Remove 2022 Remove Data Governance Remove Data Strategy Remove Data Warehouse
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AWS Lake Formation 2022 year in review

AWS Big Data

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value. In the rest of this post, we are happy to share the progress we made in 2022.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

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Creating Data Value With a Decentralized Data Strategy

CIO Business Intelligence

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. Modern enterprises have to adopt a dual strategy.”.

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How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

Data-Driven Everything engagement Altron has provided information technology services since 1965 across South Africa, the Middle East, and Australia. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

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Fabrics, Meshes & Stacks, oh my! Q&A with Sanjeev Mohan

Alation

The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Architectures became fabrics.

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How To Liberalize Data Access To Empower Data Users

BI-Survey

Data culture eats data strategy for breakfast” has become a popular saying among data and analytics managers and executives. Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it.