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.

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IBM Journey to AI blog

MARCH 21, 2024

In this blog, we’ll explore seven key strategies to optimize infrastructure for AI workloads, empowering organizations to harness the full potential of AI technologies. Leveraging distributed storage and processing frameworks such as Apache Hadoop, Spark or Dask accelerates data ingestion, transformation and analysis.

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Pickl AI

SEPTEMBER 17, 2024

Summary: This blog delves into the multifaceted world of Big Data, covering its defining characteristics beyond the 5 V’s, essential technologies and tools for management, real-world applications across industries, challenges organisations face, and future trends shaping the landscape.

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AWS Machine Learning Blog

MAY 16, 2024

With Amazon EMR, which provides fully managed environments like Apache Hadoop and Spark, we were able to process data faster. The data preprocessing batches were created by writing a shell script to run Amazon EMR through AWS Command Line Interface (AWS CLI) commands, which we registered to Airflow to run at specific intervals.

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Pickl AI

JULY 10, 2023

Hence, you can use R for classification, clustering, statistical tests and linear and non-linear modelling. Packages like caret, random Forest, glmnet, and xgboost offer implementations of various machine learning algorithms, including classification, regression, clustering, and dimensionality reduction. How is R Used in Data Science?

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Pickl AI

MARCH 10, 2023

The following blog will discuss the familiar Data Science challenges professionals face daily. It contains data clustering, classification, anomaly detection and time-series forecasting. Some of the tools used by Data Science in 2023 include statistical analysis system (SAS), Apache, Hadoop, and Tableau.

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Pickl AI

JULY 18, 2023

Read Blog Advanced SQL Tips and Tricks for Data Analysts 4. With its powerful ecosystem and libraries like Apache Hadoop and Apache Spark, Java provides the tools necessary for distributed computing and parallel processing. SAS provides a wide range of statistical procedures and algorithms.

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