CTOvision
APRIL 6, 2015
New in the CTOvision Research Library: We have just posted an overview of an architectural assessment we produced laying out best practices and design patterns for the use of SAS and Apache Hadoop, with a focus on the government sector. On 21 May we will be providing a deep dive into these architectural patterns with an engineer from SAS.
Cloudera
OCTOBER 4, 2023
On top of these core critical capabilities, we also need the following: Petabyte and larger scalability — particularly valuable in predictive analytics use cases where high granularity and deep histories are essential to training AI models to greater precision.
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CTOvision
MARCH 14, 2014
By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. The introduction of Pentaho Business Analytics 5.0
O'Reilly Media - Ideas
JUNE 4, 2019
Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Scalable Data Science with Apache Hadoop and Spark , July 16. Text Analysis for Business Analytics with Python , August 12. Azure Architecture: Best Practices , June 28.
Cloudera
FEBRUARY 18, 2021
It’s fast, scalable and increasingly safe for businesses and customers alike. As the dust has settled, that technology, which automates a percentage of claims without human interaction, has proven productive and effective, unlocking new confidence as well as scalability. Trend #3: Cloud Considerations.
O'Reilly Media - Data
JULY 23, 2018
The rise of deep learning has made this even more pronounced, as many modern neural network architectures rely on very large amounts of training data. Scalable Machine Learning for Data Cleaning. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics.
Cloudera
FEBRUARY 8, 2021
A successful next-generation architecture must embody key characteristics including embedded intelligent edge computing, a secure and reliable embedded edge operating system, the ability to provide dynamic over-the-air updates, and an enterprise level advanced analytics and machine learning platform. scalability, ROI, and success.
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