Remove Data Architecture Remove Data Storage Remove Hadoop Remove Telecommunication
article thumbnail

The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

In the realm of big data, Apache Spark’s speed and resilience, primarily due to its in-memory computing capabilities and fault tolerance, allow for the fast processing of large data volumes, which can often range into petabytes. Data analysis. However, it’s worth noting that this advantage is somewhat conditional.

article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. ML engineers work in close collaboration with the Data scientists throughout the Data Science pipeline.

article thumbnail

20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

Data Description: You will use the Covid-19 dataset(COVID-19 Cases.csv) from data.world , for this project, which contains a few of the following attributes: people_positive_cases_count county_name case_type data_source Language Used: Python 3.7 Big Data Project using Hadoop with Source Code for Web Server Log Processing 5.