Knowledge Hut

JANUARY 18, 2024

BI developers must use cloud-based platforms to design, prototype, and manage complex data. To pursue a career in BI development, one must have a strong understanding of data mining, data warehouse design, and SQL. Roles and Responsibilities Write data collection and processing procedures.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

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. They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in Data Mining and Data Warehouse Design.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

MARCH 22, 2024

Proficiency in MongoDB query language and database design principles. Extensive experience in MongoDB database administration and architecture. Proficiency in database design principles and optimization techniques. Proficiency in MongoDB query language and database design principles.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Knowledge Hut

JUNE 15, 2023

Every business unit, including marketing , production, and finance, uses data to make significant decisions and carry out its operations. That is why every organization works towards designing and building structures for proper data storage and analysis. This process of data management is called data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

DECEMBER 6, 2023

Data Analyst Data Analysts act as a bridge between data science and business. Data Analysts gather relevant data from various sources and must be able to present their findings in a way that all project stakeholders can understand. 3-10 LPA, but most of the companies offer a bit static salary ranging between Rs.

Engineering 52

Engineering Computer Science Programming Language Education 52

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40