Remove Data Processing Remove Data Quality Remove Data Strategy Remove Technology
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Top 10 Data Lineage Podcasts, Blogs, and Magazines

Octopai

This podcast centers around data management and investigates a different aspect of this field each week. Within each episode, there are actionable insights that data teams can apply in their everyday tasks or projects. The host is Tobias Macey, an engineer with many years of experience. Agile Data. A-Team Insight.

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How to build a successful AI strategy

IBM Big Data Hub

A robust AI strategy will enable these organizations to navigate the complexities of integrating AI, adapt quickly to technological advancements and optimize their processes, operational efficiency and overall growth. What is an AI strategy? Establish a data governance framework to manage data effectively.

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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

It must not attempt to force or predict how the data is to be used but to enable that decision to be made by today’s user (and tomorrow’s) while still maintaining organization appropriate access control and security. Consider using data catalogs for this purpose. Clean data to ensure data quality.

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The power of remote engine execution for ETL/ELT data pipelines

IBM Big Data Hub

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. As a result, users boost pipeline performance while ensuring data security and controls. However, businesses scaling AI face entry barriers.

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Modern Data Architecture for Telecommunications

Cloudera

The result has been an extraordinary volume of data redundancy across the business, leading to disaggregated data strategy, unknown compliance exposures, and inconsistencies in data-based processes. . If you’re working in a telco today, what’s your digital strategy to tackle these challenges?

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

AWS Big Data

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. AWS services like AWS Lake Formation in conjunction with Atlan help govern data access and policies.

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Common Data Governance Challenges & Their Solutions

Alation

Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. As enterprises struggle to juggle all three, data governance offers a vital framework. Why Do Data Silos Happen? New data sources.