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data-fabric-is-an-integrated-layer-of-connected-data (1)
What is Data Fabric?
Source Data fabric is a unified layer that seamlessly connects diverse data sources, including relational databases, data warehouses, data lakes, cloud stores, and apps. By integrating...
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Data Warehouse vs Data Lake vs Data Lakehouse
Data Warehouse vs Data Lake vs Data Lakehouse
“Data Warehouse vs Data Lake vs Data Lakehouse” is a topic that often confuses many people. In this blog, we will cover everything you need to know about the architecture...
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What are transactional databases?
What are Transactional Databases?
How Does a Transactional Database Work? Transactional Database Examples Benefits of Transactional Databases Disadvantages and Limits of Transactional Databases Differences Between...
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A concentric circle diagram showing the hierarchical relationship between AI concepts. From the outermost to the innermost circle: Artificial Intelligence (AI), Machine Learning (ML), Generative AI (Gen AI), and Large Language Model (LLM).
Understanding Artificial Intelligence Hierarchy: How AI, ML, Gen AI, and LLM Are Related
What is Artificial Intelligence (AI)? Historical Context Artificial Intelligence (AI) Applications What is Machine Learning (ML)? Core Techniques in Machine Learning (ML) What is...
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DAG Scheduling in Apache Airflow
Understanding DAG Scheduling in Apache Airflow
Hey there! Ready to dive into the world of Apache Airflow and make your workflows run like a charm? Let’s explore how to schedule your Directed Acyclic Graphs (DAGs) effectively. We’ll...
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ETL VS ELT VS ELTP
What are the differences between ETL, ELT, and ELTP?
The differences between ETL, ELT, and ELTP methodologies highlight the evolution of data integration strategies over the past few decades. These advancements have given rise to three...
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Apache Airflow
Apache Airflow Tutorial: Architecture, Concepts, and How to Run Airflow Locally With Docker
Apache Airflow is an open-source platform that provides a way to programmatically author, schedule, and monitor workflows. It is widely used in the industry to manage complex data...
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How Uber use Apache Kafka and Presto for Data Analysis
How Uber Harnesses the Power of Presto and Apache Kafka for Data Analysis
At Uber, data is at the heart of everything we do. From optimizing routes for drivers to predicting rider demand, our ability to process and analyze vast amounts of data in real-time...
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