IBM Data Science in Practice

APRIL 26, 2024

In this blog, we explore how the introduction of SQL Asset Type enhances the metadata enrichment process within the IBM Knowledge Catalog , enhancing data governance and consumption. Data Stewardship : Data stewards can utilize dynamic views for metadata enrichment, profiling, and data governance activities.

SQL 130

SQL Data Quality Data Governance Data Scientist 130

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

phData

OCTOBER 23, 2023

When you query the customer table, both the VALUE column and its derived columns will implement the masking policy before showing the data. Figure-6 This approach works well when you have a small number of JSON entities and your data governance needs are relatively simple. Snowflake Data Governance: What is Object Tagging?

Data Governance 52

Data Governance Python Data Classification Azure 52

Alation

JULY 13, 2021

The Five Pain Points of Moving Data to the Cloud. Data classification presents challenges when moving environments. Data governance is hard, especially when building trust and quality. The centrality of data development is crucial. Collective buy-in from your team is also a key piece of the puzzle.

Cloud Data 52

Cloud Data Data Governance Data Warehouse Data Mining 52

Alation

OCTOBER 28, 2021

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. Uncover intelligence from data. Protect data at the source.

Data Governance 52

Data Governance Database Data Quality Data Analyst 52

IBM Journey to AI blog

JULY 7, 2023

Best practices for proactive data security Best cybersecurity practices mean ensuring your information security in many and varied ways and from many angles. Here are some data security measures that every organization should strongly consider implementing. Define sensitive data. Establish a cybersecurity policy.

Data Governance 40

Data Governance Data Lakes Database Cloud Computing 40

Alation

AUGUST 11, 2021

The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. As Vice President of Data Governance at TMIC, Anthony has robust experience leading cloud migration as part of a larger data strategy. Creating an environment better suited for data governance. The Plan in Action.

Data Governance 52

Data Governance Data Warehouse Data Classification Data Quality 52

Alation

MAY 16, 2023

How much data processing that occurs will depend on the data’s state when ingested and how different the format is from the desired end state. Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes.

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

phData

FEBRUARY 14, 2023

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

Alation

MAY 16, 2023

How much data processing that occurs will depend on the data’s state when ingested and how different the format is from the desired end state. Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes.

Data Pipeline 40

Data Pipeline Data Governance Data Lakes Data Warehouse 40

IBM Journey to AI blog

OCTOBER 16, 2023

Establish data governance frameworks, policies, procedures and tools by organizations to bring in required control and audit. Regular audits ensure ongoing adherence to these guidelines, so make it part of the governance framework. Data sovereignty procedures should be regularly monitored to identify areas for improvement.

Data Governance 71

Data Governance Cloud Computing Data Classification Cloud Data 71

phData

JANUARY 15, 2024

It accurately recognizes diverse data types and supports various table structures, excluding certain data types like GEOGRAPHY and BINARY. The process computes costs based on data volume. It enhances data governance by introducing a tagging mechanism.

Data Governance 52

Data Governance Database Data Warehouse Cloud Computing 52

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification.

Data Classification 52

Data Classification Data Governance Data Analyst ML 52

phData

FEBRUARY 16, 2023

These projects should include all functional areas within the data platform including analytics engineering, machine learning , and data science. Data governance and data classification are potential reasons to separate projects in dbt Cloud.

Database 52

Database Azure Data Classification Data Governance 52

Alation

MARCH 1, 2022

Coupled together, Alation’s OCF SDK and improved API Developer Portal, improves the flexibility and extensibility of Alation Data Catalog. Data classification via tags is a simple yet powerful capability. It enables users to search & filter, apply data policies, certify data, and so much more. In 2022.1,

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Data Governance 64

Data Governance ML ML Artificial Intelligence 64