Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

Towards Data Science

DECEMBER 15, 2023

For a data scientist, there’s no such thing as too much data. Photo by Trnava University on Unsplash Data Science vs Security/IT: A Battle for the Ages Acquiring and keeping data is the focus of a huge amount of our mental energy as data scientists. followed by “How much data do you have?”

Machine Learning 93

Machine Learning Data Science Data Security Data Storage 93

Cloudera

APRIL 6, 2022

At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. 25 2021 on a mission to look at the early universe, at exoplanets, and at other objects of celestial interest. “So far, our data is matching our models and expectations,” Feinberg added.

Big Data 98

Big Data Machine Learning Medical Insurance 98

Maxime Beauchemin

JANUARY 20, 2017

By the time I left in 2013, I was a data engineer. We were data engineers! Data Engineering? Data science as a discipline was going through its adolescence of self-affirming and defining itself. At the same time, data engineering was the slightly younger sibling, but it was going through something similar.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

ProjectPro

JUNE 24, 2021

According to Gartner , organizations can suffer a financial loss of up to 15 million dollars for the poor quality of data. As per McKinsey , 47% of organizations believe that data analytics has impacted the market in their respective industries. This number grew to 67.9% as of 2018, and is only increasing from there.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

Cloudera

DECEMBER 11, 2017

Even though the shrinking space phenomenon is hotly debated in civil society circles, it is yet unclear to what extent its full importance is being recognized by broader groups of citizens and businesses. Challenges to the effective use of data include questions of data ethics, privacy, governance, and cybersecurity.

Media 40

Media Government Portfolio Education 40

Snowflake

JANUARY 24, 2023

Challenges with security data at CMS Security data at CMS was traditionally siloed across teams within the organization. There were often parallel efforts to ingest, store, and normalize the same data in multiple ways. According to Raounak, “Today, data is the first-class citizen and not the security tools.

Data Lake 53

Data Lake IT Insurance AWS 53