Remove Big Data Remove Data Engineering Remove Journal Remove Programming
article thumbnail

Big Data in Healthcare: Sources and Real-World Applications

Altexsoft

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.

Big Data 116
article thumbnail

The Good and the Bad of Hadoop Big Data Framework

Altexsoft

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Doing Business in a Big Data World

Strategy Driven

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.

article thumbnail

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

article thumbnail

Top Data science books you should definitely read

Apiumhub

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Top Data science books you should definitely read.