Knowledge Hut

JANUARY 18, 2024

GraphX , which is the distributed graph processing framework at the top of Apache Spark. Spark Streaming , which uses data in mini-batches for RDD transformations, allows the same set of application code that is created for batch analytics also to be used for streaming analytics.

Data Process 52

Data Process Process Hadoop Scala 52

ProjectPro

JANUARY 25, 2022

GraphFrames, like Apache Spark's GraphX package, offer general graph processing. All GraphX algorithms are accessible from Python and Java. It is designed for high-performance distributed computing. GraphFrames allow users to phrase queries using the familiar and powerful Spark SQL and DataFrames APIs.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

NOVEMBER 22, 2021

What are the elements used by the GraphX library, and how are they generated from an RDD? Spark RDD is extended with a robust API called GraphX, which supports graphs and graph-based calculations. GraphX offers a collection of operators that can allow graph computing, such as subgraph, mapReduceTriplets, joinVertices, and so on.

Hadoop 52

Hadoop Python Datasets Metadata 52

AltexSoft

JUNE 7, 2021

Native libraries: Spark Streaming, Spark SQL, MLlib, and GraphX. GraphX offers a set of operators and algorithms to run analytics on graph data. Running Spark on Kubernetes makes sense if a company plans to move the entire company techstack to the cloud-native infrastructure. Netflix for near real-time movie recommendations.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

NOVEMBER 11, 2014

Apache spark consists of five main components - spark core, Spark SQL (to gather information about structured data), spark streaming (for live data streams), ML Library, and GraphX. Due to its faster computational speed, Spark is better for handling real-time processing or immediate insights.

Hadoop 40

Hadoop Scala Machine Learning Java 40

AltexSoft

MAY 14, 2021

Also, Spark supports machine learning (MLlib), SQL, graph processing (GraphX). As one of the key players in the world of Big Data distributed processing, Apache Spark is developer-friendly as it provides bindings to the most popular programming languages used in data analysis like R and Python.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JUNE 24, 2021

Access Solution to Analysis of Yelp Dataset Data Analytics Projects for Grad Students using Spark Spark projects are a good way for students to gain a thorough understanding of the various components which are a part of the Spark ecosystem, including -Spark SQL, Spark Streaming, Spark MLlib, Spark GraphX.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

MAY 31, 2021

In this big data project, you'll work on a Spark GraphX Algorithm and a Network Crawler to mine the people relationships around various Github projects. Visualize Daily Wikipedia Trends using Hadoop - You'll build a Spark GraphX Algorithm and a Network Crawler to mine the people relationships around various Github projects.

Big Data 52

Big Data Coding Project Hadoop 52