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data engineering

Home » data engineering » Page 2
AWS Glue Run Locally
Posted inAWS Data Engineering

How to Run AWS Glue Locally for ETL Processing (Step-by-Step Guide)

Introduction AWS Glue is a powerful serverless ETL (Extract, Transform, Load) service that allows data engineers to process large-scale datasets efficiently. However, running AWS Glue jobs in the cloud can…
Posted by Afzal Malik February 19, 2025
data Engineer Interview Questions
Posted inData Engineering

TCS Data Engineering Interview most asked Questions and Answers

Data engineering has become a crucial business domain in big data and cloud computing. If you are preparing for a TCS Data Engineering interview, you should be ready to tackle…
Posted by Afzal Malik February 19, 2025
structured vs. unstructured data
Posted inData Engineering

Structured vs. Unstructured Data: Key Differences and Use Cases

Introduction In today’s data-driven world, businesses generate and process massive amounts of data. However, not all data is created equal. Understanding the difference between structured and unstructured data is crucial…
Posted by Afzal Malik February 7, 2025
AWS EMR and AWS Kinesis Data Firehose
Posted inAWS Data Engineering

AWS EMR vs. AWS Kinesis Data Firehose: Choosing the Right Service for Your Use Case

Introduction AWS provides a broad range of services for handling big data and real-time streaming workloads. Two of the most commonly used services are Amazon EMR (Elastic MapReduce) and Amazon…
Posted by Afzal Malik February 7, 2025
Batch vs. Real-Time Data
Posted inData Engineering

Batch vs. Real-Time Data Processing: A Comprehensive Guide

In the world of data processing, two primary methodologies dominate the landscape: batch processing and real-time processing. Both approaches have their unique strengths, weaknesses, and use cases. Understanding the differences between them is…
Posted by Afzal Malik February 7, 2025
DynamoDB to Redshift real-time integration
Posted inAWS Data Engineering

Real-Time Data Integration: From DynamoDB to Redshift Using AWS Lambda

In today’s data-driven world, businesses need to analyze real-time data to make informed decisions. Amazon DynamoDB, a fully managed NoSQL database, is a popular choice for storing high-velocity transactional data.…
Posted by Afzal Malik February 6, 2025
s3-directory-buckets
Posted inAWS Data Engineering

AWS S3 Directory Buckets – A More Structured Approach

Amazon S3 Directory Buckets are a specialized type of S3 bucket designed to offer a hierarchical, directory-based way to organize data, much like a traditional file system. This contrasts with…
Posted by Afzal Malik February 5, 2025
Identifying data sources
Posted inAWS Data Engineering

Choosing the Right AWS Data Source: Amazon S3 vs. DynamoDB

Introduction In today's data-driven world, selecting the right data source is crucial for efficient storage, processing, and retrieval. AWS offers a variety of data sources, but two of the most…
Posted by Afzal Malik February 4, 2025
Redshift Schema Designing
Posted inAWS Data Engineering

Designing the Database Schema: A Comprehensive Guide

Introduction A well-structured database schema is the foundation of any efficient data management system. Whether you are designing a relational database for an application or a data warehouse for analytical…
Posted by Afzal Malik February 1, 2025
Searchable Non Stored Compute Field In Odoo 18 best seo search and best readable good Searchable
Posted inOdoo Technical Blogs

Searchable Non-Stored Compute Fields in Odoo 18.

Odoo 18 provides powerful tools to define computed fields, which can be used to display dynamic values. However, one common challenge developers face is making these computed fields searchable when…
Posted by Aarish Malik February 1, 2025

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