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Modern Data Architectures : Jordan Tigani of MotherDuck on Office Hours

Tom Tunguz

Jordan’s path through data starts with being the founding tech lead on Google Big Query to SingleStore’s Chief Product Officer to MotherDuck’s CEO. He wrote the Big Data is Dead , explaining that a power law applies to most companies’ data. This also works in reverse.

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Preset Cloud - The Visualization Layer for the Modern Data Stack

Tom Tunguz

At Redpoint, we believe the 2020s will be the decade of data. Today, we’re announcing our partnership with Preset.io, a company providing the visualization layer for the modern data stack. announces Preset Cloud, a fully hosted cloud service for Apache Superset, is generally available. In addition, Preset.io

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Cloud Data Lakes - The Future of Large Scale Data Analysis

Tom Tunguz

Cloud Data Lakes are a trend we’ve been excited about for a long time at Redpoint. This modern architecture for data analysis, operational metrics, and machine learning enables companies to process data in new ways. The cloud data lake architecture enables companies to achieve scale, flexibility, and accessibility.

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Clouded Judgement 4.26.24 - Azure Gives Positive Infra Software Preview

Clouded Judgement

Every week I’ll provide updates on the latest trends in cloud software companies. Subscribe now Azure Report - Cloud Infra Looks Good! If I take my best guess at pulling out AI Services from overall Azure, I get to the data in the below graph. Subscribe now Share Clouded Judgement Leave a comment

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

In order to maintain a competitive advantage, CTOs and product managers are shifting their products to the cloud. Many do this by simply replicating their current architectures in the cloud. Join Ahmad Jubran, Cloud Product Innovation Consultant, and learn how to adapt your solutions for cloud models the right way.

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Integrating Health Cloud and Data Cloud

CloudKettle

Healthcare providers must implement robust security measures to protect sensitive patient data from breaches and unauthorized […] The post Integrating Health Cloud and Data Cloud appeared first on CloudKettle.

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Integrating Financial Services Cloud and Data Cloud

CloudKettle

The Customer Data Problem The vast majority of Financial Services organizations today share a common problem: customer data is siloed across departments and systems. Imagine an investment firm that offers a portfolio of financial products like mutual funds, stocks and retirement planning services.

Cloud 52
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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.