2019 Azure Data Modeling 
Data Science Blog
NOVEMBER 15, 2023
New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.
phData
MAY 25, 2023
One big issue that contributes to this resistance is that although Snowflake is a great cloud data warehousing platform, Microsoft has a data warehousing tool of its own called Synapse. In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform.
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Dataconomy
SEPTEMBER 4, 2023
Key features of cloud analytics solutions include: Data models , Processing applications, and Analytics models. Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence.
DagsHub
DECEMBER 11, 2023
DagsHub DagsHub is a centralized Github-based platform that allows Machine Learning and Data Science teams to build, manage and collaborate on their projects. In addition to versioning code, teams can also version data, models, experiments and more. However, these tools have functional gaps for more advanced data workflows.
Hacker News
NOVEMBER 14, 2023
In 2019 Lotus Notes was acquired by HCL, and since then longevity of support has been wavering. As a result, since 2019, technology teams have been trying to migrate many of our systems to new technologies. The data from D10 was never actually transferred to D11, meaning the business is now using 2 systems instead of 1.
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