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Comparison among Data warehouse, Data lakes and Data lakehouse

In this blog we know about Data Warehouse, Data Lakes and Data Lakehouse and Compare there pros and cons of all the Infrastructures Data Warehouse A relational database management system (RDBMS) concept called a data warehouse was created to address the needs of transaction processing systems. Any centralised data repository that may be searched for …

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Spring Cloud GCP – Cloud Storage

Spring Cloud GCP The Spring framework! It’s not just popular, it’s the ultimate go-to framework for developers all around the world. Since its inception, Spring has been revolutionizing the Java landscape with its versatility and reliability. And now, enter Spring Cloud GCP, the result of an extraordinary collaboration between Spring and Google Cloud Platform. This …

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The Importance of Data Visualization

Introduction: Welcome to our blog about the importance of data visualization! In today’s fast-paced, data-driven world, we are constantly bombarded with information. Making sense of this massive amount of data can be difficult. This is where the visualization of data comes into the picture. It is a powerful tool that enables us to extract or transform …

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Tale of Three Data Houses: Data WAREHOUSE, Data Lake & Data LakeHOUSE

Before diving into the technical aspect of each of the three terms, let’s take an analogy of building a library to better understand these three terms. Analogy: Building a Library Traditional Library Suppose you are building a library and you started with a traditional idea that your library should have a well-organized structure, with books …

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An idea of Zero ETL with Open-source stacks

Key takeaways:Zero ETL is being introduced by AWS, Google, Databricks, and others as a future trend in the field of data engineering. However, current solutions are only available for projects with large budgets and rely on proprietary software. This article aims to share an idea for implementing Zero ETL using the open-source ClickHouse. I. Introduction …

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