Credit Analyzing: AWS (S3)

All about Data Engineering

Amazon Simple Storage Service (S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance.

lt is ideal for data storage, backup, and Analytics.

Amazon S3 provides features like scalable storage, versioning, data encryption, lifeeyGle management, and integration with Various AWS services. It supports diverse use cases such as data lakes, backups, storage.

Amazon Redshift is a fully managed petabyte-scale data warehouse service in the cloud, designed for large-scale data storage arad real-time data analysis.

Recishift offers fast query performance, scalable architecture, columnar storage, ana aata compression. It integrates with Various data sources and supports advancea analytics and machine learning

AWS Glue is a fully managed ETL service that makes it easy to prepare and transform data for analytics, using a server less architecture to automate data integration tasks.

AWS Glue includes a data catalog for metadata management, job scheduling, data transformation with Spark, and st1pport for various data sources and targets. It simplifies ETL processes with Automated schema discovery and code

Amazon Elastic MapReduce (EMR) is a cloud-native big data platform that allows processing vast amounts of data quickly and Gast-effectively using open-source tools like h-Hadoop, Spark, and Hive.

EM provides managed clusters with automatic scaling, integration with S3 for storage, and support for a wide range of bi@ eata processing frameworks. It offers flexit>ility and cost-effectiveness for

-----.. processimg large datasets.

Amazon Kinesis is a platform for real-time data streaming and analytics, providing powerf?I tools for processing and analyzing large streams of data in

Kinesis offers services like Kinesis Data Streams for real-time data ingestion, Kinesis Data Firehose for data delivery to storage and analytics services, and Kinesis E>ata Analytics for real-time data

AWS Lambda is a server less compute sef3vice that lets you run code in response to events without provisioning or managing servers, enabling you to build scalah>le and cost-effective data

---- rocessing workflows.

Lambda offers automatic scaling, built-in fault tolerance, and integration with

arious AWS services for event-driven executi0n. It supports multiple programming languages and provides

fine-graiAed access control with 1AM.

Amazon Relational Database Service (RDS) is a managed relational database service that supports various database engines, offering scalability, high availaoility, and security for data-driven

RDS provides automated backups, patching, and failover support. It allows you t0 choose from multiple database engiRes like MySQL, PostgreSQL, and Gracie, and integrates with other AWS

- services for enhanced functionality.

Amazon DynamoDB is a fully managed N0SQL database service that provides fast a d predictable performance with seamless scalability, ideal for key-value and document data models.

DynamoDB offers single-digit millisecond response times, automatic scaling, built-in seeurity features, and global replication. It st1pports flexible data models and is OPitimizea for high-traffic applications.

AWS Fargate is a serverless compute en§ine for containers that works with Amazon EGS. It allows you to run c0ntainers without managing the under:lying infrastructure, simplifying application deployment.

Fargate handles container orchestration, scaling, and provisioning, enabling you to focus or:, application development. It integrates with ECS for task management and supports both Linux and Windows

Amazon Managed Streaming for Apache Kafl{a (MSK) is a fully managed service that makes it easy to build and run apRlications that use Apache Kafka for Ptr:oeessing streaming data.

lv'lSK provides a fully managed Kafka sef3vice with automatic scaling, data replication, and monitoring. It integrates

witn other AWS services and offers seamless migration from on-premises Kafika clusters.

Amazon AppFlow is a fully managed integration service that enables you to seeurely transfer data between AWS services and Saas applications like Salesfo ce, ServiceNow, and SAP, without

- ---writing an code.

AppPlow provides bidirectional data transfer, data transformation capabilities, ana prie-built connectors for popular Saas apRlications. It also supports encryption and data filtering to ensure secure and relevaAt data transfers.

AWS Systems Manager Parameter Store is a secure, scalable, and highly available service to centrally manage configuration data aP1d secrets as text parameters. It pr:oViiaes a simple interface to store and

_ retrieve configuration information.

Parameter Store enables you to manage cornfiguration data for applications and data engineering workflows, such as data0ase connection strings, API keys, and environment variables, ensuring se0ure and eonsistent access.

- Sachin Chandrashekhar