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Business Intelligence,Big Data Management
Snowplow | November 03, 2022
Snowplow, the industry leader in Data Creation and behavioral data, has announced the availability of the first of its Data Product Accelerators (DPAs)— recipes designed to help accelerate the journey from ideation to outcome when designing business-critical data products. The company has also announced preview availability of new offerings within its Behavioral Data Platform (BDP) portfolio. Data Product Accelerators Snowplow DPAs mark the ne...
Big Data Management
Factored | March 10, 2022
Factored, a leader in data-centric AI helping tech unicorns and other high-profile tech companies select, upskill and build high-caliber data engineering, machine learning and data analytics teams, announced today that it has partnered with Databricks, the data and AI company, to drive business value for clients by unifying all data and artificial intelligence processes and workflows in a single platform. Thanks to Databricks' technology, including Delta Lake, Structured Streaming and the in...
Panasas | August 06, 2020
Panasas® today released Dynamic Data Acceleration on the new PanFS® parallel file system, a proprietary software feature that delivers predictable high performance by automatically adapting to the changing and evolving small file and mixed workloads that dominate today’s HPC and AI landscape. Inconsistent performance and lack of adaptability in the face of change has been a major headache for both application users and storage administrators. PanFS with Dynamic Data Acceleration is...
Data Visualization
SensiML | December 20, 2023
SensiML Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic, announced the launch of Data Studio, a ground-breaking platform designed to redefine the landscape of sensor data management. With a focus on practicality and efficiency, Data Studio empowers engineers and data scientists by offering an integrated solution that addresses the most time-consuming tasks in AI engineering projects - creating high-quality datasets for evaluating and developing ML models. Read More
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Big Data Management, Data Science, Big Data
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