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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Apache Hadoop Hadoop SQL Data Science 266

Analytics Vidhya

MARCH 8, 2023

.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

Pickl AI

DECEMBER 25, 2024

Summary: Business Analytics focuses on interpreting historical data for strategic decisions, while Data Science emphasizes predictive modeling and AI. Introduction In today’s data-driven world, businesses increasingly rely on analytics and insights to drive decisions and gain a competitive edge.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Analytics Vidhya

MAY 27, 2022

Every time you put on a dog filter, watch cat videos or order food from your favourite restaurant, you generate data. Imagine how much data millions of other people are doing the […]. The post An Introduction to Hadoop Ecosystem for Big Data appeared first on Analytics Vidhya.

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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

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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Hadoop Analytics Analytics Apache Hadoop 326

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. source: -[link] It rapidly processes large […].

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Hadoop Data Science Database Analytics 291

Analytics Vidhya

FEBRUARY 27, 2023

HDFS and […] The post Top 10 Hadoop Interview Questions You Must Know appeared first on Analytics Vidhya. Still, it does include shell commands and Java Application Programming Interface (API) functions that are similar to other file systems.

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Hadoop Analytics Analytics Apache Hadoop 318

Analytics Vidhya

FEBRUARY 14, 2023

Apache Oozie is one such job scheduler that allows users to run, schedule, and manage Hadoop jobs in a distributed environment. Source: […] The post Top 5 Interview Questions on Apache Oozie appeared first on Analytics Vidhya.

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Hadoop Analytics Analytics Apache Hadoop 316

Analytics Vidhya

MAY 18, 2022

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. For a detailed look at HDFS, you can refer […].

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Hadoop Data Science Analytics Analytics 291

Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

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Big Data Big Data Apache Hadoop Data Science 147

Analytics Vidhya

MAY 5, 2022

This outgrows the storage limit and enhances the demand for storing the data across a network of machines. The post A Beginners’ Guide to Apache Hadoop’s HDFS appeared first on Analytics Vidhya. A unique filesystem is required to […].

Data Science 270

Data Science Analytics Analytics Apache Hadoop 270

Smart Data Collective

OCTOBER 14, 2019

Whether they want a career as an app developer or data analyst, the skillsets below can help them find lucrative careers in a competitive job market. Big Data Skillsets. From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. Apache Spark.

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Big Data Big Data Apache Hadoop Hadoop 99

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineer 52

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Analytics Vidhya

MAY 5, 2022

Hadoop is a powerful platform for supporting an enormous variety of data applications. Both structured and complex data can […]. The post Workings of Hadoop Distributed File System (HDFS) appeared first on Analytics Vidhya.

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Hadoop Data Science Analytics Analytics 208

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Read more to know.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Mlearning.ai

MAY 16, 2023

Data engineering is a rapidly growing field that designs and develops systems that process and manage large amounts of data. There are various architectural design patterns in data engineering that are used to solve different data-related problems.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Women in Big Data

OCTOBER 9, 2024

Once ingested, the data is prepared through filtering, error correction, and restructuring for ease of use. After this, the data is analyzed, business logic is applied, and it is processed for further analytical tasks like visualization or machine learning.

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Big Data Big Data Apache Kafka Data Pipeline 59

DagsHub

OCTOBER 23, 2024

To combine the collected data, you can integrate different data producers into a data lake as a repository. A central repository for unstructured data is beneficial for tasks like analytics and data virtualization. Data Cleaning The next step is to clean the data after ingesting it into the data lake.

Machine Learning 52

Machine Learning Machine Learning AI AI 52