Data Science 101

NOVEMBER 7, 2019

Azure Synapse. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. R Support for Azure Machine Learning. Azure Quantum.

Data Science 106

Data Science Azure SQL Machine Learning 106

Data Science 101

NOVEMBER 11, 2019

Microsoft Azure. 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. It combines data warehousing and data lakes into a simple query interface for a simple and fast analytics service.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

phData

NOVEMBER 8, 2024

Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. However, this feature becomes an absolute must-have if you are operating your analytics on top of your data lake or lakehouse. It can also be integrated into major data platforms like Snowflake. Contact phData Today!

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

DagsHub

DECEMBER 11, 2023

Adding new data to the storage requires pulling the existing data, then calculating the new hash before pushing back the whole data. Dolt Created in 2019, Dolt is an open-source tool for managing SQL databases that uses version control similar to Git. This can also make the learning process challenging.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

Dataconomy

SEPTEMBER 4, 2023

Organizations must diligently manage access controls, encryption, and data protection to mitigate risks. For example, the 2019 Capital One breach exposed over 100 million customer records, highlighting the need for robust security measures. Ensure that data is clean, consistent, and up-to-date.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203