The Accidental Successful CIO
MAY 15, 2019
CIOs need to understand what they are going to do with big data Image Credit: Merrill College of Journalism Press Releases. As a CIO, when we think about big data we are faced with a number of questions having to do with the importance of information technology that we have not had to deal with in the past.
Strategy Driven
AUGUST 27, 2015
The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.
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Altexsoft
MARCH 16, 2021
In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.
Hu's Place - HitachiVantara
APRIL 23, 2019
When she joined, what was then, Hitachi Data Systems-Denmark, we were a solid storage company with 15 -20% market share. Within 5 years, under her leadership, HDS Denmark was able to grow market share to 45-50% and became the number 1 storage vendor in the Danish market. With the help of her Hitachi Manager, she applied to Bo?azici
Altexsoft
JULY 29, 2022
The biggest star of the Big Data world, Hadoop was named after a yellow stuffed elephant that belonged to the 2-year son of computer scientist Doug Cutting. Source: The Wall Street Journal. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.
Altexsoft
SEPTEMBER 23, 2020
It exists on the pages of peer-reviewed medical journals and research papers. Here’s how precision medicine will work: Different types of data about a patient is collected. This can be data from surveys, tests, and wearables. This data is standardized for different systems to understand.
Confluent
FEBRUARY 6, 2019
This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. New MQTT input data can directly be used in real time to make predictions.
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