Remove Data Integration Remove Data Processing Remove Definition Remove Metadata
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How Cargotec uses metadata replication to enable cross-account data sharing

AWS Big Data

For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed.

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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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Why Enterprise Data Lineage is Critical for the Success of Your Modern Data Stack

Octopai

If you want to know why a report from Power BI delivered a particular number, data lineage traces that data point back through your data warehouse or lakehouse, back through your data integration tool, back to where the data basis for that report metric first entered your system.

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Top 10 Data Lineage Podcasts, Blogs, and Magazines

Octopai

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. Agile Data. Another podcast we think is worth a listen is Agile Data. Malcolm Chisholm.

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What is Data Mapping?

Jet Global

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Definition and Descriptions.

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

Andrew White

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Much as the analytics world shifted to augmented analytics, the same is happening in data management. I suspect there is much less Maverick to synthetic data today. I would have an inquiry with our data management team.