IBM Journey to AI blog

OCTOBER 22, 2024

The ability to effectively deploy AI into production rests upon the strength of an organization’s data strategy because AI is only as strong as the data that underpins it. Organizations must support quality enhancement across structured, semistructured and unstructured data alike.

Data Silos 102

Data Silos Data Pipeline DataOps Business Intelligence 102

IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

Data Profiling 52

Data Profiling Data Quality Data Governance Data Pipeline 52

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric. Automated Data Orchestration (AKA DataOps).

DataOps 52

DataOps SQL ML ML 52

Alation

AUGUST 17, 2022

Data governance policy should be owned by the top of the organization so data governance is given appropriate attention — including defining what’s a potential risk and what is poor data quality.” It comes down to the question: What is the value of your data? Subscribe to Alation's Blog.

Data Governance 92

Data Governance Data Quality DataOps 92

AWS Machine Learning Blog

JULY 31, 2023

He works with customers to realize their data analytics and machine learning goals through adoption of DataOps and MLOps practices and solutions.

ML 98

ML ML Data Preparation Machine Learning 98

Dataversity

JUNE 29, 2022

The quality of the data you use in daily operations plays a significant role in how well you will generate valuable insights for your enterprise. You want to rely on data integrity to ensure you avoid simple mistakes because of poor sourcing or data that may not be correctly organized and verified.

Data Observability 98

Data Observability DataOps Data Quality Data Governance 98

Alation

AUGUST 11, 2022

DataOps sprung up to connect data sources to data consumers. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. So we have to be very careful about giving the domains the right and authority to fix data quality. Subscribe to Alation's Blog.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineering Data Engineer 52

Alation

OCTOBER 12, 2021

Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Evaluate and monitor data quality.

Analytics 52

Analytics Analytics Data Governance DataOps 52

phData

MAY 11, 2023

To truly test the effects of a deployment, you need to have an environment with the exact data that is in Production. In this blog, we’ll explore how to properly leverage the Zero Copy Clone feature from the Snowflake Data Cloud. Many open-source and free tools exist, such as Flyway, Liquibase, schemachange, or DataOps.

Database 52

Database SQL DataOps Data Warehouse 52

Dataversity

JUNE 23, 2021

The role of the chief data officer (CDO) has evolved more over the last decade than any of the C-suite. The post Speed Up AI Development by Hiring a Chief Data Officer appeared first on DATAVERSITY. Click to learn more about author Jitesh Ghai. As companies plan for a rebound from the pandemic, the CDO […].

AI 59

AI AI DataOps Data Quality 59

Dataversity

JULY 1, 2022

Businesses rely on data to drive revenue and create better customer experiences – […]. A 20-year-old article from MIT Technology Review tells us that good software “is usable, reliable, defect-free, cost-effective, and maintainable. And software now is none of those things.” Today, most businesses would beg to differ.

Analytics 52

Analytics Analytics DataOps Data Pipeline 52

phData

MAY 7, 2025

Unlock the full potential of Apache Icebergs metadata tables to enhance your data platforms reliability, observability, and operational efficiency. Through practical examples with AWS Glue jobs, this blog demonstrates how to query Icebergs metadata tables using SQL and turn hidden information into actionable insights.

DataOps 52

DataOps AWS SQL Data Engineering 52