📌 Introduction & Overview What is a Data Warehouse? A Data Warehouse (DW) is a centralized repository designed to store, manage, and analyze vast amounts of structured data from multiple sources. It is optimized for querying and reporting, rather than transaction processing. Unlike traditional databases used in OLTP (Online Transaction Processing), data warehouses are designed … Read more
1. Introduction & Overview In the realm of DevSecOps, the need for scalable, secure, and cost-effective data storage that can accommodate varied data types from multiple pipelines is critical. This is where the concept of a Data Lake becomes highly relevant. Why Focus on Data Lakes in DevSecOps? 2. What is a Data Lake? Definition: … Read more
1. Introduction & Overview What is a Relational Database? A Relational Database is a type of database that stores data in tables (also called relations), where each table consists of rows and columns. These databases use Structured Query Language (SQL) for defining and manipulating data. Relationships between tables are maintained via foreign keys, ensuring data … Read more
1. Introduction & Overview What is AWS Glue? AWS Glue is a fully managed serverless data integration service provided by Amazon Web Services. It simplifies the process of discovering, preparing, and combining data for analytics, machine learning (ML), and application development. Glue is particularly useful for creating, running, and monitoring ETL (Extract, Transform, Load) pipelines … Read more
1. Introduction & Overview What is Azure Data Factory? Azure Data Factory (ADF) is a cloud-based ETL (Extract, Transform, Load) and data integration service provided by Microsoft Azure. It allows users to create, schedule, and orchestrate data pipelines that move and transform data from various sources to designated destinations. History or Background Why is it … Read more
1. Introduction & Overview What is Matillion? Matillion is a cloud-native ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) platform designed for data transformation and integration workflows. It is purpose-built for modern data warehouses like Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse. In the DevSecOps context, Matillion plays a significant role in secure, … Read more
1. Introduction & Overview What is Fivetran? Fivetran is a fully managed data pipeline platform that automates the process of extracting, loading, and transforming (ELT) data from various sources into cloud data warehouses and lakes. It supports numerous integrations such as PostgreSQL, Salesforce, S3, Google Sheets, and more. Fivetran simplifies modern data stack management by … Read more
1. Introduction & Overview What is Informatica? Informatica is a leading Enterprise Data Integration platform widely used for data extraction, transformation, and loading (ETL). It facilitates seamless data movement across on-premise and cloud environments and provides a suite of tools for data quality, governance, security, and real-time analytics. In the context of DevSecOps, Informatica enables … Read more
1. Introduction & Overview What is Talend? Talend is a robust, open-source data integration and transformation platform. It provides tools to extract, transform, and load (ETL) data across cloud, on-premises, and hybrid environments. In the context of DevSecOps, Talend plays a crucial role in secure, automated data pipelines, enabling governance, compliance, and rapid integration of … Read more
1. Introduction & Overview What is Dagster? Dagster is an open-source data orchestrator for machine learning, analytics, and ETL (Extract, Transform, Load) workflows. It focuses on writing, deploying, and monitoring data pipelines in a structured, modular, and testable way. Unlike traditional orchestrators (e.g., Airflow), Dagster promotes a software engineering mindset—which aligns closely with DevSecOps principles … Read more