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Performance Management
mParticle | October 13, 2021
mParticle, the largest independent Customer Data Platform, today announced new Data Planning tools and best practices to help marketers, developers and product managers realize the full benefit of customer data by simplifying data plan implementation and mitigating dirty data. Only 3% of companies' data meets basic quality standards leading to inaccurate and inconsistent information that leads to wasted marketing budgets, poorly executed customer experiences and hours of tedio...
Business Intelligence, Big Data Management, Business Strategy
Ataccama | February 08, 2023
On February 08, 2023, Ataccama, a leading provider of unified data management platforms, announced that it had strengthened the integration of its Ataccama ONE platform with the Data Cloud company, Snowflake, to provide joint customers with data observability functionality and pushdown processing functionality. Data is processed directly on Snowflake's unified platform, resulting in faster, less expensive, and more secure outcomes. Snowpark, Snowflake's developer framewo...
Big Data Management
Hewlett Packard Enterprise | March 19, 2021
Hewlett Packard Enterprise has refreshed its Ezmeral data and analytics programming portfolio adding another item and an ISV and open source solutions marketplace. Ezmeral Data Fabric is currently accessible independently as a product characterized, scale-out data store streamlined for data analytics abilities, just as a piece of the Container Platform and ML Ops contributions. It gives a data stockpiling layer across on-reason, private or public cloud, and edge conditions. ...
Business Intelligence, Big Data Management
Syniti | October 20, 2022
Syniti, a global leader in enterprise data management, today announced the upcoming availability of its fully cloud-native Syniti Match, the most rapid and precise AI-powered data matching software on the market that supports both party and operational data. Enterprise data is often riddled with errors and consistencies like typos, missing fields, duplications, and name variances. Those errors are compounded when dealing with multiple systems which is increasingly common as organizations continu...
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Business Intelligence, Big Data Management, Data Science
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Business Intelligence, Big Data Management, Big Data
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