Ascend.io

JANUARY 2, 2024

But let’s be honest, creating effective, robust, and reliable data pipelines, the ones that feed your company’s reporting and analytics, is no walk in the park. From building the connectors to ensuring that data lands smoothly in your reporting warehouse, each step requires a nuanced understanding and strategic approach.

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

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 Architect Data Mining Programming Language 52

Edureka

FEBRUARY 7, 2023

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. Gain hands-on experience using Azure data services.

Data Engineer 52

Data Engineer Data Engineering Engineering 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 Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

DataKitchen

FEBRUARY 21, 2023

Make Trusted Data Products with Reusable Modules : “Many organizations are operating monolithic data systems and processes that massively slow their data delivery time.” Have data engineers either ‘build and run’ their own systems or integrate operations teams throughout the process.

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Azure Synapse vs. Databricks: Leveraging Data Lake Leveraging data lakes for storing and processing data is a common practice in modern data architectures.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Knowledge Hut

NOVEMBER 19, 2023

Big Data/Data Engineer Roles & Responsibilities: Big Data Engineers accumulate data, transform it, and provide accessibility as well as quality control. Data engineers design and maintain data pipelines to make data available for AI and ML apps.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52