What is dbt? DBT, or Data Build Tool, is an open-source command-line tool released on December 10, 2021. It enables data analysts and engineers to transform data using SQL. It follows a code-first approach to data transformation, allowing users to define data transformation logic in SQL files and execute those […]
Apache Flink: Overview and Applications in Data Engineering and Analytics
What is Apache Flink? Apache Flink is an open-source stream processing framework for real-time data analytics and stream processing. It provides capabilities for processing both batch and stream data with low latency and high throughput. Flink is designed to handle stateful computations, fault tolerance, and event time processing, making it […]
Apache Kafka: Overview and Applications in Data Engineering and Analytics
What is Apache Kafka? Apache Kafka is an open-source distributed event streaming platform designed to handle high-throughput, fault-tolerant messaging in real-time. Originally developed by LinkedIn, Kafka provides a unified, durable, and scalable solution for building real-time data pipelines and streaming applications. Usage in Data Engineering and Analytics: Pros of Apache […]
MySQL Innards
MySQL is a popular open-source Relational Database Management System (RDBMS) that is widely used for storing and managing structured data. To understand the internals of MySQL, let’s dive into its key components and how they work together: Understanding these key components helps you grasp the internals of MySQL and how […]
Major Cloud Data Streaming Provider
Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure are three of the major cloud service providers that offer data streaming solutions. Each of these platforms provides a range of services and tools for building data streaming pipelines and real-time data processing. Here’s an overview of their respective […]
Amazon AWS Kinesis Suite
Amazon Kinesis is a suite of services offered by Amazon Web Services (AWS) that enables real-time data streaming, processing, and analysis. It’s designed for technical professionals who need to work with streaming data and build real-time data processing solutions. Here’s a technical overview of Amazon Kinesis: Amazon Kinesis is a […]
Data Streaming
Data streaming, also known as real-time data streaming or event streaming, is a method of continuously transmitting and processing data records as they are generated or received. Unlike batch processing, which processes data in predefined chunks or batches, data streaming allows for the real-time or near-real-time processing of data as […]
ETL and ELT
ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are two approaches for processing and managing data within a data integration pipeline: ETL (Extract, Transform, Load) Architecture for ETL: Commonly seen ETL Tools: ELT (Extract, Load, Transform) Architecture for ELT: Commonly seen ELT Tools: Key Differences The choice between ETL […]
Data Mesh vs Fabric vs Lake vs Warehouse
Certainly, let’s provide a comprehensive comparison of Data Mesh, Data Fabric, Data Lake, and Data Warehouse, including their definitions, key features, differences, and when to use each of them: Data Mesh Data Mesh is an architectural approach that promotes decentralized ownership and management of data across an organization. It treats […]
Data Lakes vs Warehouses
Data lakes and data warehouses are both storage solutions used in the field of data management, but they serve different purposes and have distinct characteristics. Here’s a comparison of data lakes vs. data warehouses: In practice, organizations may use both data lakes and data warehouses in a complementary manner. Data […]