Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. It has gained widespread popularity for its ability to seamlessly bring together data ingestion, exploration, model development, and deployment within a single, collaborative workspace.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

MARCH 28, 2024

Role Level Intermediate Responsibilities Design and develop data pipelines to ingest, process, and transform data. Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Ascend.io

JANUARY 2, 2024

The sources of data can be incredibly diverse, ranging from data warehouses, relational databases, and web analytics to CRM platforms, social media tools, and IoT device sensors. Regardless of the source, data ingestion, which usually occurs in batches or as streams, is the critical first step in any data pipeline.

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Edureka

FEBRUARY 7, 2023

According to Glassdoor, the median salary for an Azure Data Engineer in the United States is $120,000 per year. Career growth opportunities: The role of an Azure Data Engineer provides opportunities for career growth, as individuals can advance to positions such as Data Architect or Data Scientist.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Explain the data preparation process. Steps for Data preparation.

Big Data 52

Big Data Hadoop AWS Relational Database 52