Algorithm, Big Data Ecosystem, Structured Data and Unstructured Data

Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data.

Data Collection

Data Collection Machine Learning Unstructured Data Non-relational Database

Hadoop Ecosystem Components and Its Architecture

ProjectPro

JUNE 4, 2015

In our earlier articles, we have defined “What is Apache Hadoop” To recap, Apache Hadoop is a distributed computing open source framework for storing and processing huge unstructured datasets distributed across different clusters. Table of Contents Big Data Hadoop Training Videos- What is Hadoop and its popular vendors?

Hadoop

Hadoop Architecture IT Java

Hadoop MapReduce vs. Apache Spark Who Wins the Battle?

ProjectPro

NOVEMBER 11, 2014

Hadoop and Spark are popular apache projects in the big data ecosystem. Apache Spark is an improvement on the original Hadoop MapReduce component of the Hadoop big data ecosystem. With Apache Spark, you can write collection-oriented algorithms using Scala's functional programming language.

Hadoop

Hadoop Scala Machine Learning Java

Data Engineering Digest

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Hadoop Ecosystem Components and Its Architecture

Hadoop MapReduce vs. Apache Spark Who Wins the Battle?

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