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An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. However, instead of using Hadoop, data lakes are increasingly being constructed using cloud object storage services. Which one is right for your business? Let’s take a closer look.
million by 2028. It involves developing data pipelines that efficiently transport data from various sources to storage solutions and analytical tools. OLAP (Online Analytical Processing): OLAP tools allow users to analyse data from multiple perspectives. ETL is vital for ensuring data quality and integrity.
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