Analytics Big Data Government System Design 
CIO
MARCH 9, 2022
Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.
O'Reilly Media - Ideas
FEBRUARY 11, 2019
Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.
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CTOvision
FEBRUARY 4, 2015
If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.
CTOvision
JANUARY 18, 2015
If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.
Datavail
NOVEMBER 6, 2023
Known for its ability to handle massive amounts of data across multiple nodes with no single point of failure, Cassandra has become a popular choice for organizations dealing with big data and real-time applications. It follows a peer-to-peer architecture, employing a decentralized approach to data storage and replication.
Cloudera
AUGUST 11, 2021
For example, Cloudera Data Platform provides a big-data platform designed for deployment in any type of enterprise system–physical or in a cloud. Companies select this because it provides a central, scalable, and secure environment for handling workloads for batch, interactive, and real-time analytics.
Apiumhub
APRIL 22, 2021
Because of the structure that data modeling imposes upon data, the process of data modeling subsequently increases consistency in naming, rules, semantics, and security, while also improving data analytics. Increase consistency in documentation and system design across the enterprise.
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