Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

ETL stands for Extract, Transform, and Load, which involves extracting data from various sources, transforming the data into a format suitable for analysis, and loading the data into a destination system such as a data warehouse. ETL developers play a significant role in performing all these tasks.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Knowledge Hut

MARCH 13, 2024

Thus, the role demands prior experience in handling large volumes of data. To ensure the datasets are correctly handled, the Big Data Engineer should be thorough with various ETL tools, SQL tools, frameworks like Hadoop and Apache Spark, and programming languages like Python or Java. Salary: $135,000 - $165,000 2.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

Thus, the role demands prior experience in handling large volumes of data. To ensure the datasets are correctly handled, the Big Data Engineer should be thorough with various ETL tools, SQL tools, frameworks like Hadoop and Apache Spark, and programming languages like Python or Java. Salary: $135,000 - $165,000 2.Big

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

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 use tools like Microsoft Power BI or Oracle BI to develop dashboards, reports, and Key Performance Indicator (KPI) scorecards.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

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. Data is regularly updated.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Rockset

FEBRUARY 17, 2022

New Thing 3: Data Empowers Business Team Members Zack Khan, Hightouch In 2022, every modern company now has a cloud data warehouse like Snowflake or BigQuery. Chances are, you’re primarily using it to power dashboards in BI tools. First party data (data explicitly collected from customers) has never been more important.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52