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Efficient data modeling is introduced to be necessary for the
optimization of query performance and ensuring data accuracy
according to the Data Analytics knowledge shared by institutes like
CETPA Infotech. Developers may use tools such as Apache Hive,
Google BigQuery, or Azure Synapse Analytics for creating a well-
structured data model which suits their requirements. Further, data
preparation includes cleaning, enrichment, and transformation of
data into a format that suits analyses.
For the extraction of meaningful insights from
data, the widely popular Data Analytics
Training in Noida encourages the incorporation
of advanced analytics and machine learning
abilities. Cloud platforms are known to offer
managed services for Machine Learning like
AWS SageMaker, Azure Machine Learning, or
Google Cloud AI Platform.
Creating a Successful Cloud-Based Modern Data Analytics Platform.pptx
Creating a Successful Cloud-Based Modern Data Analytics Platform.pptx
Creating a Successful Cloud-Based Modern Data Analytics Platform.pptx

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Creating a Successful Cloud-Based Modern Data Analytics Platform.pptx

  • 1.
  • 2.
  • 3.
  • 4.
  • 5. Efficient data modeling is introduced to be necessary for the optimization of query performance and ensuring data accuracy according to the Data Analytics knowledge shared by institutes like CETPA Infotech. Developers may use tools such as Apache Hive, Google BigQuery, or Azure Synapse Analytics for creating a well- structured data model which suits their requirements. Further, data preparation includes cleaning, enrichment, and transformation of data into a format that suits analyses.
  • 6.
  • 7.
  • 8. For the extraction of meaningful insights from data, the widely popular Data Analytics Training in Noida encourages the incorporation of advanced analytics and machine learning abilities. Cloud platforms are known to offer managed services for Machine Learning like AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform.