Setting Up a Data Integration Pipeline for Repeatable Analytics Delivery

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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OTHER ON-DEMAND WEBINARS

Data Governance Strategies

DATAVERSITY

Much like project management and home improvements, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance can be explained as “managing data with guidance.” In general, the perceived utility of these programs increases with the specificity of desired data and processing improvements. Whether restarting or starting your Data Governance programs, it is critical to be guided by a periodically revised Data Strategy that links support for organizational strategy to specific operational data improvements. Understanding these and other aspects of governance is necessary to eliminate the ambiguity that often surrounds the implementation of effective Data Management and stewardship programs.
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Building a Modern Operational Data Warehouse

tdwi.org

With data coming from so many different sources nowadays (both old and new, both internal and external), it is inevitable that data will arrive in many different structures, schema, and formats, with other variables for latency, concurrency, and requirements for storage and processing. When data types are extremely diverse and combined, we now call it “hybrid data.” This usually drives users to deploy many types of databases and different platforms to capture, store, process, and analyze the data, which in turn results in hybrid data management architectures.
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Introduction to Product Analytics with The Product Folks

What is product analytics and how does it differ from marketing/web analytics or even business intelligence? Which option answers the questions you’re trying to ask? Just why, and how are digital-first businesses using product analytics?
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Realizing the Value of Big Data through Data Quality

infogix

Third, we argue that to advance theories on big data value realization, the IS field .For example, in a research facility, policies on information governance
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