Category: AWS Data Engineering with Data Analytics
ETL and ELT Pipelines in AWS: A Comprehensive Guide | AWS
Introduction to ETL and ELT In the world of data processing, ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are two fundamental approaches used to manage data pipelines. These processes are crucial for data integration, enabling businesses to move data from various sources into a data warehouse, where it can be analyzed and used […]
Key Components of Hadoop in AWS: Unleashing Big Data Potential
Introduction: Hadoop is a powerful open-source framework that enables the processing of large data sets across clusters of computers. When deployed on Amazon Web Services (AWS), Hadoop becomes even more potent, as AWS provides the flexibility, scalability, and robustness needed for handling complex big data workloads. Below, we’ll explore the main components of Hadoop in […]
What is the basic knowledge to learn AWS? | 2024
Basic Knowledge Required to Learn AWS: 1. Understanding of Cloud Computing Concepts Before diving into AWS, it’s essential to have a grasp of fundamental cloud computing concepts. Cloud computing refers to the delivery of computing services like servers, storage, databases, networking, software, and analytics over the internet (“the cloud”). Familiarize yourself with the basic cloud […]
AWS Data Pipeline vs. AWS Glue: A Comprehensive Comparison | 2024
In the realm of data engineering, AWS offers multiple tools to manage and process data. Among these, AWS Data Pipeline and AWS Glue are two prominent services. Understanding their differences, strengths, and ideal use cases can help organizations choose the right tool for their data workflows. AWS Data Engineer Training Service Overview AWS Data Pipeline […]
What is AWS Data Pipeline? & Key Features, Components
AWS Data Pipeline is a web service designed to help you process and move data between different AWS compute and storage services as well as on-premises data sources at specified intervals. It is useful for data-driven workflows, allowing you to define complex data processing activities and chain them together in a reliable and repeatable way. […]
What is Amazon Athena in AWS? A Comprehensive Overview
Amazon Athena in AWS: A Comprehensive Overview Amazon Athena is an interactive query service provided by Amazon Web Services (AWS) that allows users to analyze data directly in Amazon Simple Storage Service (S3) using standard SQL. It is serverless, meaning there is no infrastructure to manage, and users only pay for the queries they run. […]
What is AWS Key Management Service (KMS)? | Key Features
AWS Key Management Service (KMS) is a managed service that enables you to create, manage, and control cryptographic keys used to encrypt and decrypt data in AWS. KMS is integrated with many AWS services and provides a high level of security to protect your data. It allows you to manage encryption keys for your applications […]
Step-by-Step Guide to ETL on AWS: Tools, Techniques, and Tips
ETL (Extract, Transform, Load) is a critical process in data engineering, enabling the consolidation, transformation, and loading of data from various sources into a centralized data warehouse. AWS offers a suite of tools and services that streamline the ETL process, making it efficient, scalable, and secure. This guide will walk you through the steps of […]
What are The Best Tools used for AWS Data Engineering?
Tools Used for AWS Data Engineering Amazon Web Services (AWS) offers comprehensive tools and services tailored for data engineering. These tools help data engineers collect, store, process, and analyse large volumes of data efficiently. Below is an overview of the key AWS tools used in data engineering, along with their functionalities and use cases. AWS […]
Introduction and What is Amazon DynamoDB?
What is Amazon DynamoDB? Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS). It is designed to deliver high performance at any scale, offering seamless scalability, low latency, and a flexible data model. DynamoDB is ideal for applications that require consistent, single-digit millisecond response times for any scale of […]