Knowledge Hut

MAY 9, 2024

While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

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

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. 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

ProjectPro

FEBRUARY 8, 2023

Data Integration and Transformation, A good understanding of various data integration and transformation techniques, like normalization, data cleansing, data validation, and data mapping, is necessary to become an ETL developer. Extract, transform, and load data into a target system.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Rockset

FEBRUARY 17, 2022

To solve this last mile problem and ensure your data models actually get used by business team members, you need to sync data directly to the tools your business team members use day-to-day, from CRMs like Salesforce to ad networks, email tools and more. As data engineers, how we engineer said data is important.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52