Towards Data Science

JANUARY 16, 2024

Image by the author 2004 to 2010 — The elephant enters the room New wave of applications emerged — Social Media, Software observability, etc. New data formats emerged — JSON, Avro, Parquet, XML etc. Result: Hadoop & NoSQL frameworks emerged. Data lakes were introduced to store the new data formats.

Data Warehouse 63

Data Warehouse Data Architecture Relational Database NoSQL 63

Knowledge Hut

MARCH 27, 2024

MongoDB This free, open-source platform, which came into the limelight in 2010, is a document-oriented (NoSQL) database that is used to store a large amount of information in a structured manner. The first is the type of data you have, which will determine the tool you need.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

AltexSoft

JULY 27, 2021

line from “Taxi Driver” over and over again but still hate “lame” 2010’s comedies featuring him. Taking into account all the pros and cons, it’s fair to say that content-based filtering models fill the bill when there isn’t enough interaction data. Or you may use a mix of different data repositories depending on the purposes.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

ProjectPro

JUNE 4, 2015

Image Credit: slidehshare.net HDFS Use Case- Nokia deals with more than 500 terabytes of unstructured data and close to 100 terabytes of structured data. Nokia uses HDFS for storing all the structured and unstructured data sets as it allows processing of the stored data at a petabyte scale.

Hadoop 52

Hadoop Architecture IT Java 52

ProjectPro

AUGUST 6, 2015

Companies like Electronic Arts, Riot Games are using big data for keeping a track of game play which helps predict performance of the play by analysing 4TB of operational logs and 500GB of structured data. Sports brands like ESPN have also got on to the big data bandwagon.

Big Data 52

Big Data Hadoop Insurance Media 52