Important Services for Data Engineers provided by AWS, Microsoft Azure & GCP

AWS Lambda :
AWS Lambda is a serverless compute service allowing running code without provisioning or managing servers, paying only for actual usage.

Amazon Redshift :
Amazon Redshift is a fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze vast amounts of data using SQL and existing BI tools.

AWS Glue :
AWS Glue is a fully managed extract, transform, and load (ETL) service that simplifies the process of preparing and loading data for analytics.

Amazon S3 :
Amazon S3 (Simple Storage Service) is a scalable object storage solution designed for secure and durable storage of any type of data on the cloud.

Amazon DynamoDB :
Amazon DynamoDB is a fully managed NoSQL database service providing fast and flexible document and key-value storage for applications at any scale.

Microsoft Azure Cosmos DB :
Azure Cosmos DB is a globally distributed, multi-model database service designed for high scalability, low latency, and comprehensive data querying, supporting multiple data models like document, key-value, graph, and more.

Azure Datafactory :
Azure Data Factory is a cloud-based data integration service that orchestrates and automates the movement and transformation of data across various sources and destinations.

Azure Synapse Analytics :
Azure Synapse Analytics is an all-in-one analytics service that brings together enterprise data warehousing and big data analytics, enabling seamless exploration, integration, and analysis of diverse data sources at scale.

Google BigQuery :
Google BigQuery is a fully managed, serverless data warehouse that enables scalable analysis of massive datasets using SQL.

Google DataProc :
Google Dataproc is a managed Spark and Hadoop service, offering a fast, easy, and cost-effective way to run Apache big data frameworks in the cloud.

Google Dataprep :
Google Cloud Dataprep is a serverless data preparation tool that simplifies the process of cleaning, transforming, and preparing data for analysis.

Google Cloud Composer :
Google Cloud Composer is a fully managed workflow orchestration service built on Apache Airflow, used for authoring, scheduling, and monitoring pipelines across Google Cloud.

Google cloud data fusion :
Google Cloud Data Fusion is a fully managed, code-free data integration service that simplifies the ETL (Extract, Transform, Load) process for analytics and machine learning.

Google cloud Data Studio :
Google Cloud Data Studio is a free, interactive data visualization tool that enables the creation of customizable, shareable dashboards and reports from various data sources.

Google cloud Data Flow :
Google Cloud Dataflow is a fully managed service for stream and batch processing that allows simplified development and execution of data pipelines.