Knowledge Hut

JANUARY 18, 2024

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. What Is Data Science?

Programming Language 98

Programming Language Data Science Programming Scala 98

Knowledge Hut

JANUARY 18, 2024

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. What Is Data Science?

Programming Language 75

Programming Language Data Science Programming Scala 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 Retail 52

Knowledge Hut

DECEMBER 27, 2023

According to the Wikipedia definition, A programming language is a notation for writing programs, which are specifications of a computation or algorithm ("Programming language"). Go Go / Golang was introduced by two Google Engineers in 2009. What is a Programming Language? Go borrows syntax heavily from C and Java.

Programming Language 52

Programming Language Programming Java Scala 52

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.

Scala 96

Scala Hadoop Datasets Java 96

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. The reason is, visualizing complex algorithms is a lot easier to understand than numerical outputs.

Project 52

Project BI Datasets Big Data 52