Apache Hadoop And Spark

Updated:01/20/2021 by Computer Hope

This HDFS tutorial designed to be an all in one package to answer all your questions about hadoop Component.

if you look forspark basicsclick here for complete Tutorial

How does Spark relate to Apache Hadoop?

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.Who is using Spark in production?

Who is using Spark in production?

As of 2016, surveys show that more than 1000 organizations are using Spark in production. Some of them are listed on the Powered By page and at the Spark Summit.

How large a cluster can Spark scale to?

Many organizations run Spark on clusters of thousands of nodes.
The largest cluster we know has 8000 of them. In terms of data size, Spark has been shown to work well up to petabytes.
It has been used to sort 100 TB of data 3X faster than Hadoop MapReduce on 1/10th of the machines, winning the 2014 Daytona GraySort Benchmark, as well as to sort 1 PB.
Several production workloads use Spark to do ETL and data analysis on PBs of data.

Machine Learning

  • Spark has a machine learning library, MLLib, in use for iterative machine learning applications in-memory. It’s available in Java, Scala, Python, or R, and includes classification, and regression, as well as the ability to build machine-learning pipelines with hyperparameter tuning.
  • Hadoop uses Mahout for processing data. Mahout includes clustering, classification, and batch-based collaborative filtering, all of which run on top of MapReduce. This is being phased out in favor of Samsara, a Scala-backed DSL language that allows for in-memory and algebraic operations, and allows users to write their own algorithms.

Conclusion :

Hadoop is an open source software developed by the Apache Software Foundation (ASF). You can download Hadoop directly from the project website at http://hadoop.apache.org. Cloudera is a company that provides support, consulting, and management tools for Hadoop. Cloudera also has a distribution of software called Cloudera’s Distribution Including Apache Hadoop (CDH).
Here in this article , while having distinct structures and functionalities, Hadoop and Spark can be used to great advantage. Hadoop's distributed storage can be utilised by Spark, and both can live together in a big data environment. Many businesses employ Spark for its effective, in-memory data processing engine and Hadoop for its storage capabilities (HDFS).