Remove Data Preparation Remove Machine Learning Remove Non-relational Database
article thumbnail

Power BI vs Tableau: Which Data Visualization Tool is Right for You?

Knowledge Hut

Data Visualization Tableau allows its users to customize dashboards specifically for devices. Machine Learning Tableau supports Python machine learning features. Connectivity with Live and In-Memory Data Allows the user to freely combine data from several types of data sources.

BI 98
article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

Outliers are data points that are very distant from the group and do not belong to any clusters or groups. They may also lead to misleading a machine learning or big data model. Explain the data preparation process. Data preparation is one of the essential steps in a big data project.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to Become an Azure Data Engineer in 2023?

ProjectPro

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Learning SQL is essential to comprehend the database and its structures.

article thumbnail

20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

In addition to analytics and data science, RAPIDS focuses on everyday data preparation tasks. This features a familiar DataFrame API that connects with various machine learning algorithms to accelerate end-to-end pipelines without incurring the usual serialization overhead.

article thumbnail

10 Best Big Data Books in 2024 [Beginners and Advanced]

Knowledge Hut

This big data book for beginners covers the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining.