Business Objectives Data Transformation Data Warehouse 
Wayne Yaddow
FEBRUARY 18, 2025
Selecting the strategies and tools for validating data transformations and data conversions in your data pipelines. Introduction Data transformations and data conversions are crucial to ensure that raw data is organized, processed, and ready for useful analysis.
AWS Big Data
AUGUST 9, 2024
With the ever-increasing volume of data available, Dafiti faces the challenge of effectively managing and extracting valuable insights from this vast pool of information to gain a competitive edge and make data-driven decisions that align with company business objectives. We started with 115 dc2.large
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AWS Big Data
AUGUST 1, 2024
Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities.
Sisense
MAY 11, 2021
Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent. Here at Sisense, we think about this flow in five linear layers: Raw This is our data in its raw form within a data warehouse.
Ontotext
FEBRUARY 12, 2024
This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. However, data mesh is not about introducing new technologies.
AWS Big Data
JULY 31, 2023
This solution decouples the ETL and analytics workloads from our transactional data source Amazon Aurora, and uses Amazon Redshift as the data warehouse solution to build a data mart. We use Amazon Redshift as the data warehouse to implement the data mart solution. Under Transforms , choose SQL Query.
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