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Advancing Data Fabric with Micro-segment Creation in IBM Knowledge Catalog

IBM Data Science in Practice

By creating microsegments, businesses can be alerted to surprises, such as sudden deviations or emerging trends, empowering them to respond proactively and make data-driven decisions. SQL AssetCreation For each selected value, the system dynamically generates a separate SQL asset. For this example, choose MaritalStatus.

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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

With Great Expectations , data teams can express what they “expect” from their data using simple assertions. Great Expectations provides support for different data backends such as flat file formats, SQL databases, Pandas dataframes and Sparks, and comes with built-in notification and data documentation functionality.

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phData Toolkit August 2023 Update

phData

Over the last month, we’ve been heavily focused on adding additional support for SQL translations to our SQL Translations tool. Specifically, we’ve been introducing fixes and features for our Microsoft SQL Server to Snowflake translation. This is where the SQL Translation tool can be a massive accelerator for your migration.

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phData Toolkit March 2023 Update

phData

You have tons of data and SQL to migrate, and you need to ensure that it’s done right, or it’s your job on the line! WIthin our Toolkit CLI, we primarily have two different tools: our SQL Translation Tool and our Data Source Tool. Added a default name (the folder or file name) when generating SQL reports.

SQL 52
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phData Toolkit June 2023 Update

phData

While many of our customers leverage our UI for tools like our SQL Translation or Privilege Audit tooling, there are limitations when it comes to using a UI. You wouldn’t want to pay someone (or perform yourself) to manually copy/paste each file into a browser window and copy/paste the translated SQL back.

SQL 52
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phData Toolkit December 2022 Update

phData

The phData Toolkit continues to have additions made to it as we work with customers to accelerate their migrations , build a data governance practice , and ensure quality data products are built. Some of the major improvements that have been made are within the data profiling and validation components of the Toolkit CLI.

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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.