Remove 2021 Remove Data mining Remove Data Warehouse Remove Unstructured Data
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How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

Before implementing a data lake on AWS, Ruparupa had no infrastructure capable of processing the volume and variety of data formats in a short time. Data had to be manually processed by data analysts, and data mining took a long time. Because of the fast growth of data, it took 1–1.5

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!