Remove B2B Remove Data Architecture Remove Data Governance
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New Practices in Data Governance and Data Fabric for Telecommunications

Cloudera

The management of data assets in multiple clouds is introducing new data governance requirements, and it is both useful and instructive to have a view from the TM Forum to help navigate the changes. . What’s new in data governance for telco? In the past, infrastructure was simply that — infrastructure.

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Public or On-Prem? Telco giants are optimizing the network with the Hybrid Cloud

Cloudera

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. Branches range by products, namely B2C loans, B2B loans, and formerly also B2C mortgages. The departments include teams from engineering to sales and marketing.

Data Lake 103
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Salesforce certification guide: Roles, paths, exams, cost, training, requirements

CIO Business Intelligence

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance. Prerequisites include earning Salesforce Application Architect certification (see above).

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Data Mesh 101: How Data Mesh Helps Organizations Be Data-Driven and Achieve Velocity

Ontotext

A centralized data engineering team focuses on building a governed self-serviced infrastructure, while domain teams use the services to build full-stack data products. However, data mesh is not about introducing new technologies.

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Get maximum value out of your cloud data warehouse with Amazon Redshift

AWS Big Data

We needed to be able to write or load data into our data storage solution very quickly without interfering with the reading and querying of the data at the same time.” Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up.

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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases. Much of the analytics architecture takes place at the solution architecture level since we should be looking at business process and decision design. – Data (and analytics) governance remains a challenge.