Knowledge Hut

MAY 2, 2024

Market Demands for Spark and MapReduce Apache Spark was originally developed in 2009 at UC Berkeley by the team who later founded Databricks. Also, there is no interactive mode available in MapReduce Spark has APIs in Scala, Java, Python, and R for all basic transformations and actions. It can also run on YARN or Mesos.

Hadoop 96

Hadoop Scala Datasets Java 96

Knowledge Hut

JANUARY 18, 2024

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. R has become increasingly popular among data scientists because of its ease of use and flexibility in handling complex analyses on large datasets.

Programming Language 98

Programming Language Data Science Programming Java 98

Knowledge Hut

JANUARY 18, 2024

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. R has become increasingly popular among data scientists because of its ease of use and flexibility in handling complex analyses on large datasets.

Programming Language 75

Programming Language Data Science Programming Java 75

Knowledge Hut

MAY 2, 2024

Apache Spark was developed by a team at UC Berkeley in 2009. Spark is developed in Scala programming language. It achieves this using abstraction layer called RDD (Resilient Distributed Datasets) in combination with DAG, which is built to handle failures of tasks or even node failures.

Scala 52

Scala Hospitality Healthcare Machine Learning 52

Data Science Blog: Data Engineering

JULY 4, 2022

Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner. Apache Spark began as a research project at UC Berkeley’s AMPLab, a student, researcher, and faculty collaboration centered on data-intensive application domains, in 2009. A Spark action, for instance, is count() on a dataset.

Hadoop 52

Hadoop Big Data Datasets Scala 52

U-Next

AUGUST 25, 2022

The Web Server Open Licence governs MongoDB databases’ creation, maintenance, and use, which were first made available in January 2009 by Mongo DB.ltd. js, Perl, PHP, Python, Motor, Ruby, Scala, Swift, and Mongoid. You may make as many datasets and groups as you like. What is MongoDB Database?

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

Knowledge Hut

OCTOBER 24, 2023

The purpose of data visualization projects is to identify patterns, trends, and anomalies or deviations in large datasets/big data (the main data for visualization projects); that otherwise would have been impossible. Can a dataset be divided into smaller parts? For practice, you can start off with the Spotify music dataset.

Project 52

Project BI Datasets Big Data 52