Strategies for Fitting a Data Lake into a Modern Data Architecture

McKnight Consulting Group

Whether to take data ingestion cycles off the ETL tool and the Data Warehouse or to facilitate competitive Data Science and building algorithms in the organization, the Data Lake a place for unmodeled and vast data will be provisioned widely in 2019. Though it doesn’t have to be complicated, the Data Lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the Data Swamp, but not the Data Lake! The tool ecosystem is building up around the Data Lake and soon many will have a robust Lake and Data Warehouse. We will discuss policy to keep them straight, send “horses to courses,” and keep up users’ confidence in the Data Platforms.
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Spotlight

At Trifacta, we’re focused on building software that helps individuals and organizations unlock the potential of their data by providing a new approach to how data is explored and prepared for analysis.

OTHER ON-DEMAND WEBINARS

Riding the Data Privacy Wave: How Will You Stay Afloat?

IBM

Data privacy regulation is bigger than just GDPR. Other countries and jurisdictions are enacting their own versions of the data privacy regulation, each with subtle nuances - such as the California Consumer Privacy Act (CCPA), Lei Geral de Proteção de Dados (LGPD), and more - and that’s on top of existing privacy regulations. Moreover, consumers increasingly expect more protection for their sensitive information. A recent IBM-Harris poll of 10,000 individuals revealed that 75% of consumers won’t buy from companies they don’t trust no matter how great their product or service.
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Accelerating Machine Learning on Databricks

CartoDB

Learn how you can combine CARTO and Python for spatial data science from the comfort of your own Jupyter notebook. In this technical webinar, Andy Eschbacher (Data Scientist at CARTO) and Joe Pringle (VP - North America at CARTO) show how to apply CARTOframes and CARTO's Python SDK to build powerful end-to-end spatial data science workflows. This webinar specifically focus on two areas: Using CARTO in a Jupyter notebook. Demo examples of custom data science web applications built with CARTOframes and CARTO VL.
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Predictive Analytics vs. Data Science: Why We Built One and Not the Other

In this webinar, Heap’s head of Data Science, David Robinson, will talk about why we took a data-science-led approach to insights that starts with the questions teams actually care about. He’ll also talk about how a combined quantitative + qualitative platform gives teams the predictive information they need and the context that makes that information actionable.
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Data-driven control: Access Management as a Facilitator of Business Value

There’s a pervasive perception held by many organizations that data governance or effective access management for data somehow reduces the ability to leverage and derive insight from information. This could not be further from the truth. Full control of data is necessary for both data protection and data leverage. In this webina
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Spotlight

At Trifacta, we’re focused on building software that helps individuals and organizations unlock the potential of their data by providing a new approach to how data is explored and prepared for analysis.

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