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itweb | April 20, 2020
The proliferation of big data from a multitude of structured and unstructured sources makes it easy to gather vast quantities of information for use in advanced analytics, predictive marketing and robotic process automation. The challenge, of course, is that it is not always easy to determine if there are inaccuracies in such high-speed and high-volume data – and if the data that drives what you are doing is bad, then even the most sophisticated tools are essentially worthless.This is the ...
BIG DATA MANAGEMENT
Nokia | February 22, 2022
As advanced 5G services are rolled out, Nokia announced two new SaaS (Software-as-a-Service) services in the areas of analytics and security as part of its strategy to give communication service providers (CSPs) and corporates a far more flexible and cost-effective method of servicing their customers, operating, and monetizing their networks. The new services follow Nokia's recent entry into the SaaS space, which aims to help CSPs and enterprises boost the time to value they d...
DATA SCIENCE
KNIME | June 10, 2022
KNIME, the open source data science company, today announced a strategic partnership with Snowflake, the Data Cloud company, to democratize access to data analytics across all roles and departments. Understanding data is critical for creating business value. With the global data analytics market worth more than $200 billion, it’s necessary for as many people as possible across roles, departments and industries to have access to analytics in their daily jobs for overall bette...
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Privacera | September 12, 2022
Privacera, the unified data access governance leader founded by the creators of Apache Ranger™, today announced the availability of its AWS Lake Formation integration in private preview, which offers complete data governance automation and fine-grained data access for AWS services including Amazon S3, Amazon Redshift and Amazon RDS. Privacera helps enterprise data teams protect sensitive data and enable privacy across all on-premise, hybrid and multi-cloud data sources while reducing time ...
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