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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 …
Comparison among Data warehouse, Data lakes and Data lakehouse Read More »
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 …
Tale of Three Data Houses: Data WAREHOUSE, Data Lake & Data LakeHOUSE Read More »
Key takeaways:Delta Lake, an optimized storage layer, offers advantages like ACID transactions, schema enforcement, and data versioning. Connecting to Delta Lake may be a challenge for many data engineers. This article introduces a straightforward solution using the widely adopted and popular Python and FastAPI framework. Introduction Delta Lake Delta Lake, developed by Databricks and released …
Key TakeawaysThe data lakehouse plays a pivotal role in today’s data landscape by addressing the challenges of handling big data, enabling real-time analytics, fostering data exploration, supporting advanced analytics and machine learning, ensuring data governance, promoting agility, and offering cost efficiency. It empowers organizations to harness the full potential of their data and gain valuable …
