Data Ingestion Data Workflow Hadoop Metadata 
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.
Databand.ai
AUGUST 30, 2023
DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. These tools help organizations implement DataOps practices by providing a unified platform for data teams to collaborate, share, and manage their data assets.
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Monte Carlo
JUNE 14, 2023
Why is data pipeline architecture important? 5 Data pipeline architecture designs and their evolution The Hadoop era , roughly 2011 to 2017, arguably ushered in big data processing capabilities to mainstream organizations. Singer – An open source tool for moving data from a source to a destination.
AltexSoft
SEPTEMBER 21, 2023
The Elastic Stacks Elasticsearch is integral within analytics stacks, collaborating seamlessly with other tools developed by Elastic to manage the entire data workflow — from ingestion to visualization. Each document has unique metadata fields like index , type , and id that help identify its storage location and nature.
AltexSoft
MARCH 14, 2023
Also, Databricks are pioneering the lakehouse concept that makes it possible to use data management features inherent in data warehousing on the raw data stored in a low-cost data lake owing to its metadata layer. Data orchestration involves managing the scheduling and execution of data workflows.
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