AWS Big Data

APRIL 19, 2023

Instead, we can use automation to speed up the process of migration and reduce heavy lifting tasks, costs, and risks. We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. Generate Spark SQL metadata Our batch job consists of Hive steps scheduled to run sequentially.

Metadata 77

Metadata Testing Data Lake Consulting 77

AWS Big Data

APRIL 3, 2024

As data is refreshed and updated, changes can happen through upstream processes that put it at risk of not maintaining the intended quality. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata.

Data Quality 88

Data Quality Visualization Metadata Metrics 88

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Allows metadata repositories to share and exchange.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

JANUARY 22, 2024

Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure. For orchestration, they use the AWS Cloud Development Kit (AWS CDK) for infrastructure as code (IaC) and AWS Glue Data Catalogs for metadata management.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

AWS Big Data

MARCH 1, 2024

One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.

Data Lake 99

Data Lake Data Warehouse Management Risk 99

Domino Data Lab

JULY 22, 2019

I went to a meeting at Starbucks with the founder of Alation right before they launched in 2012, drawing on the proverbial back-of-the-napkin. What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

AUGUST 8, 2019

The gist is, leveraging metadata about research datasets, projects, publications, etc., The probabilistic nature changes the risks and process required. We face problems—crises—regarding risks involved with data and machine learning in production. Some people are in fact trained to work with these kinds of risks.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71