ProjectPro

JUNE 6, 2025

50 Cloud Computing Interview Questions and Answers f0r 2025 Basic Interview Questions on Cloud Computing Cloud Computing Interview Questions for Experienced How to prepare for a Cloud Computing Job Interview? Apache Spark - Apache Spark is an open-source analytics engine that computes and processes large datasets.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

Table of Contents Data Analysis Tools- What are they? Data Analysis Tools- How does Big Data Analytics Benefit Businesses? Top 15 Data Analysis Tools to Explore in 2025 | Trending Data Analytics Tools 1. Google Data Studio 10. Well, this blog will answer all these questions in one go! Power BI 4.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Acquiring a big data certification can make a significant difference in capitalizing on this opportunity and standing out in the highly competitive job market. These certifications serve as a validation of your skills and knowledge in working with large datasets. Prerequisites: There are no specific prerequisites to take this exam.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

Christophe Blefari

OCTOBER 20, 2023

a lea prepare command that creates database objects that needs to be created (dataset, schema, etc.). 25 million Creative Commons image dataset released — Fondant, an open-source processing framework, released publicly available images from web crawling with their associated license. What are the main differences?

Generalist 130

Generalist Entertainment NoSQL Data 130

ProjectPro

JUNE 6, 2025

One notable application is IBM Watson Health, which employs RAG techniques to analyze large datasets, including electronic health records (EHRs) and medical literature, to aid in cancer diagnosis and treatment recommendations.

Medical 40

Medical Electronics Healthcare Metadata 40

ProjectPro

JUNE 6, 2025

Azure Databricks embodies this philosophy by providing a user-friendly interface that simplifies data engineering complexities, helping professionals extract meaningful insights and drive business value. According to a report by IDC, worldwide data generation is projected to reach a staggering 175 zettabytes by 2025.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Data Analysis and Interpretation: The most crucial part of the data analyst’s job is analyzing data and drawing insightful conclusions. An aspiring data analyst must thus focus on building skills on interpretting various trends in the given dataset. to perform advanced analytical methods on a dataset.

Certification 40

Certification Data Mining Business Analyst BI 40

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

JUNE 6, 2025

A data engineer should be aware of how the data landscape is changing. They should also be mindful of how data systems have evolved and benefited data professionals. Explore the distinctions between on-premises and cloud data solutions. Different methods are used to store different types of data.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. For the second year running, we announced the winners to a global audience via a virtual ceremony.

Banking 77

Banking Data Lake Telecommunication Data 77

Knowledge Hut

NOVEMBER 27, 2023

In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB). In 2020, this number grew to 59 ZB and was expected to reach a whopping 175 ZB in 2025. Can you imagine the data that big? How can companies leverage the data that they have to solve problems or innovate with current ideas?

Data Science 97

Data Science Healthcare Telecommunication Machine Learning 97

Knowledge Hut

JULY 5, 2024

Hadoop and Spark: The cavalry arrived in the form of Hadoop and Spark, revolutionizing how we process and analyze large datasets. Cloud Era: Cloud platforms like AWS and Azure took center stage, making sophisticated data solutions accessible to all. As a field: The future of Data Engineering as a field definitely looks exciting.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Cleanse 52

ProjectPro

JUNE 6, 2025

Hadoop Framework works on the following two core components- 1)HDFS – Hadoop Distributed File System is the java based file system for scalable and reliable storage of large datasets. Data in HDFS is stored in the form of blocks and it operates on the Master-Slave Architecture. More data needs to be substantiated.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 6, 2025

Tired of looking for the ultimate guide to sourcing the perfect datasets for data science projects? This blog streamlines your search, guiding you toward the ideal datasets and accelerating your data science journey with ProjectPro's innovative hands-on projects. Data is the lifeblood of data science projects.

Datasets 40

Datasets Data Science Project Google Cloud 40

ProjectPro

JUNE 6, 2025

By using the production line dataset by Bosch , you can analyze data to predict internal failures by making use of data that contains information on tests and measurements obtained for each component. Topic modelling can also be used to classify large datasets of emails. to analyze the data. value_counts().plot(kind='bar',

Data Analytics 40

Data Analytics Project Insurance Datasets 40

Edureka

APRIL 15, 2025

. “Microsoft Fabric Data Engineer Associate ” is the official title of the DP-700, which is intended to verify professionals’ proficiency in using Microsoft Fabric to create reliable data solutions. Among the methods are: Using Lakehouses to Partition Large Datasets For efficiency, use Parquet file formats.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52