Big Data Blog Healthcare Storage 
Altexsoft
MARCH 16, 2021
But what happens to all the massive amounts of data from all these wearables and other medical and non-medical devices? How can it be used in healthcare besides informing individual users of their activity level? Definitely, the topic is way too extensive to be covered in a blog post, so we’re only going to make a succinct overview.
Cloudera
APRIL 6, 2022
This blog post was written by Elizabeth Howell, Ph.D At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. The telescope’s storage ability is limited — 65 gigabytes — which requires regular sending back of data to keep from filling up the hard drive.
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CTOvision
JULY 9, 2014
The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.
Kaseya
NOVEMBER 9, 2023
In this blog, we’ll delve into the advantages of the cloud and why it has become an indispensable tool for organizations of all sizes and across sectors. Storage: Cloud storage acts as a dynamic repository, offering scalable and resilient solutions for data management.
Perficient
FEBRUARY 28, 2023
In blog 2 of our data lakehouse blog series , we discussed how Perficient’s Healthy Lakehouse solution accelerates time and cost to value, and can help crack the code to success in delivering solutions. They wanted to become an operationally integrated, data-driven organization and realized they needed help getting there.
Altexsoft
AUGUST 4, 2020
Eighty percent of financial services executives report the success of their big data investments, but the value of big data in a variety of industries transcends the financial. In healthcare, for instance, big data can play a real role in saving lives through disease prevention. Genetic Mapping.
Altexsoft
FEBRUARY 11, 2023
It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);
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