Remove Data Architecture Remove Data Processing Remove Data Strategy Remove Data Warehouse
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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

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Empowering data-driven excellence: How the Bluestone Data Platform embraced data mesh for success

AWS Big Data

Each data producer within the organization has its own data lake in Apache Hudi format, ensuring data sovereignty and autonomy. This enables data-driven decision-making across the organization. AWS Glue – Bluestone used the AWS Glue PySpark environment for implementing data extract, transform, and load (ETL) processes.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Data can be organized into three different zones, as shown in the following figure.

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The Multifaceted Value Proposition of the Cloudera Data Platform

Cloudera

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Technology cost reduction / avoidance. AWS, Google or Azure) and thus allow for execution of a use case wherever it is most costs effective to do so.