Remove Data Warehouse Remove Key Performance Indicator Remove Metrics
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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics: Part 2

AWS Big Data

AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue. However, you might need to track key performance indicators across multiple jobs. Choose Add new data source.

Metrics 125
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Standard Metrics Revisited: #6: Daily, Weekly, Monthly Unique Visitors.

Occam's Razor

All web analytics tools have a smattering of metrics and key performance indicators that were created just because someone decided it would be cute to add / subtract / multiply / divide some numbers. You can learn a lot more about Visits and Unique Visitors in this post: Standard Metrics Revisited: #1: Visitors.

Metrics 107
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Data as a Product: Needs and Requirements

David Menninger's Analyst Perspectives

Data as a product is the process of applying product thinking to data initiatives to ensure that the outcome —the data product—is designed to be shared and reused for multiple use cases across the business. A data contract should also define data quality and service-level key performance indicators and commitments.

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Google Analytics Tutorial: 8 Valuable Tips To Hustle With Data!

Occam's Razor

When it comes to data analysis, you are usually more likely to see me share guidance on advanced segmentation or custom reports or advanced social metrics or controlled experiments or economic value or competitive intelligence or web analytics maturity or one of an infinite number of difficult, if hugely rewarding, things. " Boom!

Analytics 146
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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster. version cluster.

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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

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6 BI challenges IT teams must address

CIO Business Intelligence

Stout, for instance, explains how Schellman addresses integrating its customer relationship management (CRM) and financial data. “A A lot of business intelligence software pulls from a data warehouse where you load all the data tables that are the back end of the different software,” she says. “Or

IT 131