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The Google Cloud Platform ecosystem provides a serverless data processing service, Dataflow, for running batch and streaming data feeds.
Data pipeline is the pillar of digital systems. They convert, pass and save data and provide important highlights.
ETL is the pillar of building a Data pipeline. Learn to integrate multiple tools to optimally extract value with cost-effective approaches.
PySpark is A tool to handle large-scale data processing. To store and process data, this PySpark library employs data parallelism technique.
Data modelling is the well-defined process of creating a data model to store the data in a database or Modern Data warehouse (DWH) system.
A big Query data warehouse provides global availability of data, can be connected to the other Google Services.
In this article, you will learn how to build an ETL data pipeline to convert a CSV file into JSON File with Hierarchy and array.
In this article we will be unravelling in depth about the snowflake architecture key concepts for data warehouse.
In this article we will be learning all about the complete guide related to Data Warehousing in the year of 2024.
In this article, you will learn about data warehouse modeling. It is the process of constructing a data warehouse containing essential data.
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