Knowledge Hut

MARCH 28, 2024

Education & Skills Required Extensive experience in data warehouse design, development, and implementation, preferably on Azure. Proficiency in SQL and experience with database management systems, data modeling, and ETL tools. Strong understanding of cloud computing principles, data warehousing concepts, and best practices.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

SEPTEMBER 25, 2023

Microsoft Azure is a cloud computing platform that gives businesses fantastic services. This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. To start a successful career in cloud computing, you must have a solid conceptual foundation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

SEPTEMBER 29, 2023

Why Should You Get an Azure Data Engineer Certification? Becoming an Azure data engineer allows you to seamlessly blend the roles of a data analyst and a data scientist. One of the pivotal responsibilities is managing data workflows and pipelines, a core aspect of a data engineer's role.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 28, 2023

This certification, often referred to as the Azure Data Engineer Associate certification, validates the competency of individuals in implementing Azure data solutions. It’s a testament to their ability to create scalable, efficient and secure data pipelines. What is the Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

Integrating and transforming data: Azure Data Engineers are experts at building and managing data pipelines, combining data from several sources, and converting it into formats suitable for analysis and reporting. Azure Data Factory stands at the forefront, orchestrating data workflows.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Hepta Analytics

FEBRUARY 14, 2022

Disadvantages of a data lake are: Can easily become a data swamp data has no versioning Same data with incompatible schemas is a problem without versioning Has no metadata associated It is difficult to join the data Data warehouse stores processed data, mostly structured data.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

Meltano

OCTOBER 5, 2022

Meltano is based on the extract, load, transform (ELT) principle to simplify the extraction of data from various sources and load it into data warehouses or databases, using Singer taps and targets. Data Orchestration Data orchestration allows businesses to streamline and automate the way they derive insights from data.

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52