensures that the content of this course is up-to-date with industry standards. The course is designed to provide practical, hands-on knowledge, ensuring you gain the skills needed to excel in cloud data engineering roles.
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