Clean Data, Data Quality and Definition

How to Deliver Data Quality with Data Governance: Ryan Doupe, CDO of American Fidelity, 9-Step Process

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. Step 2: Data Definitions.

Data Quality

Data Quality Data Governance Data Profiling Clean Data

What is a data fabric?

Tableau

APRIL 18, 2022

We’ve infused our values into our platform, which supports data fabric designs with a data management layer right inside our platform, helping you break down silos and streamline support for the entire data and analytics life cycle. . Analytics data catalog. Data quality and lineage. Data preparation.

Tableau

Tableau Data Quality Analytics Analytics

What is a data fabric?

Tableau

APRIL 18, 2022

We’ve infused our values into our platform, which supports data fabric designs with a data management layer right inside our platform, helping you break down silos and streamline support for the entire data and analytics life cycle. . Analytics data catalog. Data quality and lineage. Data preparation.

Tableau

Tableau Data Quality Analytics Analytics

Webinars

Apache Airflow®: The Ultimate Guide to DAG Writing

The 2nd Generation of Innovation Management: A Survival Guide

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Journeying into the realms of ML engineers and data scientists

Dataconomy

MAY 16, 2023

With their technical expertise and proficiency in programming and engineering, they bridge the gap between data science and software engineering. Data visualization and communication: Data scientists need to effectively communicate their findings and insights to stakeholders.

Data Scientist

Data Scientist ML ML Machine Learning

Everything You Need to know about Data Manipulation

Pickl AI

JULY 12, 2023

The data professionals deploy different techniques and operations to derive valuable information from the raw and unstructured data. The objective is to enhance the data quality and prepare the data sets for the analysis. What is Data Manipulation?

Data Analysis

Data Analysis Data Analysis Database Clean Data

Understanding Data Science and Data Analysis Life Cycle

Pickl AI

MAY 30, 2024

Overview of Typical Tasks and Responsibilities in Data Science As a Data Scientist, your daily tasks and responsibilities will encompass many activities. You will collect and clean data from multiple sources, ensuring it is suitable for analysis. Data Cleaning Data cleaning is crucial for data integrity.

Data Analysis

Data Analysis Data Analysis Data Science Exploratory Data Analysis

A guide to efficient Oracle implementation

IBM Journey to AI blog

DECEMBER 4, 2023

According to Oracle , best practices for the planning process include five categories of information: Project definition: This is the blueprint that will include relevant information for an implementation project. During this phase, the platform is configured to meet specific business requirements and core data migration begins.

Data Silos

Data Silos Clean Data Data Quality

Build Data Pipelines: Comprehensive Step-by-Step Guide

Pickl AI

JULY 8, 2024

These pipelines automate collecting, transforming, and delivering data, crucial for informed decision-making and operational efficiency across industries. Tools such as Python’s Pandas library, Apache Spark, or specialised data cleaning software streamline these processes, ensuring data integrity before further transformation.

Data Pipeline

Data Pipeline Data Quality Database Apache Kafka

Your Essential Guide: Discover how to remove duplicates in Excel

Pickl AI

SEPTEMBER 5, 2024

Duplicates can significantly affect Data Analysis and reporting in several ways: Inflated Metrics: Duplicates can lead to inflated totals or averages, which misrepresent the actual data. Skewed Insights: Analysis based on duplicated data can result in incorrect conclusions and impact decision-making. MIS Report in Excel?

Clean Data

Clean Data Data Analysis Data Analysis Data Quality

The Ultimate Guide to Data Preparation for Machine Learning

DagsHub

FEBRUARY 29, 2024

What are the different Data Preparation Steps? Before starting to collect data, it is important to conceptualize a business problem that can be solved with machine learning. In large ML organizations, there is typically a dedicated team for all the above aspects of data preparation.

Data Preparation

Data Preparation Machine Learning Machine Learning Data Governance

Debugging data to build better and more fair ML applications

Snorkel AI

APRIL 28, 2023

It’s about how to draw and analyze data quality and machine learning quality, which is actually very related to this current trend of data-centric AI. You could have a missing value, you could have a wrong value, and you have a whole bunch of those data examples. It is definitely a very important problem.

ML

ML ML Machine Learning Machine Learning

Debugging data to build better and more fair ML applications

Snorkel AI

APRIL 28, 2023

It’s about how to draw and analyze data quality and machine learning quality, which is actually very related to this current trend of data-centric AI. You could have a missing value, you could have a wrong value, and you have a whole bunch of those data examples. It is definitely a very important problem.

ML

ML ML Machine Learning Machine Learning

How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

OCTOBER 23, 2024

Here are some challenges you might face while managing unstructured data: Storage consumption: Unstructured data can consume a large volume of storage. For instance, if you are working with several high-definition videos, storing them would take a lot of storage space, which could be costly.

Machine Learning

Machine Learning Machine Learning AI AI

dbt Labs’ Coalesce 2023 Recap

phData

NOVEMBER 13, 2023

Sidebar Navigation: Provides a catalog sidebar for browsing resources by type, package, file tree, or database schema, reflecting the structure of both dbt projects and the data platform. Version Tracking: Displays version information for models, indicating whether they are prerelease, latest, or outdated.

Database

Database Business Intelligence Business Intelligence Data Silos

Data Science Current

How to Deliver Data Quality with Data Governance: Ryan Doupe, CDO of American Fidelity, 9-Step Process

What is a data fabric?

Webinars

Trending Sources

What is a data fabric?

Webinars

Journeying into the realms of ML engineers and data scientists

Everything You Need to know about Data Manipulation

Understanding Data Science and Data Analysis Life Cycle

A guide to efficient Oracle implementation

Build Data Pipelines: Comprehensive Step-by-Step Guide

Your Essential Guide: Discover how to remove duplicates in Excel

The Ultimate Guide to Data Preparation for Machine Learning

Debugging data to build better and more fair ML applications

Debugging data to build better and more fair ML applications

How to Manage Unstructured Data in AI and Machine Learning Projects

dbt Labs’ Coalesce 2023 Recap

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