Analytics Vidhya

OCTOBER 23, 2020

Overview Hadoop is among the most popular tools in the data engineering and Big Data space Here’s an introduction to everything you need to. The post Introduction to the Hadoop Ecosystem for Big Data and Data Engineering appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 14, 2022

Introduction Hadoop is an open-source, Java-based framework used to store and process large amounts of data. The post Introduction to Hadoop Architecture and Its Components appeared first on Analytics Vidhya. The post Introduction to Hadoop Architecture and Its Components appeared first on Analytics Vidhya.

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Analytics Vidhya

MAY 31, 2022

Introduction YARN stands for Yet Another Resource Negotiator, a large-scale distributed data operating system used for Big Data Analytics. The post The Tale of Apache Hadoop YARN! appeared first on Analytics Vidhya. Apart from resource management, […].

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Analytics Vidhya

SEPTEMBER 14, 2022

The post Frequent Itemset Mining Using MapReduce on Hadoop appeared first on Analytics Vidhya. Introduction Every Data Science enthusiast’s journey goes through one of the most classical data problems – Frequent Itemset Mining, also sometimes referred to as Association Rule Mining or Market Basket Analysis.

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Hadoop Data Science Analytics Analytics 288

Analytics Vidhya

JUNE 14, 2022

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. Let’s take a […].

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Analytics Vidhya

FEBRUARY 5, 2023

Big data […] The post A Beginner’s Guide to the Basics of Big Data and Hadoop appeared first on Analytics Vidhya. Big data is nothing but the vast volume of datasets measured in terabytes or petabytes or even more.

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Analytics Vidhya

OCTOBER 28, 2020

Overview Get familiar with Hadoop Distributed File System (HDFS) Understand the Components of HDFS Introduction In contemporary times, it is commonplace to deal. The post Hadoop Distributed File System (HDFS) Architecture – A Guide to HDFS for Every Data Engineer appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 5, 2022

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. This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

MAY 5, 2022

Introduction This article will discuss the Hadoop Distributed File System, its features, components, functions, and benefits. Hadoop is a powerful platform for supporting an enormous variety of data applications. The post Workings of Hadoop Distributed File System (HDFS) appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 11, 2023

Introduction Amazon Elastic MapReduce (EMR) is a fully managed service that makes it easy to process large amounts of data using the popular open-source framework Apache Hadoop. EMR enables you to run petabyte-scale data warehouses and analytics workloads using the Apache Spark, Presto, and Hadoop ecosystems.

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Analytics Vidhya

MAY 21, 2023

This is precisely what happens in data analytics. People equipped with the […] The post 10 Best Data Analytics Projects appeared first on Analytics Vidhya. With something so profound in daily life, there should be an entire domain handling and utilizing it.

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Analytics Vidhya

MAY 12, 2022

Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. appeared first on Analytics Vidhya. Initially, it was designed to handle log data solely, but later, it was developed to process event data. The Apache Flume tool is designed mainly for ingesting a high volume […].

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Analytics Vidhya

MARCH 16, 2023

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

JANUARY 7, 2022

In today’s world, data is being generated at an ever-growing pace, leading to a boom in demand for Big Data tools such as Hadoop, Pig, Spark, Hive, and many more. The tool that stands out the most is Apache Hadoop, and one of its core components is YARN. Apache Hadoop YARN, or as it is […].

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Analytics Vidhya

JULY 25, 2022

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). The post Introduction to Apache Sqoop appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 31, 2023

It is designed to be more flexible and generic than the original Hadoop MapReduce system, making it an attractive choice for companies looking to implement Hadoop. It allows companies to process data types and run […] The post YARN for Large Scale Computing: Beginner’s Edition appeared first on Analytics Vidhya.

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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. The reason for this is that the Hadoop framework is based on a basic programming model (MapReduce), which allows for a scalable, flexible, fault-tolerant, and cost-effective computing solution.

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Analytics Vidhya

FEBRUARY 1, 2023

Introduction In this constantly growing technical era, big data is at its peak, with the need for a tool to import and export the data between RDBMS and Hadoop. Apache Sqoop stands for “SQL to Hadoop,” and is one such tool that transfers data between Hadoop(HIVE, HBASE, HDFS, etc.)

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Analytics Vidhya

FEBRUARY 14, 2023

Introduction Today we have an abundance of Hadoop jobs that are running in a constant plane, but we can’t schedule these jobs manually, we need some kind of scheduler to handle this flow. Apache Oozie is one such job scheduler that allows users to run, schedule, and manage Hadoop jobs in a distributed environment.

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Dataconomy

APRIL 21, 2016

Recent technology advances within the Apache Hadoop ecosystem have provided a big boost to Hadoop’s viability as an analytics environment—above and beyond just being a good place to store data. Leveraging these advances, new technologies now support SQL on Hadoop, making in-cluster analytics of data in Hadoop a reality.

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Analytics Vidhya

OCTOBER 12, 2022

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

MARCH 5, 2023

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. HDInsight works seamlessly with the Hadoop ecosystem, which includes technologies like MapReduce, Hive, […] The post Top 6 Microsoft HDFS Interview Questions appeared first on Analytics Vidhya.

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Analytics Vidhya

OCTOBER 10, 2022

Introduction Most of you would know the different approaches for building a data and analytics platform. You would have already worked on systems that used traditional warehouses or Hadoop-based data lakes. appeared first on Analytics Vidhya. Some of you might have also read about Lakehouses. Selecting one among […].

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Data Lakes Hadoop Data Science Analytics 350

Analytics Vidhya

MAY 18, 2022

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. The post An Introduction to MapReduce with a Word Count Example appeared first on Analytics Vidhya.

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Analytics Vidhya

FEBRUARY 20, 2022

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. The post Performance Tuning Practices in Hive appeared first on Analytics Vidhya.

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Hadoop Data Warehouse SQL Data Science 333

Analytics Vidhya

AUGUST 1, 2022

Introduction HBase is a column-oriented non-relational database management system that operates on Hadoop Distributed File System (HDFS). The post Most Frequently Asked Apache HBase Interview Questions appeared first on Analytics Vidhya. It is ideal for real-time data processing or […].

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Analytics Vidhya

FEBRUARY 2, 2023

Big data analytics and learning help corporations foresee client demands, provide useful recommendations, and more. Hadoop, the Open-Source Software Framework for scalable and scattered computation of massive data sets, makes it easy. Introduction Big data processing is crucial today.

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Analytics Vidhya

JULY 11, 2022

Introduction YARN is an open-source project for Apache representing “Yet Another Resource Negotiator” Hadoop Collection Manager is responsible for sharing resources (such as CPU, memory, disk, and network), and organizing and monitoring tasks throughout the Hadoop collection.

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Analytics Vidhya

FEBRUARY 6, 2023

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers.

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Analytics Vidhya

OCTOBER 28, 2021

The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis. The post Introduction to Partitioned hive table and PySpark appeared first on Analytics Vidhya.

Apache Hadoop 349

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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 […].

Data Analysis 283

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Analytics Vidhya

AUGUST 2, 2022

Introduction Apache Oozie is a distributed workflow scheduler for performing and controlling Hadoop tasks. The post Top Interview Questions & Answers for Apache Oozie appeared first on Analytics Vidhya. MapReduce, Sqoop, Pig, and Hive jobs can be easily scheduled with this tool. It […].

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Analytics Vidhya

AUGUST 17, 2022

Introduction Impala is an open-source and native analytics database for Hadoop. The post What is Apache Impala- Features and Architecture appeared first on Analytics Vidhya. 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

APRIL 29, 2022

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. The post An Overview on DDL Commands in Apache Hive appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 20, 2022

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. The post Top 20 Apache Oozie Interview Questions appeared first on Analytics Vidhya. It is a system that manages the workflow of dependent tasks.

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Analytics Vidhya

MARCH 16, 2023

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.

ETL 258

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Analytics Vidhya

AUGUST 3, 2022

Introduction Zookeeper in Hadoop can be considered a centralized repository where distributed applications can put data into and retrieve data from. The post Apache Zookeeper Architecture and Installation appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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