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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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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Hadoop Data Science Analytics Analytics 270

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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Hadoop Data Science Database Analytics 291

Analytics Vidhya

MAY 5, 2022

This article was published as a part of the Data Science Blogathon. The post A Beginners’ Guide to Apache Hadoop’s HDFS appeared first on Analytics Vidhya. 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

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

Towards AI

SEPTEMBER 28, 2023

This article explains what PySpark is, some common PySpark functions, and data analysis of the New York City Taxi & Limousine Commission Dataset using PySpark. PySpark is an interface for Apache Spark in Python. It leverages Apache Hadoop for both storage and processing. What is PySpark?

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Apache Hadoop Hadoop Python SQL 75

Pickl AI

DECEMBER 25, 2024

This article helps you choose the right path by exploring their differences, roles, and future opportunities. 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.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Precisely

MARCH 9, 2023

Hadoop, Snowflake, Databricks and other products have rapidly gained adoption. In this article, we’ll focus on a data lake vs. data warehouse. Apache Hadoop, for example, was initially created as a mechanism for distributed storage of large amounts of information. Other platforms defy simple categorization, however.

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Data Warehouse Data Lakes Hadoop Big Data 59

Women in Big Data

OCTOBER 9, 2024

Refer to Unlocking the Power of Big Data Article to understand the use case of these data collected from various sources. Data Ingestion: Data is collected and funneled into the pipeline using batch or real-time methods, leveraging tools like Apache Kafka, AWS Kinesis, or custom ETL scripts.

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Big Data Big Data Apache Kafka Data Pipeline 59

Pickl AI

JANUARY 12, 2025

Summary: The article explores the differences between data driven and AI driven practices. To confirm seamless integration, you can use tools like Apache Hadoop, Microsoft Power BI, or Snowflake to process structured data and Elasticsearch or AWS for unstructured data.

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Pickl AI

NOVEMBER 4, 2024

This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field. Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage.

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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.

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Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JULY 18, 2023

There are different programming languages and in this article, we will explore 8 programming languages that play a crucial role in the realm of Data Science. With its powerful ecosystem and libraries like Apache Hadoop and Apache Spark, Java provides the tools necessary for distributed computing and parallel processing.

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Data Science SQL Data Scientist Python 52

Mlearning.ai

MAY 16, 2023

This article discusses five commonly used architectural design patterns in data engineering and their use cases. One popular example of the MapReduce pattern is Apache Hadoop, an open-source software framework used for distributed storage and processing of big data.

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Data Engineering Data Engineering Data Engineer Data Engineering 52

Mlearning.ai

JULY 10, 2023

In my 7 years of Data Science journey, I’ve been exposed to a number of different databases including but not limited to Oracle Database, MS SQL, MySQL, EDW, and Apache Hadoop. Now let’s get into the main topic of the article.

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SQL Database Apache Hadoop Data Science 52

DagsHub

OCTOBER 23, 2024

This article will discuss managing unstructured data for AI and ML projects. Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Apache Hadoop Apache Hadoop is an open-source framework that supports the distributed processing of large datasets across clusters of computers.

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Machine Learning Machine Learning Data Lakes AI 52

IBM Journey to AI blog

JANUARY 18, 2023

This article endeavors to alleviate those confusions. It can include technologies that range from Oracle, Teradata and Apache Hadoop to Snowflake on Azure, RedShift on AWS or MS SQL in the on-premises data center, to name just a few. While this is encouraging, it is also creating confusion in the market.

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Data Lakes Data Warehouse Azure Apache Hadoop 52

Pickl AI

JULY 20, 2023

Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.

Analytics 40

Analytics Analytics Big Data Big Data 40

Mlearning.ai

AUGUST 18, 2023

In this article, we will examine various applications and use cases of data science in healthcare as well as investigate its benefits. The diverse technologies and techniques that we covered in this article can improve patient satisfaction, drive medical research, and make positive systematic change.

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Data Science Data Scientist Internet of Things Apache Hadoop 52