Data Science 101

NOVEMBER 11, 2019

Welcome to the first beta edition of Cloud Data Science News. This will cover major announcements and news for doing data science in the cloud. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing.

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Cloud Data Data Science Azure Clustering 95

Data Science 101

NOVEMBER 22, 2019

Here are this week’s news and announcements related to Cloud Data Science. Google is launching Explainable AI which quantifies the impact of the various factors of the data as well as the existing limitations. AWS Storage Day On November 20, 2019, Amazon held AWS Storage Day. Announcements.

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Cloud Data Data Science Azure AWS 99

AWS Machine Learning Blog

NOVEMBER 1, 2024

AWS can play a key role in enabling fast implementation of these decentralized clinical trials. By exploring these AWS powered alternatives, we aim to demonstrate how organizations can drive progress towards more environmentally friendly clinical research practices.

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Data Science 101

JANUARY 3, 2020

Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego. A First Look at AWS Data Exchange (Webinar) AWS Data Exchange is a product for finding and using third party data. It allows one to copy the data into an S3 bucket for analyzing. No significant news to report.

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Data Science Cloud Data AWS Machine Learning 78

Data Science 101

NOVEMBER 7, 2019

Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Here they are in my order of importance (based upon my opinion).

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Data Science Azure SQL Machine Learning 106

Alation

NOVEMBER 15, 2021

The Data Management Capability Assessment Method (DCAM) framework is used to pressure-test data management procedures and demonstrate good practices to regulators. The working group produced a new Cloud Data Management Framework for sensitive data, which was announced earlier this month.

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Cloud Data Azure Tableau Analytics 52

Dataconomy

SEPTEMBER 4, 2023

It’s crucial to be aware of these potential downsides to make the most of your cloud analytics journey: Security concerns : While cloud providers invest heavily in security, breaches can still occur. Organizations must diligently manage access controls, encryption, and data protection to mitigate risks.

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