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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Spotlight

The key to effectively safeguarding business platforms and keeping customers safe today is by stopping malicious bots. Unfortunately, due to rapid advancements in image recognition software, bots can easily beat traditional, legacy CAPTCHA challenges, so it’s important to ensure the vendor you select can sufficiently protect you

OTHER ON-DEMAND WEBINARS

Data and Analytics Trends for 2019 and Beyond: A Panel Discussion

Gartner

Discussion Topics: - How effective are your current data and analytics initiatives - What trends will most impact how you utilize data and analytics in 2019 and beyond - What must you do to maximize data and analytics in your organization
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Databases vs Hadoop vs Cloud Storage

mcknightcg

Relational databases are old technology, right? Thirty years is a long time for a technology foundation to be as active as relational databases, but, like NFL coaches, we must “tolerate them until we can replace them.” Are their replacements here? In this webinar, we say no. Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage options like a kid in a candy store? We’ll discuss Hadoop’s continued potential relevance and the cloud storage option that seems vital. Use what when? This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
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Rapid Response Analytics Accelerates Analytics ROI

Health Catalyst Inc

Rapid Response Analytics (RRA), an application suite that consists of two elements: curated, modular data kits called DOS™ Marts and Population Builder, a powerful self-service tool that lets any type of user, from physician executive to frontline nurses and population health teams explore their data and quickly build populations without needing to know how to write SQL and data science code. RRA increases an analytics team’s productivity by up to 10x and reduces its time to develop analytics by as much as 90 percent. Analysts can spend more time focusing on key strategic analysis and less time on repetitive tasks that can lead to inconsistent results and a backlog of requests. Learning Objectives: Discover how RRA is like a meal delivery kit that allows you to take components and customize them to quickly tailor and deliver meaningful insights.
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Fanatics Ingests Streaming Data to a Data Lake on AWS

awscloud.com

Fanatics, a popular sports apparel website and fan gear merchandiser, needed to ingest terabytes of data from multiple historical and streaming sources transactional, e-commerce, and back-office systems to a data lake on Amazon S3. Once ingested, the data would be analyzed to better identify, predict, and fulfill customer needs related to the products Fanatics offers in over 300 online and offline stores.
Watch Now

Spotlight

The key to effectively safeguarding business platforms and keeping customers safe today is by stopping malicious bots. Unfortunately, due to rapid advancements in image recognition software, bots can easily beat traditional, legacy CAPTCHA challenges, so it’s important to ensure the vendor you select can sufficiently protect you

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