Data Management: Page

data virtualization

Data virtualization is an umbrella term used to describe an approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data.

By TechTarget Contributor • July 24, 2023

conformed dimension

In data warehousing, a conformed dimension is a dimension that has the same meaning to every fact with which it relates.

By Robert Sheldon • July 21, 2023

dimension table

In data warehousing, a dimension table is a database table that stores attributes describing the facts in a fact table.

By Robert Sheldon • July 20, 2023

Lakehouse architecture the best fit for modern data needs

While data warehouses and data lakes each excel at handling certain types of data, a hybrid of the two is the best means of handling the increasing complexity of data management.

By Eric Avidon • July 19, 2023

Confluent partner plan aids streaming data platform delivery

The vendor's Connect With Confluent program enables technology partners to deliver event data to end users in real time through integrations with Confluent Cloud.

By Eric Avidon • July 18, 2023

Model collapse explained: How synthetic training data breaks AI

Without human-generated training data, AI systems malfunction. This could be a problem if the internet becomes flooded with AI-generated content.

By Ben Lutkevich • July 7, 2023

Dremio names former Splunk executive new CEO

The former Splunk executive takes over as the data lakehouse vendor's leader, aiming to raise the company's profile to demonstrate its capabilities and compete for market share.

By Eric Avidon • July 7, 2023

Grow data trust to avoid customer and corporate consequences

A lack of data trust can undermine customer loyalty and corporate success. To avoid the consequences, understand the effects of poor data trust and learn key steps to build it.

By Stephen Catanzano • June 28, 2023

Databricks introduces Delta Lake 3.0 to help unify data

As part of the open source community developing the data storage platform, the vendor unveiled the platform's latest iteration with data unification the main goal of the update.

By Eric Avidon • June 28, 2023

Use knowledge graphs with databases to uncover new insights

Knowledge graphs work with graph databases to offer different data storage options than a traditional database, particularly in the biomedical, financial and product sectors.

By George Lawton • June 22, 2023

MongoDB unveils new AI, migration tools for database

The vendor, with its latest slate of new and updated capabilities, is adding generative AI with its partnership with Google Cloud and launching a new data migration tool.

By Eric Avidon • June 22, 2023

Starburst Galaxy update targets governance, data access

The vendor's latest update includes the public preview of Gravity, a centralized access and governance layer that enables users to better control and connect data across clouds.

By Eric Avidon • June 20, 2023

Dremio adds first generative AI-infused tool, intros others

The vendor's initial generative AI-infused tool is Text-to-SQL, which enables customers to work with data using natural language that is automatically translated to code.

By Eric Avidon • June 16, 2023

Monte Carlo boosts data observability with generative AI

The vendor unveiled tools aimed at improving engineering efficiency, one enabling data engineers to more easily fix code and another enabling code generation with natural language.

By Eric Avidon • June 15, 2023

Informatica adds data governance with Privitar acquisition

By acquiring the access control specialist, the data management vendor hopes to better enable users to ensure data security amid the growing complexity of their data operations.

By Eric Avidon • June 14, 2023

15 ways AI influences the data management landscape

AI, NLP and machine learning advancements have become core to data management processes. Ask tool vendors how they use -- or fail to use -- AI in these 15 areas.

By Stephen Catanzano • June 13, 2023

How to create a data quality management process in 5 steps

Data quality requires accurate and complete data that fits task-based needs. These five steps establish a data quality management process to ensure data fits its purpose.

By Donald Farmer • June 8, 2023

Hadoop

Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications in scalable clusters of computer servers.

By Linda Rosencrance, Craig Stedman • June 8, 2023

Ascend.io, Databricks integration improves data visibility

The update includes support for Databricks' Unity Catalog to enable joint customers to better organize and view datasets that can be used to inform data science and BI projects.

By Eric Avidon • June 7, 2023

Snowflake launches Government & Education Data Cloud

The industry-specific platform is the vendor's seventh and includes data sets and other pre-built capabilities to meet the needs of government agencies and educational institutions.

By Eric Avidon • June 6, 2023

Collibra update targets data quality, lineage and discovery

The data management vendor's Data Intelligence Cloud now includes pushdowns that enable work within Snowflake and Databricks and prebuilt workflows focused on data visibility.

By Eric Avidon • June 6, 2023

Tibco data virtualization, integration tools add visibility

No longer focused on analytics following a recent reorganization, the vendor updated its data management platforms with new multi-cloud and change data capture capabilities.

By Eric Avidon • June 6, 2023

Data mesh helping fuel Sloan Kettering’s cancer research

The cancer hospital and research center began using tools from data management vendor Dremio two years ago to decentralize its data operations and improve speed-to-insight.

By Eric Avidon • June 2, 2023

6 ways Amazon Security Lake could boost security analytics

Amazon's new security-focused data lake holds promise -- including possibly changing the economics around secure data storage.

By Jon Oltsik • June 1, 2023

data lakehouse

A data lakehouse is a data management architecture that combines the key features and the benefits of a data lake and a data warehouse.

By Craig Stedman , George Lawton • May 31, 2023