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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Apache Hadoop Hadoop Big Data Analytics Big Data Analytics 271

Analytics Vidhya

FEBRUARY 27, 2023

Introduction The Hadoop Distributed File System (HDFS) is a Java-based file system that is Distributed, Scalable, and Portable. Due to its lack of POSIX conformance, some believe it to be data storage instead. HDFS and […] The post Top 10 Hadoop Interview Questions You Must Know appeared first on Analytics Vidhya.

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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

JANUARY 17, 2024

Introduction In the realm of Big Data, professionals are expected to navigate complex landscapes involving vast datasets, distributed systems, and specialized tools.

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Big Data Big Data Data Governance Analytics 333

Dataconomy

FEBRUARY 27, 2025

Hadoop has become synonymous with big data processing, transforming how organizations manage vast quantities of information. As businesses increasingly rely on data for decision-making, Hadoop’s open-source framework has emerged as a key player, offering a powerful solution for handling diverse and complex datasets.

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Hadoop Clustering Apache Hadoop Big Data 91

Analytics Vidhya

JUNE 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hadoop is an open-source, Java-based framework used to store and process large amounts of data. Data is stored on inexpensive asset servers that operate as clusters. Its distributed file system enables processing and tolerance of errors.

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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). Big Data Sqoop can also be […].

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Analytics Vidhya

SEPTEMBER 14, 2022

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. The post Frequent Itemset Mining Using MapReduce on Hadoop appeared first on Analytics Vidhya.

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Analytics Vidhya

FEBRUARY 23, 2023

Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data processing methods cannot handle it. The volume, velocity, and variety of Big Data can make it difficult to process and analyze.

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Analytics Vidhya

JULY 12, 2023

Best Big Data Softwares - Apache Hadoop, Apache Spark, apache Kafka, Apache Storm, Apache Cassandra, Apache Hive, zoho & more.

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Analytics Vidhya

OCTOBER 12, 2022

Introduction Since the 1970s, relational database management systems have solved the problems of storing and maintaining large volumes of structured data. With the advent of big data, several organizations realized the benefits of big data processing and started choosing solutions like Hadoop to […].

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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

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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Hadoop Data Engineer Data Engineering Data Engineering 271

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

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

FEBRUARY 2, 2023

Introduction Big data processing is crucial today. 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.

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Hadoop Big Data Analytics Big Data Analytics Big Data 306

Analytics Vidhya

AUGUST 1, 2022

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. It is ideal for real-time data processing or […].

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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.

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Data Analysis Data Analysis SQL Hadoop 283

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 Analytics Power BI Hadoop 357

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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Hadoop Analytics Analytics Big Data 337

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. Big Data storage and analysis […].

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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 28, 2020

The post Getting Started with Apache Hive – A Must Know Tool For all Big Data and Data Engineering Professionals appeared first on Analytics Vidhya. We will learn to do some basic operations in Apache Hive. Introduction Most of.

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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. The post 3 Reasons Why In-Hadoop Analytics are a Big Deal appeared first on Dataconomy.

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Hadoop Analytics Hadoop Apache Hadoop Analytics 132

Analytics Vidhya

MARCH 5, 2023

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data.

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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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Smart Data Collective

AUGUST 25, 2020

Web developers utilized data to some capacity as well, but marketers rarely considered doing so. Big data has become critical to the evolution of digital marketing. Hadoop technology is helping disrupt online marketing in various ways. This data can play a very important role in SEO.

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Hadoop Data Mining Data Mining Data Mining 137

Data Science Dojo

JULY 24, 2023

The generation and accumulation of vast amounts of data have become a defining characteristic of our world. This data, often referred to as Big Data , encompasses information from various sources, including social media interactions, online transactions, sensor data, and more. databases), semi-structured data (e.g.,

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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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Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

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Big Data Analytics Big Data Analytics Big Data Big Data 122

Pickl AI

APRIL 21, 2025

Summary: Big Data refers to the vast volumes of structured and unstructured data generated at high speed, requiring specialized tools for storage and processing. Data Science, on the other hand, uses scientific methods and algorithms to analyses this data, extract insights, and inform decisions.

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Smart Data Collective

FEBRUARY 21, 2020

Many careers have been heavily impacted by changes in big data. The big data revolution has had a profound effect on healthcare, marketing and many other fields. One of the fields that has been most affected by big data is electrical engineering. How Has Big Data changed the Career?

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Analytics Vidhya

JUNE 29, 2022

Hive, founded by Facebook and later Apache, is a data storage system created for the purpose of analyzing structured data. Operating under an open-source data platform called Hadoop, Apache Hive is a software application released in 2010 (October). appeared first on Analytics Vidhya. Introduced to […].

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Analytics Vidhya

AUGUST 26, 2022

Introduction Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark’s in-memory data processing capabilities make it 100 times faster than Hadoop. It has the ability to process a huge amount of data in such a short period. The most […].

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Hadoop Data Science Analytics Analytics 271

Smart Data Collective

SEPTEMBER 15, 2021

Apache Hadoop needs no introduction when it comes to the management of large sophisticated storage spaces, but you probably wouldn’t think of it as the first solution to turn to when you want to run an email marketing campaign. Some groups are turning to Hadoop-based data mining gear as a result.

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Precisely

JANUARY 9, 2025

Data marts soon evolved as a core part of a DW architecture to eliminate this noise. Data marts involved the creation of built-for-purpose analytic repositories meant to directly support more specific business users and reporting needs (e.g., financial reporting, customer analytics, supply chain management).

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Data Warehouse Hadoop Data Governance Data Lakes 119

Analytics Vidhya

AUGUST 31, 2022

Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale. You may run different types of analytics, from dashboards and visualizations to big data processing, real-time analytics, and machine […].

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