2019 Clustering Data Lakes 
Data Science 101
NOVEMBER 11, 2019
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. SQL Server 2019 SQL Server 2019 went Generally Available. It can be used to do distributed Machine Learning on AWS. Google Cloud.
ODSC - Open Data Science
SEPTEMBER 29, 2023
Such growth makes it difficult for many enterprises to leverage big data; they end up spending valuable time and resources just trying to manage data and less time analyzing it. One way to address this is to implement a data lake: a large and complex database of diverse datasets all stored in their original format.
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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!
AWS Machine Learning Blog
MAY 15, 2023
Algorithm Selection Amazon Forecast has six built-in algorithms ( ARIMA , ETS , NPTS , Prophet , DeepAR+ , CNN-QR ), which are clustered into two groups: statististical and deep/neural network. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager.
AWS Machine Learning Blog
OCTOBER 11, 2024
These models support mapping different data types like text, images, audio, and video into the same vector space to enable multi-modal queries and analysis. data # Assing local directory path to a python variable local_data_path = ". . This bucket will be used as source for vector databases and uploading source files.
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