Iguazio

JULY 22, 2024

MongoDB for end-to-end AI data management MongoDB Atlas , an integrated suite of data services centered around a multi-cloud NoSQL database, enables developers to unify operational, analytical, and AI data services to streamline building AI-enriched applications.

AI 132

AI AI ML ML 132

Precisely

SEPTEMBER 18, 2023

Regardless of your industry or role in the business, data has a massive role to play – from operations managers who rely on downstream analytics for important business decisions, to executives who want an overview of how the company is performing for key stakeholders. Trusted data is crucial, and data observability makes it possible.

Data Observability 52

Data Observability Data Quality Data Pipeline DataOps 52

Iguazio

JANUARY 16, 2024

Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization including a large number of data and AI professionals. This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. First, the data lake is fed from a number of data sources.

ML 52

ML ML DataOps Data Scientist 52

Iguazio

JANUARY 16, 2024

Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization, including a large number of data and data science professionals. This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. Gennaro Frazzingaro, Head of AI/ML at Sense.

ML 52

ML ML DataOps Data Scientist 52

Alation

APRIL 4, 2023

Alation delivers extended connectivity for Databricks Unity Catalog , the lakehouse company, and new connectivity for dbt Cloud by dbt Labs , the pioneer in analytics engineering. Now, joint users will get an enhanced view into cloud and data transformations , with valuable context to guide smarter usage.

DataOps 52

DataOps Data Engineering Data Engineering Data Engineer 52

Precisely

DECEMBER 12, 2023

Systems and data sources are more interconnected than ever before. A broken data pipeline might bring operational systems to a halt, or it could cause executive dashboards to fail, reporting inaccurate KPIs to top management. Data observability is a foundational element of data operations (DataOps).

Data Observability 52

Data Observability Data Quality Data Pipeline Machine Learning 52

Alation

MAY 24, 2022

In a sea of questionable data, how do you know what to trust? Data quality tells you the answer. It signals what data is trustworthy, reliable, and safe to use. It empowers engineers to oversee data pipelines that deliver trusted data to the wider organization.

Data Quality 52

Data Quality Data Pipeline DataOps Analytics 52

Alation

APRIL 18, 2023

This, in turn, helps them to build new data pipelines, solutions, and products, or clean up the data that’s there. It bears mentioning data profiling has evolved tremendously. Data migration Digital transformation is ongoing. To achieve this, these developers need to build data pipelines that migrate data.

Data Profiling 52

Data Profiling Data Quality Data Governance Data Pipeline 52

Dataversity

JULY 1, 2022

From payments to CRM to analytics and people operations, software runs everything. Businesses rely on data to drive revenue and create better customer experiences – […]. The post How Data Reliability Engineering Can Solve Today’s Data Challenges appeared first on DATAVERSITY.

Analytics 52

Analytics Analytics DataOps Data Pipeline 52

Pickl AI

DECEMBER 11, 2024

Focusing only on what truly matters reduces data clutter, enhances decision-making, and improves the speed at which actionable insights are generated. Streamlined Data Pipelines Efficient data pipelines form the backbone of lean data management.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52

Precisely

FEBRUARY 10, 2023

Advanced analytics and AI/ML continue to be hot data trends in 2023. According to a recent IDC study, “executives openly articulate the need for their organizations to be more data-driven, to be ‘data companies,’ and to increase their enterprise intelligence.”

DataOps 52

DataOps Data Observability ML ML 52

Precisely

JULY 15, 2024

Key Takeaways Data Mesh is a modern data management architectural strategy that decentralizes development of trusted data products to support real-time business decisions and analytics. It’s time to rethink how you manage data to democratize it and make it more accessible. What is Data Mesh?

Data Governance 72

Data Governance DataOps Data Silos Data Pipeline 72