DagsHub

AUGUST 23, 2024

Image generated with Midjourney Organizations increasingly rely on data to make business decisions, develop strategies, or even make data or machine learning models their key product. As such, the quality of their data can make or break the success of the company. What is a data quality framework?

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52

Dataversity

DECEMBER 7, 2020

Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].

Data Warehouse 90

Data Warehouse Business Intelligence Business Intelligence Analytics 90

Mlearning.ai

JUNE 25, 2023

Using this APP provision, user’s can simply ask question related to their input data and get the corresponding data analysis results as response.

Data Analysis 52

Data Analysis Data Analysis AI AI 52

The MLOps Blog

MAY 17, 2023

Often the Data Team, comprising Data and ML Engineers , needs to build this infrastructure, and this experience can be painful. ETL data pipeline architecture | Source: Author Data Discovery: Data can be sourced from various types of systems, such as databases, file systems, APIs, or streaming sources.

ETL 59

ETL Data Pipeline ML ML 59

Dataversity

DECEMBER 16, 2020

According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […].

Data Warehouse 69

Data Warehouse Data Lakes Data Profiling Data Quality 69

Dataconomy

FEBRUARY 23, 2023

Some of these solutions include: Data quality management: Data quality management involves ensuring that the data is accurate, consistent, and complete. It includes various processes such as data profiling, data cleansing, and data validation.

Big Data 91

Big Data Big Data Data Engineering Data Engineer 91

Pickl AI

AUGUST 30, 2024

Summary: This article provides a comprehensive overview of data migration, including its definition, importance, processes, common challenges, and popular tools. By understanding these aspects, organisations can effectively manage data transfers and enhance their data management strategies for improved operational efficiency.

Data Quality 52

Data Quality Data Governance Azure Database 52

Alation

JULY 6, 2021

Data catalogs provide those insights through popularity and usage metrics. Data consumers can have inline conversations about the data where it lives. A data catalog may even host wiki-like articles, where people can document details about the data. Is it deprecated? Is it usable?

Data Governance 52

Data Governance Data Quality Data Silos Data Profiling 52

Dataversity

FEBRUARY 1, 2021

In Part 1 and Part 2 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […].

Data Warehouse 59

Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

Dataversity

JANUARY 11, 2021

In Part 1 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […].

Data Warehouse 59

Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

Dataversity

APRIL 22, 2022

In today’s digital world, data is undoubtedly a valuable resource that has the power to transform businesses and industries. As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively.

Data Profiling 52

Data Profiling Data Quality Data Governance Artificial Intelligence 52

The MLOps Blog

MARCH 15, 2023

This is a difficult decision at the onset, as the volume of data is a factor of time and keeps varying with time, but an initial estimate can be quickly gauged by analyzing this aspect by running a pilot. Also, the industry best practices suggest performing a quick data profiling to understand the data growth.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59