AWS Services for Data Engineers - Data Analytics

AWS Services for Data Engineers

AWS Data Engineering encompasses a suite of cloud services designed to empower data professionals in efficiently managing, processing, and analysing data. Leveraging services such as Amazon S3 for scalable storage, Amazon EMR for big data processing, and AWS Glue for ETL workflows, data engineers can construct robust pipelines. Amazon Web Services (AWS) provides a wide range of services that are valuable for data engineers. These services can be used to build scalable, reliable, and cost-effective data solutions. Here are some key AWS services that data engineers commonly leverage

AWS Data Engineering Online Training


Amazon S3 (Simple Storage Service):

A scalable object storage service that allows data engineers to store and retrieve any amount of data.

Amazon RDS (Relational Database Service):

Managed relational database service that supports multiple database engines, including MySQL, PostgreSQL, SQL Server, and Oracle.

Amazon Redshift:

A fully managed data warehouse service that allows data engineers to run complex queries on large datasets.             - AWS Data Engineering Training

Amazon EMR (Elastic MapReduce):

A cloud-based big data platform that allows processing large amounts of data using popular frameworks like Apache Spark and Apache Hardtop.

AWS Glue:

A fully managed extract, transform, and load (ETL) service that makes it easy for data engineers to prepare and load their data for analysis.

Amazon Dynamo DB:

A fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.

AWS Data Pipeline:

A web service for orchestrating and automating the movement and transformation of data between different AWS services and on-premises data sources.                                                - Data Engineer Training in Hyderabad

Amazon Kinesis:

A platform for streaming data on AWS, offering services like Kinesis Data Streams for real-time data ingestion and Kinesis Data Analytics for processing and analysing streaming data.

Amazon Athena:

A server less query service that allows data engineers to analyse data stored in Amazon S3 using standard SQL queries.

AWS Step Functions:

A server less function orchestration service that enables coordination of multiple AWS services into server less workflows.

AWS Lambda:

A server less computing service that allows data engineers to run code without provisioning or managing servers, making it useful for event-driven data processing.                                                - Data Engineer Course in Ameerpet

Amazon Quicksight:

A fully managed business intelligence (BI) service that allows data engineers to create and publish interactive dashboards.

AWS Glue DataBrew:

A visual data preparation tool that enables data engineers to clean and normalize data without writing code.

AWS Lake Formation:

A service that simplifies the process of setting up, securing, and managing a data lake.

Amazon MSK (Managed Streaming for Apache Kafka):

A fully managed Kafka service that makes it easy for data engineers to build and run applications that use Apache Kafka for stream processing.

These services can be combined to create end-to-end data pipelines, from data ingestion and storage to processing, analytics, and visualization. The specific services used will depend on the requirements and architecture of the data engineering solution being developed.

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