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Setting Up a Data Integration Pipeline for Repeatable Analytics Delivery

GoodData Corporation

As part of its platform, GoodData provides a fault-tolerant, high performance and scalable system for data integration. While built for large-scale analytic applications, it is a metadata-driven, modular system that can start small and grow with your business. In this session, Cameron demonstrates how to set up and schedule regular data extraction from SQL databases and other sources. He also covers some of the issues requiring attention in data extraction such as data merging and incremental loads. A future session will cover transformations and data enrichment along with data distribution.
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Spotlight

2018 Predictions in Data and Analytics

We interviewed a selection of top data and analytics professionals at our Chief Analytics Officer, Fall event in Boston in October 2017, to find out what their predictions are for data and analytics in 2018. Corinium exists to support and inspire those executives driving the transformation of the digital economy. We do this by connecting you with the right people and the best ideas. With forums across six continents and a community of over 20,000 senior executives, we are able to bring you unique networking opportunities with decision-makers and deeply researched content that accelerates you towards what’s next.

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Using DataOps for Data Pipeline Engineering Quality

tdwi.org

Data pipelines facilitate information flows and data exchange for a growing number of operational scenarios, including data extraction, transformation, and loading ETL into data warehouses and data marts, data migrations, production of BI reports, and application interoperability. When data engineers develop data pipelines, they may devise a collection of tests to guide the development process, but ongoing tests are not often put in place once those pipelines are put into production.
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A Better Alternative: Advanced Analytics and Alternative Data in Consumer Lending

The unsecured personal loan market is hot and growing rapidly. It is also prime testing grounds for the use of alternative sources of data and advanced analytics in marketing and loan decisioning, given the number of traditional and non-traditional lenders competing to meet consumer demand. Join Equifax and Aite Group as we dis
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Using DataOps for Data Pipeline Engineering Quality

tdwi.org

Data pipelines facilitate information flows and data exchange for a growing number of operational scenarios, including data extraction, transformation, and loading ETL into data warehouses and data marts, data migrations, production of BI reports, and application interoperability. When data engineers develop data pipelines, they may devise a collection of tests to guide the development process, but ongoing tests are not often put in place once those pipelines are put into production.
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Navigating the course of data center management comes with a multitude of obstacles. Most IT professionals must balance maximizing uptime, improving security, optimizing operations and meeting budget realities. In the case of data center maintenance, what is the best route to take after initial warranty support expires? Uptime a
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More On-Demand Webinars

Spotlight

2018 Predictions in Data and Analytics

We interviewed a selection of top data and analytics professionals at our Chief Analytics Officer, Fall event in Boston in October 2017, to find out what their predictions are for data and analytics in 2018. Corinium exists to support and inspire those executives driving the transformation of the digital economy. We do this by connecting you with the right people and the best ideas. With forums across six continents and a community of over 20,000 senior executives, we are able to bring you unique networking opportunities with decision-makers and deeply researched content that accelerates you towards what’s next.

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