Data Governance, Data Models and Data Preparation

How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

Data Governance

Data Governance Analytics Analytics Tableau

How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

Data Governance

Data Governance Analytics Analytics Tableau

Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry

AWS Machine Learning Blog

NOVEMBER 13, 2024

Data governance – This tooling should be hosted in an isolated environment to centralize data governance functions such as setting up data access policies and governing data access for AI/ML use cases across your organization, lines of business, and teams.

ML

ML ML AWS Data Preparation

Webinars

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

MORE WEBINARS

Integrating AI into Asset Performance Management: It’s all about the data

IBM Journey to AI blog

MARCH 29, 2024

Enterprise applications serve as repositories for extensive data models, encompassing historical and operational data in diverse databases. Generative AI foundational models train on massive amounts of unstructured and structured data, but the orchestration is critical to success.

AI

AI AI Artificial Intelligence Artificial Intelligence

Introduction to Power BI Datamarts

ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. No-code/low-code experience using a diagram view in the data preparation layer similar to Dataflows.

Power BI

Power BI Data Warehouse ETL Data Preparation

Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler

AWS Machine Learning Blog

AUGUST 21, 2023

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. We are happy to announce that SageMaker Data Wrangler now supports using Lake Formation with Amazon EMR to provide this fine-grained data access restriction.

AWS

AWS Data Lakes Clustering Data Preparation

Discover the Most Important Fundamentals of Data Engineering

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineer

Data Engineer Data Engineering Data Engineering Data Engineering

What is Data-Centric Architecture in AI?

Pickl AI

JUNE 23, 2023

Data Collection The process begins with the collection of relevant and diverse data from various sources. This can include structured data (e.g., databases, spreadsheets) as well as unstructured data (e.g., Data Preparation Once collected, the data needs to be preprocessed and prepared for analysis.

AI

AI AI Data Governance Data Quality

Future-Forward: 2024’s Most Promising Power BI Project Ideas

Pickl AI

JUNE 18, 2024

It now allows users to clean, transform, and integrate data from various sources, streamlining the Data Analysis process. This eliminates the need to rely on separate tools for data preparation, saving time and resources. Data governance and compliance are critical aspects of Data Analysis.

Power BI

Power BI Data Analysis Data Analysis Data Visualization

AI Models as a Service (AIMaaS): A Detailed Overview

Pickl AI

OCTOBER 3, 2024

Predictive Analytics : Models that forecast future events based on historical data. Model Repository and Access Users can browse a comprehensive library of pre-trained models tailored to specific business needs, making it easy to find the right solution for various applications.

Machine Learning

Machine Learning Machine Learning AI AI

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

JUNE 27, 2023

See also Thoughtworks’s guide to Evaluating MLOps Platforms End-to-end MLOps platforms End-to-end MLOps platforms provide a unified ecosystem that streamlines the entire ML workflow, from data preparation and model development to deployment and monitoring. Is it fast and reliable enough for your workflow?

Machine Learning

Machine Learning Machine Learning ML ML

Reimagining Data Preparation for High-Impact Decision-Making

The Data Administration Newsletter

FEBRUARY 19, 2025

Data often arrives from multiple sources in inconsistent forms, including duplicate entries from CRM systems, incomplete spreadsheet records, and mismatched naming conventions across databases. Data […] These issues slow analysis pipelines and demand time-consuming cleanup.

Data Preparation

Data Preparation Machine Learning Machine Learning Database

Building Safe Enterprise AI Systems in a Databricks Ecosystem with Securiti’s Gencore AI

Data Science Dojo

APRIL 3, 2025

A 5-Step Framework for Secure Enterprise AI Deployment Building a secure and compliant enterprise AI system requires more than just deploying AI models. A robust infrastructure, strong data governance, and proactive security measures are some key requirements for the process.

AI

AI AI Data Pipeline Data Preparation

Data Science Current

How to: Focus on three areas for a holistic data governance approach for self-service analytics

How to: Focus on three areas for a holistic data governance approach for self-service analytics

Webinars

Trending Sources

Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry

Webinars

Integrating AI into Asset Performance Management: It’s all about the data

Introduction to Power BI Datamarts

Apply fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler

Discover the Most Important Fundamentals of Data Engineering

What is Data-Centric Architecture in AI?

Future-Forward: 2024’s Most Promising Power BI Project Ideas

AI Models as a Service (AIMaaS): A Detailed Overview

MLOps Landscape in 2023: Top Tools and Platforms

Reimagining Data Preparation for High-Impact Decision-Making

Building Safe Enterprise AI Systems in a Databricks Ecosystem with Securiti’s Gencore AI

Stay Connected