2019 Cloud Data Data Lakes 
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.
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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phData
NOVEMBER 8, 2024
Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?
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.
AWS Machine Learning Blog
NOVEMBER 1, 2024
For instance, in 2021, we saw a significant increase in awareness of clinical research studies seeking volunteers, which was reported at 63% compared to 54% in 2019 by Applied Clinical Trials. Instead, a core component of decentralized clinical trials is a secure, scalable data infrastructure with strong data analytics capabilities.
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