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.

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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

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 […].

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Apache Hadoop Hadoop SQL Data Science 266

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

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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Hadoop Analytics Hadoop Apache Hadoop Analytics 132

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 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

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

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Hadoop Data Science Analytics Analytics 291

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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Hadoop Big Data Analytics Big Data Analytics Big Data 306

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

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

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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Hadoop Apache Hadoop Predictive Analytics Clustering 130

Data Science Dojo

JULY 6, 2023

Google BigQuery: Google BigQuery is a serverless, cloud-based data warehouse designed for big data analytics. It integrates well with other Google Cloud services and supports advanced analytics and machine learning features. Apache Spark: Apache Spark is an open-source, unified analytics engine designed for big data processing.

Data Engineering 195

Data Engineering Data Engineering Data Engineer Data Engineering 195

Analytics Vidhya

MARCH 8, 2023

.”― 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

Data Science Dojo

JANUARY 12, 2023

An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. Hadoop systems and data lakes are frequently mentioned together. However, instead of using Hadoop, data lakes are increasingly being constructed using cloud object storage services.

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Data Lakes Data Warehouse Hadoop Machine Learning 221

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. What is Business Analytics?

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Smart Data Collective

OCTOBER 14, 2019

From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. 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. Big Data Skillsets. NoSQL and SQL.

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Big Data Big Data Apache Hadoop Hadoop 99

Analytics Vidhya

JANUARY 2, 2023

The post Step-by-Step Roadmap to Become a Data Engineer in 2023 appeared first on Analytics Vidhya. 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

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 Analytics erreicht die nötige Reife Der Begriff Big Data war schon immer etwas schwammig und wurde von vielen Unternehmen und Experten schnell auch im Kontext kleinerer Datenmengen verwendet.

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Big Data Big Data Apache Hadoop Data Science 147

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.

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Hadoop Clustering Big Data Big Data 52

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?

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Hadoop Big Data Big Data Clustering 52

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Data processing is another skill vital to staying relevant in the analytics field. For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others.

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Analytics Analytics Data Analyst Machine Learning 111

Analytics Vidhya

MAY 5, 2022

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

Data Science 270

Data Science Analytics Analytics Apache Hadoop 270

IBM Journey to AI blog

MARCH 21, 2024

Artificial intelligence (AI) is revolutionizing industries by enabling advanced analytics, automation and personalized experiences. Leveraging distributed storage and processing frameworks such as Apache Hadoop, Spark or Dask accelerates data ingestion, transformation and analysis.

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Apache Hadoop AI AI Natural Language Processing 79

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Hadoop, Snowflake, Databricks and other products have rapidly gained adoption.

Data Warehouse 59

Data Warehouse Data Lakes Hadoop Big Data 59

Pickl AI

SEPTEMBER 17, 2024

Organisations can harness Big Data Analytics to identify trends, predict outcomes, and make informed decisions that were previously unattainable with smaller datasets. In many industries, real-time analytics are essential for making timely decisions. Apache Spark Spark is another open-source framework designed for fast computation.

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Pickl AI

DECEMBER 2, 2024

Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses.

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Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Women in Big Data

OCTOBER 9, 2024

After this, the data is analyzed, business logic is applied, and it is processed for further analytical tasks like visualization or machine learning. This phase ensures quality and consistency using frameworks like Apache Spark or AWS Glue. Stream Processing: Real-time data is processed using tools like Apache Kafka or Apache Flink.

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Big Data Big Data Apache Kafka Data Pipeline 59

Pickl AI

NOVEMBER 4, 2024

It involves developing data pipelines that efficiently transport data from various sources to storage solutions and analytical tools. OLAP (Online Analytical Processing): OLAP tools allow users to analyse data from multiple perspectives. Apache Spark Spark is a fast, open-source data processing engine that works well with Hadoop.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. However, you might be looking for a guide to help you understand the different types of Data Analytics projects you may undertake.

Analytics 40

Analytics Analytics Big Data Big Data 40

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

Pickl AI

JULY 18, 2023

With its powerful ecosystem and libraries like Apache Hadoop and Apache Spark, Java provides the tools necessary for distributed computing and parallel processing. Its speed and performance make it a favored language for big data analytics, where efficiency and scalability are paramount. Wrapping it up !!!

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

SEPTEMBER 11, 2024

Big Data as a Service (BDaaS) has emerged as a compelling solution, offering organisations the ability to leverage Big Data Analytics without the complexities of managing the underlying infrastructure. This layer includes tools and frameworks for data processing, such as Apache Hadoop, Apache Spark, and data integration tools.

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Big Data Big Data Big Data Analytics Big Data Analytics 52

Mlearning.ai

MAY 16, 2023

The message broker can then distribute the events to various subscribers such as data processing pipelines, machine learning models, and real-time analytics dashboards. Real-time analytics dashboards can subscribe to events and visualize the data in real time to monitor customer behavior and make data-driven decisions.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52