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. This article was published as a part of the Data Science Blogathon What is the need for Hive?

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Apache Hadoop Data Warehouse Hadoop SQL 349

Analytics Vidhya

FEBRUARY 27, 2023

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

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Hadoop Analytics Analytics Apache Hadoop 318

Analytics Vidhya

JULY 12, 2023

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

Apache Kafka 266

Apache Kafka Apache Hadoop Big Data Big Data 266

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.

Big Data 269

Big Data Big Data Apache Hadoop Hadoop 269

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. Apache Hive provides an SQL-like query system for querying […].

Apache Hadoop 266

Apache Hadoop Hadoop SQL Data Science 266

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.

Hadoop 208

Hadoop Data Science Analytics Analytics 208

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.

Hadoop Analytics 132

Hadoop Analytics Hadoop Apache Hadoop Analytics 132

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 is a powerful resource management system for a horizontal server environment.

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Hadoop Analytics Analytics Apache Hadoop 326

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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Hadoop Analytics Analytics Apache Hadoop 316

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

Hadoop 291

Hadoop Data Science Analytics Analytics 291

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.

Hadoop 130

Hadoop Apache Hadoop Predictive Analytics Clustering 130

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.

Hadoop 270

Hadoop Data Science Analytics Analytics 270

Analytics Vidhya

FEBRUARY 2, 2023

Hadoop, the Open-Source Software Framework for scalable and scattered computation of massive data sets, makes it easy. While MapReduce, Hive, Pig, and Cascading are all useful tools, completing all necessary processing or computing […] The post An Ultimate Manual to Apache Oozie appeared first on Analytics Vidhya.

Hadoop 306

Hadoop Big Data Analytics Big Data Analytics Big Data 306

Data Science Dojo

JULY 6, 2023

Apache Hadoop: Apache Hadoop is an open-source framework for distributed storage and processing of large datasets. Hadoop consists of the Hadoop Distributed File System (HDFS) for distributed storage and the MapReduce programming model for parallel data processing.

Data Engineering 195

Data Engineering Data Engineering Data Engineer Data Engineering 195

Analytics Vidhya

AUGUST 17, 2022

Introduction Impala is an open-source and native analytics database for Hadoop. This article was published as a part of the Data Science Blogathon. 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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Hadoop Data Science Database Analytics 291

Data Science Dojo

JANUARY 12, 2023

Hadoop systems and data lakes are frequently mentioned together. Data is loaded into the Hadoop Distributed File System (HDFS) and stored on the many computer nodes of a Hadoop cluster in deployments based on the distributed processing architecture.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Smart Data Collective

OCTOBER 14, 2019

With big data careers in high demand, the required skillsets will include: Apache Hadoop. Software businesses are using Hadoop clusters on a more regular basis now. Apache Hadoop develops open-source software and lets developers process large amounts of data across different computers by using simple models.

Big Data 99

Big Data Big Data Apache Hadoop Hadoop 99

Pickl AI

JULY 29, 2024

Summary: A Hadoop cluster is a collection of interconnected nodes that work together to store and process large datasets using the Hadoop framework. Introduction A Hadoop cluster is a group of interconnected computers, or nodes, that work together to store and process large datasets using the Hadoop framework.

Hadoop 52

Hadoop Clustering Big Data Big Data 52

Data Science Blog

MARCH 14, 2023

In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. 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.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

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?

Hadoop 52

Hadoop Big Data Big Data Clustering 52

Towards AI

SEPTEMBER 28, 2023

Apache Spark: Apache Spark is an open-source data processing framework for processing large datasets in a distributed manner. It leverages Apache Hadoop for both storage and processing. It does in-memory computations to analyze data in real-time. select: Projects a… Read the full blog for free on Medium.

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Apache Hadoop Hadoop Python SQL 75

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

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Data Science Analytics Analytics Apache Hadoop 345

Analytics Vidhya

JANUARY 2, 2023

Introduction You must have noticed the personalization happening in the digital world, from personalized Youtube videos to canny ad recommendations on Instagram. While not all of us are tech enthusiasts, we all have a fair knowledge of how Data Science works in our day-to-day lives. All of this is based on Data Science which is […].

Data Engineering 329

Data Engineering Data Engineering Data Engineer Data Engineering 329

Analytics Vidhya

MAY 5, 2022

The post A Beginners’ Guide to Apache Hadoop’s HDFS appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction With a huge increment in data velocity, value, and veracity, the volume of data is growing exponentially with time.

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Data Science Analytics Analytics Apache Hadoop 270

IBM Journey to AI blog

MARCH 21, 2024

Leveraging distributed storage and processing frameworks such as Apache Hadoop, Spark or Dask accelerates data ingestion, transformation and analysis. Accelerated data processing Efficient data processing pipelines are critical for AI workflows, especially those involving large datasets.

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Apache Hadoop AI AI Natural Language Processing 79

Pickl AI

DECEMBER 25, 2024

Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. They must also stay updated on tools such as TensorFlow, Hadoop, and cloud-based platforms like AWS or Azure. Programming languages like Python and R are commonly used for data manipulation, visualization, and statistical modeling.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Precisely

MARCH 9, 2023

Hadoop, Snowflake, Databricks and other products have rapidly gained adoption. We will also address some of the key distinctions between platforms like Hadoop and Snowflake, which have emerged as valuable tools in the quest to process and analyze ever larger volumes of structured, semi-structured, and unstructured data.

Data Warehouse 59

Data Warehouse Data Lakes Hadoop Big Data 59

Smart Data Collective

MAY 20, 2019

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. Data processing is another skill vital to staying relevant in the analytics field. Professionals adept at this skill will be desirable by corporations, individuals and government offices alike.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Console DevTools podcast

JANUARY 26, 2022

She was previously an Ethereum Core Developer, and continues to push the broader web3 space forward with standards like UCAN auth and the Webnative File System.

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Apache Hadoop Hadoop 40

Women in Big Data

OCTOBER 9, 2024

This phase ensures quality and consistency using frameworks like Apache Spark or AWS Glue. Batch Processing: For large datasets, frameworks like Apache Hadoop MapReduce or Apache Spark are used. Stream Processing: Real-time data is processed using tools like Apache Kafka or Apache Flink.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Pickl AI

SEPTEMBER 17, 2024

This section will highlight key tools such as Apache Hadoop, Spark, and various NoSQL databases that facilitate efficient Big Data management. Apache Hadoop Hadoop is an open-source framework that allows for distributed storage and processing of large datasets across clusters of computers using simple programming models.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Distributed File Systems: Technologies such as Hadoop Distributed File System (HDFS) distribute data across multiple machines to ensure fault tolerance and scalability. Data lakes and cloud storage provide scalable solutions for large datasets.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Distributed File Systems: Technologies such as Hadoop Distributed File System (HDFS) distribute data across multiple machines to ensure fault tolerance and scalability. Data lakes and cloud storage provide scalable solutions for large datasets.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Mlearning.ai

MAY 23, 2023

Check out this course to build your skillset in Seaborn —  [link] Big Data Technologies Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks is becoming increasingly important as the volume and complexity of data continue to grow.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 4, 2024

Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage. Apache Hadoop Hadoop is a powerful framework that enables distributed storage and processing of large data sets across clusters of computers.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

AUGUST 1, 2023

Hadoop: The Definitive Guide by Tom White This comprehensive guide delves into the Apache Hadoop ecosystem, covering HDFS, MapReduce, and big data processing. Key Benefits & Takeaways: Master Python’s data processing capabilities, making you proficient in data cleaning, wrangling, and exploration.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Big Data Technologies: Hadoop, Spark, etc. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52