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End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

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Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. Another factor that’s driving a move back to private cloud is predictability of cost,” Scott says.

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How to Deliver Data Quality with Data Governance: Ryan Doupe, CDO of American Fidelity, 9-Step Process

Alation

This starts by determining the critical data elements for the enterprise. These items become in scope for the data quality program. Step 2: Data Definitions. Here each critical data element is described so there are no inconsistencies between users or data stakeholders. Step 4: Data Sources.

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erwin® Data Modeler by Quest® R12.0: Leading the way with a new DevOps GitHub capability

erwin

DevOps GitHub integration via Mart. Data modelling data definition language (DDL) can now be integrated into a GitHub/Git repository via Mart. Are you ready to try out the newest version of erwin Data Modeler? DevOps GitHub integration via Mart. Get a free trial of erwin Data Modeler.

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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. Malcolm Chisholm.

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Modernize your ETL platform with AWS Glue Studio: A case study from BMS

AWS Big Data

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

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Dresner’s Point: Ready for the “2014ization” of Business Intelligence?

Howard Dresner

Instead, let’s kick start the year with some definite plans and aspirations of companies in the business intelligence sphere. Definitely, they responded. Another tweeted, “Through the use of location analytics organization can see new patterns in their data that graphs and charts don’t reveal.”