Remove Data Mining Remove Data Security Remove Data Storage Remove Hadoop
article thumbnail

Top 8 Hadoop Projects to Work in 2024

Knowledge Hut

Imagine having a framework capable of handling large amounts of data with reliability, scalability, and cost-effectiveness. That's where Hadoop comes into the picture. Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Why Are Hadoop Projects So Important?

Hadoop 52
article thumbnail

Highest Paying Data Science Jobs in the World

Knowledge Hut

They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually. They manage data storage and the ETL process.

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 Engineering Glossary

Silectis

Big Data Large volumes of structured or unstructured data. Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse.

article thumbnail

Details About Data Architect Salary for 2023

Knowledge Hut

Who is a Data Architect? This increased the data generation and the need for proper data storage requirements. A data architect is concerned with designing, creating, deploying, and managing a business entity's data architecture.

article thumbnail

Top 15 Cloud Computing Projects Ideas for Beginners in 2023

ProjectPro

For example, data security in cloud computing is a crucial area, and working on data security cloud projects will enable you to develop skills in cloud computing, risk management, data security, and privacy. Data security and cloud computing are the areas focussed on this project.

article thumbnail

Data Engineer vs Data Scientist- The Differences You Must Know

ProjectPro

They are focused on the production readiness of data and things like formats, resilience, scaling, and security. It means that a data engineer is the one who is responsible for gathering large amounts of data relevant to the organization and grouping and storing this data securely in an organized and easily accessible format.

article thumbnail

Azure Data Engineer Skills – Strategies for Optimization

Edureka

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.