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

AWS Big Data

BMS’s EDLS platform hosts over 5,000 jobs and is growing at 15% YoY (year over year). EDLS job steps and metadata Every EDLS job comprises one or more job steps chained together and run in a predefined order orchestrated by the custom ETL framework. It retrieves the specified files and available metadata to show on the UI.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. These visualizations and reports can be securely shared with teams across the organization.

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Gartner Data & Analytics Summit 2022 in London: 3 Key Takeaways

Alation

Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. Establish what data you have. And its applications are growing.

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Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO Business Intelligence

There were also a host of other non-certified technical skills attracting pay premiums of 17% or more, way above those offered for certifications, and many of them centered on management, methodologies and processes or broad technology categories rather than on particular tools.

Testing 98
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. 4 – Data Reporting.

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Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting. It allows you to set up report subscriptions and alerts that are easy to share throughout the company. It comes with organizational features that support working in a large team, including metadata for tables.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Iceberg employs internal metadata management that keeps track of data and empowers a set of rich features at scale. The transformed zone is an enterprise-wide zone to host cleaned and transformed data in order to serve multiple teams and use cases. Data can be organized into three different zones, as shown in the following figure.

Data Lake 105