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 94

Data Quality Data Governance Data Profiling Clean Data 94

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 156

Data Scientist ML ML Machine Learning 156

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 52

Data Preparation Machine Learning Machine Learning Data Governance 52

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 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

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 99

Tableau Data Quality Analytics Analytics 99

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 97

Tableau Data Quality Analytics Analytics 97

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 52

Data Analysis Data Analysis Database Clean Data 52