Edureka

JUNE 1, 2023

Without spending a lot of money on hardware, it is possible to acquire virtual machines and install software to manage data replication, distributed file systems, and entire big data ecosystems. This happens often in data analytics since running reports on huge data processes is done once in a while.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

DECEMBER 28, 2021

Discretized Streams, or DStreams, are fundamental abstractions here, as they represent streams of data divided into small chunks(referred to as batches). The raw event data can be converted into structured data collected using a continuous ETL pipeline based on Kafka, Spark Streaming, and HDFS.

Architecture 52

Architecture Kafka Java Scala 52

ProjectPro

NOVEMBER 11, 2014

Confused over which framework to choose for big data processing - Hadoop MapReduce vs. Apache Spark. This blog helps you understand the critical differences between two popular big data frameworks. Hadoop and Spark are popular apache projects in the big data ecosystem.

Hadoop 40

Hadoop Scala Machine Learning Big Data 40

ProjectPro

JUNE 4, 2015

Big data applications using Apache Hadoop continue to run even if any of the individual cluster or server fails owing to the robust and stable nature of Hadoop. Table of Contents Big Data Hadoop Training Videos- What is Hadoop and its popular vendors? MapReduce breaks down a big data processing job into smaller tasks.

Hadoop 52

Hadoop Architecture IT Java 52