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. Developed by Doug Cutting and Michael […].

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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. Let’s take a […].

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Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. 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! Apart from resource management, […].

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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 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

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

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. Big Data Sqoop can also be […].

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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. Introduction Since the 1970s, relational database management systems have solved the problems of storing and maintaining large volumes of structured data.

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

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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.

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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. 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. Selecting one among […].

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Data Lakes Hadoop Data Science Analytics 350

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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Data Science Dojo

AUGUST 27, 2024

In essence, data scientists use their skills to turn raw data into valuable information that can be used to improve products, services, and business strategies. Key concepts to master data science Data science is driving innovation across different sectors.

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Data Scientist Data Science Machine Learning Machine Learning 273

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

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

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

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

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. For clarity, Zookeeper can be […].

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Analytics Vidhya

JUNE 29, 2022

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

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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. It provides random real-time read and write access to the given data. HBase is an open-source non-relational, scalable, distributed database written in Java.

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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.

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Data Warehouse Hadoop Data Engineering Data Engineering 271

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).

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Analytics Vidhya

AUGUST 26, 2022

This article was published as a part of the Data Science Blogathon. 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. The most […].

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Data Science Dojo

AUGUST 27, 2024

In essence, data scientists use their skills to turn raw data into valuable information that can be used to improve products, services, and business strategies. Key concepts to master data science The Importance of Statistics Statistics is the foundation of data science.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

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 […].

Big Data 399

Big Data Big Data Database Data Science 399

Data Science Dojo

JULY 7, 2023

In the technology-driven world we inhabit, two skill sets have risen to prominence and are a hot topic: coding vs data science. Coding vs Data Science Coding goes beyond just software creation, impacting fields as diverse as healthcare, finance, and entertainment. What is Data Science?

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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

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

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How to Learn Machine Learning

APRIL 26, 2025

The field of data science is now one of the most preferred and lucrative career options available in the area of data because of the increasing dependence on data for decision-making in businesses, which makes the demand for data science hires peak.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Analytics Vidhya

DECEMBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon?

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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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Big Data Big Data Data Science Machine Learning 52