Analytics Vidhya

SEPTEMBER 14, 2022

This article was published as a part of the Data Science Blogathon. The post Frequent Itemset Mining Using MapReduce on Hadoop appeared first on Analytics Vidhya. Frequent Itemset Mining is one of the most widely used methods for […]. Frequent Itemset Mining is one of the most widely used methods for […].

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Analytics Vidhya

JUNE 14, 2022

This article was published as a part of the Data Science Blogathon. Earlier to it, Hadoop MapReduce was the main focus for processing large data with no competitors. The post Apache Spark Vs. Hadoop MapReduce – Top 7 Differences appeared first on Analytics Vidhya. Introduction Apache Spark was released in 2014.

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Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. The post The Tale of Apache Hadoop YARN! Introduction YARN stands for Yet Another Resource Negotiator, a large-scale distributed data operating system used for Big Data Analytics. Apart from resource management, […]. Apart from resource management, […].

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Analytics Vidhya

MAY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction This article will discuss the Hadoop Distributed File System, its features, components, functions, and benefits. This article also describes the working and real-time applications. Both structured and complex data can […].

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Analytics Vidhya

JULY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction MapReduce is part of the Apache Hadoop ecosystem, a framework that develops large-scale data processing. Other components of Apache Hadoop include Hadoop Distributed File System (HDFS), Yarn, and Apache Pig.

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Analytics Vidhya

MAY 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. Initially, it was designed to handle log data solely, but later, it was developed to process event data. The post Get to Know Apache Flume from Scratch!

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Analytics Vidhya

MARCH 16, 2023

Introduction This article will be a deep guide for Beginners in Apache Oozie. Apache Oozie is a workflow scheduler system for managing Hadoop jobs. It enables users to plan and carry out complex data processing workflows while handling several tasks and operations throughout the Hadoop ecosystem.

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Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Sqoop is a big data engine for transferring data between Hadoop and relational database servers. Sqoop transfers data from RDBMS (Relational Database Management System) such as MySQL and Oracle to HDFS (Hadoop Distributed File System).

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Analytics Vidhya

OCTOBER 21, 2021

This article was published as a part of the Data Science Blogathon Overview Hadoop is widely used in the industry to examine large data volumes. Table of […].

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Analytics Vidhya

OCTOBER 12, 2022

This article was published as a part of the Data Science Blogathon. With the advent of big data, several organizations realized the benefits of big data processing and started choosing solutions like Hadoop to […]. The post A Brief Introduction to Apache HBase and it’s Architecture appeared first on Analytics Vidhya.

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Analytics Vidhya

MAY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hadoop facilitates the processing of large datasets in a distributed manner and provides the foundation on which other services and applications can be built. MapReduce and HDFS are the two main components of Hadoop.

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Analytics Vidhya

FEBRUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Hive is a data warehouse system built on top of Hadoop which gives the user the flexibility to write complex MapReduce programs in form of SQL- like queries. Performance Tuning is an essential part of running Hive Queries as it helps […].

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Analytics Vidhya

AUGUST 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction HBase is a column-oriented non-relational database management system that operates on Hadoop Distributed File System (HDFS). HBase provides a fault-tolerant manner of storing sparse data sets, which are prevalent in several big data use cases.

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Analytics Vidhya

JULY 11, 2022

This article was published as a part of the Data Science Blogathon. Previous versions of Hadoop only support […]. The post Architecture and Components of Apache YARN appeared first on Analytics Vidhya.

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Analytics Vidhya

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon What is the need for Hive? The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis.

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Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. You would have already worked on systems that used traditional warehouses or Hadoop-based data lakes. Introduction Most of you would know the different approaches for building a data and analytics platform. Some of you might have also read about Lakehouses.

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Analytics Vidhya

AUGUST 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Oozie is a distributed workflow scheduler for performing and controlling Hadoop tasks. MapReduce, Sqoop, Pig, and Hive jobs can be easily scheduled with this tool. It […].

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Analytics Vidhya

APRIL 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Hadoop is the most used open-source framework in the industry to store and process large data efficiently. Hive is built on the top of Hadoop for providing data storage, query and processing capabilities.

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Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Impala is an open-source and native analytics database for Hadoop. Vendors such as Cloudera, Oracle, MapReduce, and Amazon have shipped Impala. If you want to learn all things Impala, you’ve come to the right place.

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Analytics Vidhya

AUGUST 30, 2021

This article was published as a part of the Data Science Blogathon Introduction Spark is an analytics engine that is used by data scientists all over the world for Big Data Processing. It is built on top of Hadoop and can process batch as well as streaming data. Hadoop is a framework for distributed computing that […].

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Analytics Vidhya

SEPTEMBER 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Oozie is a Hadoop workflow scheduler. Users can design Directed Acyclic Graphs of workflows that can be run in parallel and sequentially in Hadoop. It is a system that manages the workflow of dependent tasks.

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Analytics Vidhya

AUGUST 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction Zookeeper in Hadoop can be considered a centralized repository where distributed applications can put data into and retrieve data from. It makes a distributed system work together as a whole using its synchronization, serialization, and coordination goals.

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Analytics Vidhya

MARCH 16, 2023

Introduction This article will be a deep guide for Beginners in Apache Oozie. Apache Oozie is a workflow scheduler system for managing Hadoop jobs. It enables users to plan and carry out complex data processing workflows while handling several tasks and operations throughout the Hadoop ecosystem.

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Analytics Vidhya

JUNE 29, 2022

This article was published as a part of the Data Science Blogathon. Operating under an open-source data platform called Hadoop, Apache Hive is a software application released in 2010 (October). What is Apache Hive? Hive, founded by Facebook and later Apache, is a data storage system created for the purpose of analyzing structured data.

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Analytics Vidhya

MAY 17, 2022

This article was published as a part of the Data Science Blogathon. It is developed as a part of the Hadoop ecosystem and runs on top of HDFS. HBase is an open-source non-relational, scalable, distributed database written in Java. It provides random real-time read and write access to the given data. It is possible to […].

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Analytics Vidhya

JUNE 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hive is a popular data warehouse built on top of Hadoop that is used by companies like Walmart, Tiktok, and AT&T. It is an important technology for data engineers to learn and master. It uses a declarative language called HQL, also known […].

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Analytics Vidhya

JULY 10, 2022

This article was published as a part of the Data Science Blogathon. The Apache Pig is built on top of Hadoop. Provides a stream of data processing for large data sets. Apache Pork offers a high-quality language. It is another way of quoting more than Reduce Map (MR). The pig system supports the simulation method. […].

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Analytics Vidhya

AUGUST 26, 2022

This article was published as a part of the Data Science Blogathon. Spark’s in-memory data processing capabilities make it 100 times faster than Hadoop. Introduction Apache Spark is an open-source unified analytics engine for large-scale data processing. It has the ability to process a huge amount of data in such a short period.

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Towards AI

AUGUST 10, 2023

Hadoop localhost User Interface. In this article, I will walk you through the simple installation of Hadoop on your local MacBook M1 or M2. Before we get started, I am confident you have a basic awareness of the key terminology in the Hadoop ecosystem. Upgrade to access all of Medium. Image by the author.

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Smart Data Collective

MARCH 27, 2019

The good news is that a number of Hadoop solutions can be invaluable for people that are trying to get the most bang for their buck. How does Hadoop technology help with key couponing and frugal living? Fortunately, Hadoop and other big data technologies are playing an important role in addressing all of these challenges.

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Analytics Vidhya

AUGUST 8, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon This article is focused on Apache Pig. It is a high-level. The post An Introduction to Apache Pig For Absolute Beginners! appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the sources of Big Data is the traditional application management system or the interaction of applications with relational databases using RDBMS. Such RDBMS-generated Big Data is kept in the relational database structure of Relational Database Servers.

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Analytics Vidhya

SEPTEMBER 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction I’ve always wondered how big companies like Google process their information or how companies like Netflix can perform searches in concise times.

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Analytics Vidhya

JULY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Apache Flume Apache Flume is a data ingestion mechanism for gathering, aggregating, and transmitting huge amounts of streaming data from diverse sources, such as log files, events, and so on, to a centralized data storage.

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Analytics Vidhya

JUNE 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction After reading the heading Apache Pig, the first question that hits every mind is, why the word Pig? Apache Pig is capable of working on any kind of data, similar to a pig who can eat anything. Pig is nothing but a […].

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Pickl AI

SEPTEMBER 19, 2024

Summary: This article compares Spark vs Hadoop, highlighting Spark’s fast, in-memory processing and Hadoop’s disk-based, batch processing model. Introduction Apache Spark and Hadoop are potent frameworks for big data processing and distributed computing. What is Apache Hadoop? What is Apache Spark?

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Analytics Vidhya

MARCH 7, 2023

In this article, we will discuss about Apache Flume, […] The post A Dive into Apache Flume: Installation, Setup, and Configuration appeared first on Analytics Vidhya. Flume is a tool that is very dependable, distributed, and customizable. einsteinerupload of.

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