article thumbnail

Top 10 Reasons for Alation with Snowflake: Reduce Risk with Active Data Governance

Alation

Organizations need to ensure that data use adheres to policies (both organizational and regulatory). In an ideal world, you’d get compliance guidance before and as you use the data. Imagine writing a SQL query or using a BI dashboard with flags & warnings on compliance best practice within your natural workflow. In Summary.

article thumbnail

Data architecture strategy for data quality

IBM Journey to AI blog

Efficiently adopt data platforms and new technologies for effective data management. Apply metadata to contextualize existing and new data to make it searchable and discoverable. Perform data profiling (the process of examining, analyzing and creating summaries of datasets).

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Comparing Tools For Data Processing Pipelines

The MLOps Blog

If you will ask data professionals about what is the most challenging part of their day to day work, you will likely discover their concerns around managing different aspects of data before they get to graduate to the data modeling stage. How frequently you would require to transfer the data is also of key interest.

article thumbnail

How and When to Use Dataflows in Power BI

phData

Attach a Common Data Model Folder (preview) When you create a Dataflow from a CDM folder, you can establish a connection to a table authored in the Common Data Model (CDM) format by another application. We suggest establishing distinct Dataflows for various source types like on-premises, cloud, SQL Server, and Databricks.

article thumbnail

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Model versioning, lineage, and packaging : Can you version and reproduce models and experiments? Can you see the complete model lineage with data/models/experiments used downstream? You can define expectations about data quality, track data drift, and monitor changes in data distributions over time.