Knowledge Hut

MAY 23, 2024

Through Google Analytics, data scientists and marketing leaders can make better marketing decisions. Even a non-technical data science professional can utilize it to perform data analytics with its high-end functionalities and easy-to-work interface. Multipurpose Data science Tools 4. Visualization Tools 15.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

ProjectPro

APRIL 17, 2015

Big data companies are closely watching the latest trends in big data analytics to gain competitive advantage with the use of data. Businesses are wading into the big data trends as they do not want to take the risk of being left behind. IDC also forecasts that Big Data Analytics market will outpour from $3.2

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

AltexSoft

JULY 29, 2022

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. a suitable technology to implement data lake architecture. As a result, today we have a huge ecosystem of interoperable instruments addressing various challenges of Big Data.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

AUGUST 26, 2015

1997 -The term “BIG DATA” was used for the first time- A paper on Visualization published by David Ellsworth and Michael Cox of NASA’s Ames Research Centre mentioned about the challenges in working with large unstructured data sets with the existing computing systems. Truskowski. zettabytes.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

MARCH 23, 2016

In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003. Little did anyone know, that this research paper would change, how we perceive and process data. Read more about the connection between Hadoop vs Spark.

Hadoop 40

Hadoop IT Big Data Retail 40