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. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Databand.ai

JULY 19, 2023

ELT offers a solution to this challenge by allowing companies to extract data from various sources, load it into a central location, and then transform it for analysis. The ELT process relies heavily on the power and scalability of modern data storage systems. The data is loaded as-is, without any transformation.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

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. Data Governance Know-how of data security, compliance, and privacy.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

MAY 9, 2024

Big Data Engineer Big data engineers focus on the infrastructure for collecting and organizing vast amounts of data, building data pipelines, and designing data infrastructures. They manage data storage and the ETL process. The standard salary range, however, is $95,000 to $154,000.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Grouparoo

DECEMBER 7, 2021

If inadequate quality data enters a process, then any integrity change will not affect the quality of the data, just its correctness. Ensuring good data quality is a separate topic from maintaining good data integrity. Why is Data Integrity Important? Data integrity is one of the triads of data security.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52