Data Management Data Visualization IBM Support Real-time Data 
Astera
OCTOBER 19, 2023
Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. Despite intensive regulations, data breaches continue to result in significant financial losses for organizations every year. According to IBM research , in 2022, organizations lost an average of $4.35
Astera
FEBRUARY 6, 2024
IBM estimates that the insurance industry contributes significantly to the creation of 2.5 quintillion bytes of data every day, with claims data being a major contributor to this massive volume. Manual processing of this data is no longer practical, given the large data volume.
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Data Pine
AUGUST 29, 2022
4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. Best for: For readers that want to learn the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they’re built. The author, Anil Maheshwari, Ph.D.,
Astera
APRIL 10, 2023
In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals.
Astera
APRIL 24, 2024
The platform leverages a high-performing ETL engine for efficient data movement and transformation, including mapping, cleansing, and enrichment. Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows.
Insight Software
JULY 17, 2023
When your customers deliver analytics and reporting, the data visualization experience should be a memorable one. Your customers and their users need real-time data to tell an engaging, flexible, and accurate story to drive impactful business results. Where do you go to get the latest on a breaking media story?
Insight Software
MAY 9, 2024
Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. For example, streaming data from sensors to an analytics platform where it is processed and visualized immediately.
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