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. Big Data Engineer/Data Architect With the growth of Big Data, the demand for Data Architects has also increased rapidly.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

JUNE 23, 2023

You should have the expertise to collect data, conduct research, create models, and identify patterns. You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. You must develop predictive models to help industries and businesses make data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

JULY 15, 2021

From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate. Secure Text Transfer Application The project's goal is to securely send the textual information to preserve the information's privacy, confidentiality, and integrity.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Knowledge Hut

SEPTEMBER 6, 2023

Discover how these certifications can empower your career, from mastering cutting-edge database technologies to ensuring data security and compliance, providing you with a competitive edge in the digital age. Skills acquired : Core data concepts. Concept of structured, semi-structured, and unstructured data.

Database 52

Database Certification MongoDB MySQL 52

ProjectPro

JULY 27, 2021

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. Hadoop is highly scalable.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

MAY 12, 2023

A fixed schema means the structure and organization of the data are predetermined and consistent. It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Data durability and availability.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59