Exploratory Data Analysis, Hadoop and Hypothesis Testing

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. 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.

Data Engineering

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Introduction to R Programming For Data Science

Pickl AI

JULY 10, 2023

R’s data manipulation capabilities make cleaning and preprocessing data easy before further analysis. · Statistical Analysis: R has a rich ecosystem of packages for statistical analysis.

Data Science

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Building ML Platform in Retail and eCommerce

The MLOps Blog

MAY 31, 2023

One might want to utilize an off-the-shelf ML Ops Platform to maintain different versions of data. To store Image data, Cloud storage like Amazon S3 and GCP buckets, Azure Blob Storage are some of the best options, whereas one might want to utilize Hadoop + Hive or BigQuery to store clickstream and other forms of text and tabular data.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Introduction to R Programming For Data Science

Building ML Platform in Retail and eCommerce

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