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1. Introduction & Overview What is Delta Lake? Delta Lake is an open-source storage layer that brings ACID (Atomicity, Consistency, Isolation, Durability) transactions to Apache Spark and big data workloads. It sits on top of existing data lakes (like S3, ADLS, or HDFS) and transforms them into reliable, scalable, and secure data repositories. Delta Lake … Read more

1. Introduction & Overview What is Snowflake? Snowflake is a cloud-native data warehousing and analytics platform that supports data storage, processing, and analysis. Built on top of Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Snowflake allows users to store and analyze data using scalable, distributed compute and storage layers. It is … Read more

BigQuery in DevSecOps 1. Introduction & Overview What is BigQuery? BigQuery is a fully managed, serverless, and highly scalable enterprise data warehouse provided by Google Cloud Platform (GCP). It allows for real-time and ad-hoc querying of massive datasets using Standard SQL syntax. History or Background Why Is It Relevant in DevSecOps? BigQuery plays a critical … Read more

1. Introduction & Overview What is Amazon Redshift? Amazon Redshift is a fully managed, petabyte-scale cloud data warehouse service provided by AWS. It allows for fast query performance using SQL-based interfaces on large volumes of structured and semi-structured data. History & Background Why is Redshift Relevant in DevSecOps? DevSecOps integrates security into DevOps workflows. Redshift … Read more

1. Introduction & Overview What is OLTP? OLTP (Online Transaction Processing) refers to a class of systems that manage transaction-oriented applications, typically for data entry and retrieval processes. OLTP systems are characterized by a large number of short online transactions (INSERT, UPDATE, DELETE). History or Background Why is it Relevant in DevSecOps? OLTP systems are … Read more

Introduction & Overview What is OLAP? OLAP (Online Analytical Processing) refers to a category of tools and technologies that enable users to analyze large volumes of multidimensional data interactively and rapidly. It supports complex analytical queries, reporting, data mining, and business intelligence (BI) by organizing data in cubes rather than traditional flat tables. In DevSecOps, … Read more

1. Introduction & Overview What is a Lakehouse? A Lakehouse is a modern data management architecture that combines the best features of data lakes (cost-efficient storage for raw data) and data warehouses (structured, performant querying). It enables unified access to structured, semi-structured, and unstructured data using a single platform. History or Background Why is it … Read more

📌 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